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<h3>Job Description</h3>
Job DescriptionAbout The Diffuse Project:
The Diffuse Project is dedicated to advancing our understanding of protein motion through the use of diffuse scattering – a signal in X-ray crystallography that is currently under-utilized or ignored, that will unlock our ability to measure protein dynamics. We are bringing together a diverse team of researchers, software developers, and beamline scientists to accomplish our mission. We are committed to Open Science principles of making all of our work, software, and data open and FAIR all along the way. The Diffuse Project is generously funded by and is part of the Astera Institute. You can read more about The Diffuse Project here, and Astera’s mission, vision, and programming here.
Position Summary:
The Diffuse Project is seeking a Machine Learning Infrastructure Engineer to lead the development of robust, scalable backend systems that power machine learning–driven discoveries in structural biology. You will work at the intersection of scientific research and software engineering, working with researchers to train, test, and deploy ML models directly on experimental data (electron density/structure factors) coming from X-ray crystallography and cryo-EM.
This role is ideal for someone with deep experience in ML infrastructure and scientific computing who thrives in a collaborative and product-minded environment. This is a 6-month assignment with potential for extension.
Key Responsibilities:
<ul>
<li>
Architect, build, and maintain ML infrastructure pipelines for model training, validation, and deployment across diverse experimental datasets in collaboration with scientists
</li>
<li>
Design and manage data ingestion and preprocessing workflows for structural biology data (PDBs, cryo-EM maps, diffraction patterns, etc.) in collaboration with scientists
</li>
<li>
Develop and maintain backend services and APIs that support modular access to models, datasets, and experiment metadata
</li>
<li>
Support GPU/accelerated training on local HPC clusters or cloud platforms
</li>
<li>
Implement data versioning, model tracking, and reproducibility tools
</li>
<li>
Collaborate with ML researchers and experimentalists to streamline the integration of new algorithms, datasets, and evaluation metrics
</li>
<li>
Ability to work effectively in a multidisciplinary team environment
</li>
</ul>
Experience and Skills:
<ul>
<li>
Strong programming skills in Python, ideally with experience in PyTorch
</li>
<li>
Deep understanding of machine learning infrastructure, including model training pipelines, GPU utilization, experiment tracking, and deployment
</li>
<li>
Proficiency in backend development (e.g., REST APIs, containerization with Docker, workflow management, and data engineering tools)
</li>
<li>
Experience with distributed compute environments
</li>
<li>
Solid understanding of scientific computing workflows, version control, and reproducibility principles
</li>
<li>
At least two years of experience working on ML models
</li>
<li>
(Bonus) Familiarity with structural biology data formats
</li>
<li>
(Bonus) Experience designing systems for diffusion-based models
</li>
</ul>
Employment Type:
W-2, Fix-term employment, 6-month assignment. Potential extension based on performance and business needs.
Location:
This role is Remote, with access to our office located in Emeryville, CA. Some travel may be required from time-to-time for in-person collaboration and work.
Compensation:
The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.

Machine Learning Infrastructure Engineer - Diffuse

<h3>Job Description</h3>
Job Description
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. 
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
About The Team
The dynamic and diverse Electrical Engineering team at Serve Robotics ensures product safety and effectiveness. Key to driving company success, they collaborate, innovate, and create efficient solutions for high-performance robotic applications.
What you'll be doing 
As a Senior Electrical Engineer, this individual will be responsible for designing complex printed circuit boards (PCBs) and proposing the overall electrical architecture. They will select key electrical components to ensure optimal system performance and collaborate closely with cross-functional teams, including mechanical, software, and systems engineers, to ensure seamless integration of electrical components. Additionally, they will prioritize electrical safety and electromagnetic compatibility requirements. The individual will lead on design requirements, specifications, design risk assessment, test methods, verification testing, and more.
 How a day look for our Sr Electrical Engineer
<ul>
<li>
Design the electrical architecture for the next-gen delivery robot, supporting multiple market applications. Prioritize high-speed analog and digital design, high-speed data cabling, high voltage power, embedded systems, and motor controllers.
</li>
<li>
Own the complete lifecycle of PCBA development, including specification, architecture, design, simulation, schematics, layout, prototype validation, and manufacturing.
</li>
<li>
Define and maintain comprehensive documentation outlining system design specifications, power consumption estimates, and validation strategies to ensure product performance and reliability.
</li>
<li>
Develop hardware with a focus on Design for manufacturing, ensuring efficient production processes, Design for test, and compliance with electromagnetic compatibility (EMC) and electromagnetic interference (EMI) standards.
</li>
<li>
Work closely with embedded software engineers to enable seamless hardware-firmware integration, ensuring proper functionality, debugging, and optimization during early prototype development.
</li>
<li>
Investigate hardware failures, system-level issues, and performance deviations using analytical techniques and debugging tools to identify root causes and implement corrective actions.
</li>
</ul>
Qualifications
<ul>
<li>
BS in Electrical Engineering; MS/PhD preferred.
</li>
<li>
10+ years of experience in designing and testing electrical systems in robotics, consumer electronics, or related fields.
</li>
<li>
Expertise in high-speed analog and digital design, embedded systems, power electronics, and motor controllers.
</li>
<li>
Broad technical skills, capable of contributing to various aspects of robotic system design.
</li>
<li>
Proficient in electrical CAD tools and PCBA design workflows; Altium experience preferred.
</li>
<li>
Working knowledge of Linux command line for scripting, text editing, and system operations.
</li>
<li>
Extensive hands-on experience with oscilloscopes, DMMs, spectrum analyzers, LCR/network analyzers, and soldering equipment.
</li>
<li>
Familiarity with communication protocols including CAN, RS-485, UART, SPI, I2C, and Ethernet.
</li>
<li>
Experience in power electronics, including DC-DC converters and battery management systems.
</li>
<li>
Strong interpersonal and communication skills, with the ability to collaborate across cross-functional teams and vendors.
</li>
</ul>
What makes you standout
<ul>
<li>
Proficiency with the NVIDIA Jetson platform.
</li>
<li>
Deep expertise in one or more areas: sensors, motors, batteries, cameras, power systems, and thermal design.
</li>
<li>
Experience managing overseas vendor partnerships and factory support.
</li>
<li>
Industry experience in automotive, medical, aerospace, or robotics.
</li>
<li>
Strong background in brushless DC motor tuning, motor specification, and validation.
</li>
<li>
Expertise in thermal testing and EMC/EMI compliance verification.
</li>
<li>
Proficiency in developing automation scripts (Python, Bash) for hardware testing.
</li>
</ul>
Compensation Range: $150K - $200K

Senior Power Engineer

<h3>Job Description</h3>
Job DescriptionResearch Scientist (AI Agent Economies) | naptha.aiAbout this role
We are seeking an exceptional Agent Economics Researcher to study and design incentive structures and economic systems for large-scale AI agent networks. This is a rare opportunity to shape the future of AI agent infrastructure at a massively ambitious scale, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups.
We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers (many leaving labs like OpenAI, Anthropic, and DeepMind) to build products powered by enormous networks of highly capable next-generation AI agents. As our Agent Economics Researcher, you'll develop the theoretical and practical frameworks for how agents cooperate, compete, and create value within complex networks.
Core Responsibilities
<ul>
<li>
Design and study economic mechanisms for agent networks
</li>
<li>
Research incentive structures for agent collaboration
</li>
<li>
Develop frameworks for resource allocation and optimization
</li>
<li>
Study economic behavior patterns in agent systems
</li>
<li>
Create models for agent value creation and exchange
</li>
<li>
Research market dynamics in agent networks
</li>
<li>
Design experiments to validate economic theories
</li>
</ul>
Research Areas
<ul>
<li>
Mechanism design for agent systems
</li>
<li>
Game theory in multi-agent networks
</li>
<li>
Resource allocation optimization
</li>
<li>
Market design for agent economies
</li>
<li>
Incentive alignment in agent networks
</li>
<li>
Economic efficiency in distributed systems
</li>
<li>
Value creation and capture in agent networks
</li>
</ul>
You're a good fit if you have:
<ul>
<li>
PhD or equivalent experience in Economics, Computer Science, or related field
</li>
<li>
Strong background in mechanism design and game theory
</li>
<li>
Experience with multi-agent systems or markets
</li>
<li>
Understanding of distributed systems economics
</li>
<li>
Strong mathematical and analytical skills
</li>
<li>
Interest in both theoretical and applied research
</li>
<li>
Ability to translate economic theory into practical systems
</li>
</ul>
Required Experience:
<ul>
<li>
Research experience in economics or mechanism design
</li>
<li>
Strong mathematical and modeling skills
</li>
<li>
Programming ability for economic simulations
</li>
<li>
Track record of novel research contributions
</li>
<li>
Understanding of distributed systems
</li>
<li>
Experience with experimental design
</li>
</ul>
About the hiring process:
<ul>
<li>
Research presentation
</li>
<li>
Economic design challenge
</li>
<li>
Technical discussion
</li>
<li>
Team collaboration interview
</li>
<li>
Vision and strategy workshop
</li>
</ul>
Compensation &amp; Benefits:
<ul>
<li>
Highly competitive salary and significant equity stake
</li>
<li>
Remote-first work environment
</li>
<li>
Full medical, dental, and vision coverage
</li>
<li>
Flexible PTO policy
</li>
<li>
Research conference budget
</li>
<li>
Publication support
</li>
<li>
Learning and development budget
</li>
</ul>
Additional Notes:
<ul>
<li>
Must be comfortable with ambiguity and rapid iteration typical of pre-seed startups
</li>
<li>
Strong bias for practical implementation of research ideas
</li>
<li>
Passion for advancing the field of multi-agent systems
</li>
<li>
Interest in open source contribution and community engagement
</li>
</ul>
This is a unique opportunity to shape the economic foundations of future AI systems, designing the mechanisms and incentives that will govern how agents interact and create value at scale.

Research Scientist (AI Agent Economies)

<h3>Job Description</h3>
Job DescriptionAbout LILT
AI is changing how the world communicates — and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
 At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.
The Solutions Team at LILT
LILT’s Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies.&nbsp; Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT’s overall offering.&nbsp; While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams.&nbsp; Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers.&nbsp; While we’re at it, we have fun and enjoy the ride together.
Where You’ll Work
Get the best of both worlds at LILT! Dive into dynamic in-office energy 3 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!
This position can be based out of our San Francisco, CA or Indianapolis, IN offices and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations.
Authorization to work in the US is a precondition of employment.
What You’ll Do
We're looking for an experienced Solutions AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once.
You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise in sales pursuits to drive LILT customer acquisition and success. You will have a broad range of skills and experience, ranging from global content management lifecycle and a working knowledge of content pipelines and integrations. You will make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection, and the technical skills to build demos, execute proof-of-concepts, and provide consultative assistance on architecture and implementation.
Key Responsibilities:
<ul>
<li>
Serve as the technical co-pilot to LILT Account Executives, managing the customer’s technical experience from scoping (pre-sales) to deployment (post-sales / success)
</li>
<li>
Build and present reference architectures, how-tos, and demo applications for customers
</li>
<li>
Be a subject-matter expert in translation and localization process optimization and best practices
</li>
<li>
Understand and align the customer’s technology stack to optimize localization processes
</li>
<li>
Work cross-functionally to ensure smooth prospect-to-customer transitions and long-term customer success
</li>
<li>
Play an active role in the development and maintenance of customer integrations
</li>
<li>
Develop and iterate on internal processes to ensure consistency across our solutions engagements
</li>
<li>
Track existing technology solutions and follow the latest trends and developments relevant to multilingual content management and translation; specifically the application of AI
</li>
</ul>
Skills and Experience:
<ul>
<li>
At least 4+ years of experience in a technical pre-sales role at a language services, language technology, or content management company
</li>
<li>
Experience working with a complex services-oriented solution
</li>
<li>
Proven ability to communicate, present, and influence effectively at all levels of the organization, including executive and C-level.
</li>
<li>
Experience in localization engineering is highly desirable
</li>
<li>
Familiarity with integrating CMS systems to translation workflows highly desirable
</li>
<li>
Familiarity with Large Language Models, including fine-tuning, highly desirable
</li>
<li>
A passion for technical and solution-based problem solving
</li>
<li>
Analytical approach to intelligence gathering and project planning
</li>
<li>
Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives
</li>
<li>
Keen attention to detail and adherence to deadlines
</li>
<li>
Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment
</li>
<li>
Self-motivated and inspired by a results-driven environment
</li>
<li>
Confidence in communicating technical ideas to various audiences, primarily through presentations, whiteboarding, and platform demonstrations
</li>
<li>
Comfort with a bit of chaos; startup experience is an advantage
</li>
<li>
Ability to work independently and self sufficiently while being part of a team and pursuing team goals
</li>
</ul>
Benefits
 US Postings
<ul>
<li>
Compensation: At market salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays
</li>
<li>
Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
</li>
<li>
Paid parental leave is provided after 6 months.
</li>
<li>
Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
</li>
</ul>
Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.
Salary range- $115K-$120K
Our Story
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.
 
Our Tech
What sets our platform apart:
<ul>
<li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
</li>
<li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
</li>
<li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
</li>
<li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review
</li>
</ul>
 LILT in the News
<ul>
<li>
Featured in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.
</li>
<li>
Check out all our news on our website.
</li>
</ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Compensation Range: $133K - $200K

Solutions AI Architect (Pre-Sales)

<h3>Job Description</h3>
Job Description
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
About This Role:
We are seeking a Principal Software Engineer - Software Defined Networking to lead the development and execution of our Software Defined Networking strategy. This role will be instrumental in driving innovation and performance improvements within our network infrastructure by leveraging cutting-edge technologies like XDP/EBPF, DPDK, SmartNICs, and DPU/IPUs.
What You’ll Be Working On:
<ul>
<li>
Develop and execute the roadmap for the Software Defined Networking strategy at Crusoe Cloud.
</li>
<li>
Guide the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks.
</li>
<li>
Collaborate with the network infrastructure organization to develop industry-leading networking infrastructure.
</li>
<li>
Lead Linux Kernel and driver development, system architecture design, production support, and cross-functional collaboration.
</li>
</ul>
What You’ll Bring to the Team:
<ul>
<li>
10+ years of related experience building and operating at scale in a production environment.
</li>
<li>
Proven experience in system programming with C, C++ and/or Rust.
</li>
<li>
Extensive knowledge of Linux Systems Internals and computer architecture.
</li>
<li>
Expertise in Network Programming and Packet Processing pipelines.
</li>
<li>
Hands-on experience with kernel bypass technologies such as XDP/EBPF, AF_XDP, and DPDK.
</li>
<li>
In-depth understanding of TCP/IP and network accelerators like Mellanox/Nvidia SmartNIC (ConnectX6/7), DPU Bluefield3, and Intel IPU.
</li>
<li>
Familiarity with SR-IOV, vDPA, and scalable functions.
</li>
<li>
Strong background in kernel or embedded development, particularly with the Linux kernel.
</li>
<li>
Experience with Open vSwitch, Openflow, and Open Virtual Networking.
</li>
<li>
Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
</li>
<li>
Demonstrated track record of contributions to the open source community (e.g., Open vSwitch/OVS, Open Virtual Networking/OVN, Multus, Cilium).
</li>
</ul>
Bonus Points:
<ul>
<li>
Advanced degree in Computer Science, Engineering, or a related field.
</li>
<li>
Proven leadership experience in a technical role.
</li>
<li>
Experience with cloud networking platforms (AWS, Azure, GCP) and virtualization technologies (VMware, KVM).
</li>
</ul>
Benefits:
<ul>
<li>
Industry competitive pay
</li>
<li>
Restricted Stock Units in a fast growing, well-funded technology company
</li>
<li>
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
</li>
<li>
Employer contributions to HSA accounts
</li>
<li>
Paid Parental Leave
</li>
<li>
Paid life insurance, short-term and long-term disability
</li>
<li>
Teladoc
</li>
<li>
401(k) with a 100% match up to 4% of salary
</li>
<li>
Generous paid time off and holiday schedule
</li>
<li>
Cell phone reimbursement
</li>
<li>
Tuition reimbursement
</li>
<li>
Subscription to the Calm app
</li>
<li>
MetLife Legal
</li>
<li>
Company paid commuter benefit; $300 per month
</li>
</ul>
Compensation:
Compensation will be paid in the range of $238,000 - $298,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Principal Software Engineer, SDN Networking

<h3>Job Description</h3>
Job Description🚀 Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together.
From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
&amp;#x1F4BB; The Role
Platform Engineers at Whatnot own the foundations of our main backends, real-time services, and storage systems. The team ensures these core platforms evolve to support rapid product growth while remaining reliable and scalable.
This role is focused on our Python-based main backend and our storage platforms. You will help scale and optimize the runtime, refactor and modularize our codebases, improve storage systems, and build shared platform services and components that underpin the product experience.
You will work on problems like:
<ul>
<li>
Evolving our Python runtime and stack by improving performance, concurrency, memory use, and dependency management.
</li>
<li>
Building and scaling core platform services that provide the foundation for reliability, scalability, and developer velocity across engineering.
</li>
<li>
Optimizing storage systems for consistency, scale, and performance.
</li>
<li>
Embedding observability and reliability patterns into the platform by default.
</li>
<li>
Refactoring and modularizing large-scale codebases to maintain developer velocity and ensure our primary codebases remain a productive environment at scale.
</li>
<li>
Partnering with product and infra teams to deliver platform APIs and abstractions that strike the right balance between velocity and long-term stability.
</li>
<li>
Laying the groundwork for future platform needs, from global expansion to enabling new product capabilities.
</li>
</ul>
This is a highly visible role: the platform team provides the technical foundation that allows Whatnot to scale rapidly while remaining reliable. 
👋 About You
<ul>
<li>
7+ years of backend engineering experience (10+ for Staff-level).
</li>
<li>
Strong experience with large-scale backend systems, ideally Python, but experience in other stacks (Java, Go, Elixir, etc.) welcome.
</li>
<li>
Deep expertise with storage systems (Postgres, DynamoDB, Planetscale).
</li>
<li>
Proven experience building or scaling messaging, notification, or caching systems.
</li>
<li>
Background in refactoring large codebases for scale, performance, and maintainability.
</li>
<li>
Hands-on with runtime and platform optimization such as concurrency models, async patterns, and memory tuning.
</li>
<li>
Familiarity with service reliability and observability practices such as metrics, tracing, circuit breakers, and failure isolation.
</li>
<li>
Comfortable operating in a cloud-native environment such as AWS or GCP with Kubernetes, Docker, and Terraform.
</li>
<li>
Known for setting strong technical standards and for building patterns that other engineers adopt.
</li>
<li>
Bonus: prior experience in a hyper-growth environment. 
</li>
</ul>
🎁 Benefits
<ul>
<li>
Generous Holiday and Time off Policy
</li>
<li>
Health Insurance options including Medical, Dental, Vision
</li>
<li>
Work From Home Support
<ul>
<li>
Home office setup allowance
</li>
<li>
Monthly allowance for cell phone and internet
</li>
</ul>
</li>
<li>
Care benefits
<ul>
<li>
Monthly allowance for wellness
</li>
<li>
Annual allowance towards Childcare
</li>
<li>
Lifetime benefit for family planning, such as adoption or fertility expenses
</li>
</ul>
</li>
<li>
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
</li>
<li>
Monthly allowance to dogfood the app
<ul>
<li>
All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
</li>
</ul>
</li>
<li>
Parental Leave
<ul>
<li>
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
</li>
</ul>
</li>
</ul>
💛 EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $190K - $260K

Software Engineer, Platform Engineering

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI.
Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to bring their bold AI ambitions to life. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration.
<ul>
<li>
Industry: Cloud Computing, AI
</li>
<li>
Product/Service: AI-centric cloud platform offering infrastructure optimized for training AI models
</li>
<li>
Company size: ~800 employees
</li>
<li>
Candidate location: San Francisco Bay Area or New York City
</li>
</ul>
The Opportunity
As Senior Partner Manager, Venture Capital, you will take ownership of building and managing relationships with leading U.S. venture capital firms, accelerators, and startup networks. This is a high-visibility role where you will directly impact startup adoption of the cloud platform and help position our client as the partner of choice for AI-native companies.
You will be both strategist and executor: driving growth in the startup pipeline, shaping partnership initiatives, and fostering a thriving ecosystem that accelerates AI businesses in the U.S.
What You'll Do
<ul>
<li>
Build and manage partnerships with leading VC firms, accelerators, and startup ecosystem partners
</li>
<li>
Act as a trusted representative, educating stakeholders on our infrastructure capabilities and market differentiation
</li>
<li>
Source and onboard high-potential AI startups into the Company’s Startup Program
</li>
<li>
Design and execute value-added initiatives like joint programs, GTM resources, and case studies
</li>
<li>
Collaborate with sales and marketing teams to ensure clear tracking, strong engagement, and effective conversion into long-term users
</li>
<li>
Track and report on key KPIs, including startup acquisition, activation, and revenue impact
</li>
<li>
Actively participate in the VC or technology ecosystem, attending events and conferences
</li>
</ul>
What You Bring
<ul>
<li>
7+ years in partnerships, business development, or sales, with 5 years in VC/startup ecosystems
</li>
<li>
Proven track record of driving pipeline growth and ecosystem partnerships
</li>
<li>
Direct VC/accelerator/founder experience, hands-on AI/cloud sales/partnerships expertise
</li>
<li>
Deep understanding of AI/ML startups landscape
</li>
<li>
Strong network in venture capital and startup ecosystems
</li>
<li>
Excellent communication, stakeholder management, and presentation skills
</li>
<li>
CRM proficiency (HubSpot/Salesforce)
</li>
</ul>
Key Attributes to Success
<ul>
<li>
Passion for AI and transformative technologies
</li>
<li>
Exceptional networking skills
</li>
<li>
Entrepreneurial and results-driven mindset
</li>
<li>
Adaptability, resilience, and the ability to thrive in a constantly changing startup environment
</li>
<li>
Ability to simplify complex technical concepts for non-technical audiences
</li>
<li>
Comfortable working with an international team and diverse client base
</li>
</ul>
Why Join?
<ul>
<li>
On-target earnings (OTE): $215,000 - $275,000 + equity based on your experience
</li>
<li>
Full medical benefits: 100% coverage for health, vision, and dental insurance
</li>
<li>
Stock options plan
</li>
<li>
401(k) plan with up to 4% company match and immediate vesting
</li>
<li>
Company-paid short-term, long-term and life insurance coverage.
</li>
<li>
PTO and paid holidays, parental leave
</li>
<li>
Flexible remote work environment
</li>
<li>
Attend top-tier industry events to expand your professional network
</li>
<li>
Startup culture with stability: excitement and innovation of a startup backed by the resources of an established company
</li>
<li>
Make a real impact and play a key role in shaping the adoption of AI, democratizing access to AI infrastructure, and enabling businesses to push the boundaries of what's possible with artificial intelligence
</li>
</ul>
Interviewing Process
<ul>
<li>
HR screening
</li>
<li>
Level 1 - Virtual interview with Hiring Manager
</li>
<li>
Level 2 - Virtual interview with Head of Venture Partnerships
</li>
<li>
Level 3 - Team member interview
</li>
<li>
Level 4 - CRO final round
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $215K - $275K

Senior Partner Manager, Venture Capital (Cloud & AI Infra)

<h3>Job Description</h3>
Job Description
 Changing Healthcare For Good 
At Angle Health, we believe the healthcare system should be accessible, transparent, and easy to navigate. As an AI-native, integrated healthcare company, we are replacing legacy systems with modern infrastructure to deliver members and patients the care they need when they need it. If you want to build the future of healthcare, we'd love for you to join us.
 The Role As an early engineer at Angle, you'll play a key role in architecting and scaling the core backend infrastructure that powers our healthcare platform. This is an opportunity to build systems from the ground up—designing APIs, structuring data models, and optimizing performance to support a high-growth company.
You'll work closely with product owners, designers, and other engineers to bring new features to life, ensuring our systems are both scalable and reliable. From architecting backend services to debugging performance bottlenecks, you’ll have full ownership of the product lifecycle—shaping everything from system design to implementation.
This role is perfect for engineers who love tackling complex problems in a fast-paced environment, enjoy working with cross-functional teams, and want to see their work directly impact the future of healthcare. If you're excited by the challenge of building high-performance backend systems at scale, we'd love to have you on board.
This position is remote within the US.
Core Responsibilities 
<ul>
<li>
Work directly with the Head of R&amp;D in architecting and building Angle's backend infrastructure
</li>
<li>
Work with product owners &amp; designers to build a scalable implementation process across multiple web products
</li>
<li>
Support the entire application lifecycle, including concept, design, test, release, and support phases
</li>
<li>
Build optimal backend applications that are performant at scale
</li>
<li>
Work together with the product leadership to plan new features
</li>
<li>
Oversee the compliance of applications with established quality standards
</li>
</ul>
What We Value
<ul>
<li>
4+ years software engineering experience
</li>
<li>
Strong understanding of business context and a desire to connect engineering solutions to real-world problems, driving impactful outcomes for the company and its users
</li>
<li>
Strong engineering background in technical fields such as Computer Science, Mathematics, Software Engineering, and Physics
</li>
<li>
Familiarity with data structures, CI/CD, software development lifecycles, backend frameworks, and other technical tools
</li>
<li>
Demonstrated proficiency in Python and Django, experience with Java is a plus
</li>
<li>
Demonstrated ability to learn and work independently and make decisions with minimal supervision
</li>
<li>
A desire to be part of the journey to change the face of healthcare
</li>
<li>
Inspire your colleagues with your thirst for mastering the things you work with
</li>
<li>
Are a passionate developer, proud of the quality of your work
</li>
</ul>
The salary range for this job opportunity is $100,000 to $200,000 per year, which is the amount Angle Health anticipates paying for this position at the time of this job posting. The actual base salary offered may differ and will depend on various factors such as geographic location, skills, qualifications, and experience, as well as internal equity.
 Because We Value You:
<ul>
<li>
Competitive compensation and stock options
</li>
<li>
100% company-paid health, vision, and dental insurance — for you and your dependents
</li>
<li>
Supplemental Life, AD&amp;D, and Short-Term Disability coverage options
</li>
<li>
Discretionary time off — take the time you need, when you need it
</li>
<li>
Opportunity for rapid career progression
</li>
<li>
3 months of paid parental leave, plus a flexible return-to-work policy (after 12 months of employment)
</li>
<li>
Equinox membership, Monthly MetroCard, and Annual Citi Bike coverage for NYC office employees
</li>
<li>
401(k) retirement savings plan
</li>
<li>
Company-provided lunch and dinner for in-office employees
</li>
<li>
More exciting benefits coming soon!
</li>
</ul>
About Us Backed by a team of world class investors, we are a healthcare startup on a mission to make our health system more effective, accessible, and affordable to everyone. From running large hospitals and health plans to serving on federal healthcare advisory boards to solving the world's hardest problems at Palantir, our team has done it all. As part of this core group at Angle Health, you will have the right balance of support and autonomy to grow both personally and professionally and the opportunity to own large parts of the business and scale with the company.&nbsp;
Angle Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Angle Health is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.&nbsp; ⚠️ A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Angle Health using lookalike email addresses (like @anglehealthcareers.com). Please note that all legitimate emails from our team come from @anglehealth.com. We will never ask for sensitive information or conduct interviews via messaging apps. 
Compensation Range: $100K - $200K

Backend Software Engineer

<h3>Job Description</h3>
Job Description
About Us:
At Parafin, we’re on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.&nbsp;
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools&nbsp; to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.&nbsp;
We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
About the Position
We’re seeking an experienced software engineer to join our Infrastructure team to lead key initiatives around security-focused platform engineering. At Parafin, the Infrastructure team owns core platforms spanning cloud infrastructure, compute, networking, developer experience, data infrastructure, and security.
In this role, you’ll design and implement scalable, secure systems and tooling that empower engineers to move quickly while maintaining a strong security posture. You’ll play a critical role in shaping how we manage access, secure our compute and networking layers, and build foundational infrastructure that supports our rapidly growing platform.
What You’ll Be Doing
<ul>
<li>
Lead the design and implementation of secure, reliable infrastructure platforms—across compute, networking, identity, and policy enforcement.
</li>
<li>
Own and evolve the security posture of our Kubernetes platform, focusing on isolation, observability, and resilience.
</li>
<li>
Build and operate systems for managing secrets, service-to-service auth, and access control.
</li>
<li>
Define and codify best practices in infrastructure security, infrastructure-as-code, and software integrity.
</li>
<li>
Collaborate with engineers across Infrastructure and Product teams to introduce secure-by-default tooling and abstractions.
</li>
<li>
Drive improvements to our availability, incident response, and audit capabilities through automation and thoughtful platform design.
</li>
<li>
Mentor engineers and influence a culture of security-minded engineering across the company.
</li>
</ul>
What We’re Searching For
<ul>
<li>
8+ years of experience in software or infrastructure engineering, with significant focus on secure infrastructure and platform development.
</li>
<li>
Strong proficiency in coding languages such as Python
</li>
<li>
Deep expertise with Kubernetes and its surrounding ecosystem (e.g., service mesh, admission controllers, observability, RBAC).
</li>
<li>
Experience operating cloud infrastructure (preferably AWS), including IAM, VPCs, and secure configuration management.
</li>
<li>
Proficiency with infrastructure-as-code tools such as Terraform.
</li>
<li>
Familiarity with secrets management (e.g., Vault), CI/CD hardening, and runtime/container security practices.
</li>
<li>
Strong problem-solving and debugging skills in distributed systems.
</li>
<li>
Excellent communication skills and experience collaborating with cross-functional teams. 
</li>
</ul>
We Prefer If You Have
<ul>
<li>
Experience building or maturing security infrastructure in a fast-paced or regulated environment.
</li>
<li>
Understanding of compliance requirements in fintech (e.g., SOC 2, PCI) and how to build guardrails that support them.
</li>
<li>
A track record of building internal tools or reusable platform abstractions adopted by multiple teams.
</li>
</ul>
What We Offer
<ul>
<li>
Salary Range: $235k - $300k
</li>
<li>
Equity grant
</li>
<li>
Medical, dental &amp; vision insurance
</li>
<li>
Unlimited PTO &amp; work from home flexibility
</li>
<li>
Commuter benefits
</li>
<li>
Free lunches
</li>
<li>
Paid parental leave
</li>
<li>
401(k)
</li>
<li>
Employee assistance program
</li>
</ul>
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Staff Software Engineer, Security Infrastructure

<h3>Job Description</h3>
Job Description
At Pylon, we’re a small team building a very ambitious product in the mortgage space.
At this early stage, we’re looking for engineers who can see the opportunity of what we’re building towards and want to have a hand in building it.
We're in search of people who find difficult problems invigorating and who fit well into a high-performing team built on mutual respect and reliance. If you like pushing yourself to learn a massive amount while shipping code that has a huge impact on the end product, Pylon Engineering could be a great place for you.
About you
You:
<ul>
<li>
Have strong opinions that you’re willing to defend. We have a culture of vigorous discussion and debate on technical decisions. We’ll push you to defend your choices, and we want you to push back.
</li>
<li>
Don't settle. Challenge yourself to frequently and consistently deliver exceptional code. If something could be better, take the initiative to improve it.
</li>
<li>
Have great ideas, and lots of them. You should see opportunities all around you to make the code, product and infrastructure better. We’ll give you an environment where you can act on those ideas.
</li>
<li>
Are self-motivated. You can take a goal and drive towards it without needing extensive hand-holding. The team is supportive and loves to share knowledge and advice, but there’s no time for micromanaging your work.
</li>
<li>
Are comfortable with ambiguity. There's a million ways to do things; you should feel at ease making a decision under uncertainty while balancing competing constraints.
</li>
<li>
Are confident you can learn quickly. Mortgage is complex, our platform is complex, good software engineering is complex. You’ve got to have an attitude that you can absorb it, get on top of it, and build something better than what came before.
</li>
<li>
Love strong typing. We're a team full of people who love Haskell and Rust (and Idris!) and take pride in pushing Typescript to its limits.
</li>
</ul>
About the TeamWhat we’re not:
<ul>
<li>
Building a CRUD app:
<ul>
<li>
We’re building a platform that’s only possible due to deep technology investments and thinking hard from first principles. Cargo-culting what’s come before won’t be sufficient.
</li>
<li>
If you’re looking to do mostly plumbing / lego piece assembling, Pylon may be very frustrating for you
</li>
</ul>
</li>
<li>
A ChatGPT wrapper:
<ul>
<li>
Mortgage is a sprawling mess of problems, and there isn't one tool that solves every one of them. We use LLMs, but we've reached for tools in multiple disciplines like mixed-integer linear optimization and programming language research.
</li>
</ul>
</li>
<li>
An easy job:
<ul>
<li>
We’re building a lot of things from the ground up for the first time. Working at Pylon is like a research project where you have to ship to intelligent, opinionated customers regularly.
</li>
<li>
It’s basically guaranteed you’ll be handed a task that is too difficult for you to do. You might fail sometimes. You might have no idea where to start. Our team leans heavily on each other, but there’s no getting around the difficulties.
</li>
</ul>
</li>
</ul>
What we are:
<ul>
<li>
A small team:
<ul>
<li>
We don’t have an army of engineers. If you find something is broken, you are probably the best one to fix it
</li>
<li>
All the code we write has to punch above its weight in maintainability and toil reduction
</li>
<li>
If you have a good idea, you have much more ability to put it into action than at a large company
</li>
<li>
We need generalists: specialization is for big companies that already have everything figured out. If you’re smart, flexible and like getting into everything, we want you.
</li>
</ul>
</li>
<li>
Working in a regulated space:
<ul>
<li>
Mortgage is regulated both federally and at the state level.
</li>
<li>
We move fast, but breaking things isn’t an option.
</li>
</ul>
</li>
</ul>
About the JobBasics
<ul>
<li>
Job title: Software Engineer
</li>
<li>
Stock options: own a piece of the company and we all win together
</li>
<li>
Health insurance, 401K, dental, etc.
</li>
</ul>
Our technology stack:
We don’t require that you’ve worked with any of these technologies before, this is just our stack for your information:
<ul>
<li>
Typescript front and backend
</li>
<li>
Web components
</li>
<li>
GraphQL
</li>
<li>
PostgreSQL
</li>
<li>
NestJS web framework
</li>
<li>
Nx build system
</li>
<li>
Sagittarius
</li>
<li>
AWS stack using CDK for declarative infrastructure
<ul>
<li>
We currently use ECS rather than Kubernetes. If you have questions about this choice and want to know more, please apply!
</li>
</ul>
</li>
<li>
General philosophy: monolith until it hurts. If we can do something without introducing a new service, we will
</li>
</ul>
About Pylon
The $13 trillion mortgage industry at the core of the American economy runs on broken assembly lines with human-powered workflows, stitched-together software, and a series of capital markets intermediates. The costs to originate are at an all time high despite foundational shifts in technology.
Pylon is rewiring mortgages from the ground up. We are building the only API-first, programmatic infrastructure that fully automates credit, compliance, capital, and operations. For the first time, originators can build and scale mortgage businesses entirely through software, not people. Our team comes from Stripe, Better, and Affirm, and we are backed by Conversion Capital, QED, Citi, Fifth Wall, Peter Thiel, and the founders of Ramp, Mercury, Blend, and others.

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