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<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.
<ul>
<li>
Company type: Publicly traded
</li>
<li>
Industry: AI/ML, Cloud Computing, Infrastructure-as-Code
</li>
<li>
Candidate Location: Remote U.S.
</li>
</ul>
Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.
The Opportunity
We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers.
What You'll Do
<ul>
<li>
Architect and optimize distributed training and inference systems for large-scale AI models
</li>
<li>
Design and deliver customer-focused solutions that maximize performance and business value
</li>
<li>
Lead the transition of ML pipelines from POC to scalable production systems
</li>
<li>
Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
</li>
<li>
Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
</li>
<li>
Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
</li>
<li>
Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps
</li>
</ul>
What You Bring
<ul>
<li>
5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
</li>
<li>
Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
</li>
<li>
Demonstrated success delivering ML products, scaling from POC to production
</li>
<li>
Deep knowledge of ML frameworks like PyTorch and JAX
</li>
<li>
Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
</li>
<li>
Exceptional communication skills to engage both technical teams and business stakeholders
</li>
<li>
Legal authorization to work in the United States on a full-time basis without sponsorship
</li>
</ul>
Preferred Technical Skills
<ul>
<li>
Programming Languages: Python, Go, Java, C++
</li>
<li>
Infrastructure as Code (IaC): Terraform, Ansible
</li>
<li>
Orchestration: Kubernetes (K8s), Slurm
</li>
<li>
DevOps Tools: Git, Docker, Helm
</li>
<li>
Big Data Frameworks: Spark, Kafka, Hadoop
</li>
<li>
Databases: SQL, NoSQL, and vector databases
</li>
<li>
ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation: $180,000 - $300,000 per year (negotiable based on experience and location)
</li>
<li>
Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
</li>
<li>
401(k) plan with a 4% match program
</li>
<li>
Stock options plan
</li>
<li>
Flexible remote work environment
</li>
<li>
Company-paid short-term, long-term disability, and life insurance coverage
</li>
<li>
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
<li>
Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings
</li>
</ul>
Interviewing Process
<ul>
<li>
Level 1 - Interview with Talent Acquisition&nbsp;
</li>
<li>
Level 2 - Interview with the Hiring Manager
</li>
<li>
Level 3 - Technical Assessment
</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: $225K - $275K

Senior AI/ML Specialist Solutions Architect (AI Infra & Cloud)

<h3>Job Description</h3>
Job DescriptionSalary: 
ElPreventa Tcnico Senior es responsable de liderar el diseo, dimensionamiento y presentacin de soluciones tecnolgicas complejas, alineando las necesidades de los clientes con las capacidades tcnicas de la organizacin. Su funcin combina visin tcnica, habilidades comerciales y capacidad de comunicacin ejecutiva, apoyando a los equipos de ventas y delivery en la elaboracin de propuestas de alto impacto orientadas a transformacin digital, nube, modernizacin de aplicaciones y seguridad.
 
Responsabilidades Principales
 
1. Consultora y Diseo de Soluciones
<ul>
<li>Levantar requerimientos tcnicos y funcionales con clientes y stakeholders.</li>
<li>Disear arquitecturas de referencia sobre Microsoft Azure y AWS, aplicando principios de cloud-native, DevOps, y microservicios.</li>
<li>Elaborar documentos de diseo tcnico, diagramas de arquitectura, y roadmaps de migracin o modernizacin.</li>
<li>Recomendar frameworks, lenguajes, patrones de diseo y metodologas de desarrollo acordes al contexto del cliente.</li>
</ul>
 
2. Apoyo a Ventas y Propuestas
<ul>
<li>Preparar presentaciones tcnicas, demos, y sesiones de discovery junto al equipo comercial.</li>
<li>Desarrollar propuestas tcnico-econmicas que detallen alcance, beneficios, riesgos, costos y SLA.</li>
<li>Participar en RFPs, RFIs y workshops con reas de tecnologa, seguridad y negocio del cliente.</li>
<li>Identificar oportunidades de cross-selling y up-selling de servicios cloud, desarrollo y soporte.</li>
</ul>
 
3. Buenas Prcticas y Gobierno Tcnico
<ul>
<li>Promover estndares de arquitectura segura, observabilidad, CI/CD y automatizacin.</li>
<li>Aplicar buenas prcticas de ingeniera de software (SOLID, Clean Architecture, IaC, API-first).</li>
<li>Alinear las soluciones con las polticas de ciberseguridad, cumplimiento y privacidad (ISO 27001, GDPR, Ley 155-17, etc.).</li>
<li>Participar en revisiones de cdigo, diseo y calidad tcnica durante fases de preventa o PoC.</li>
</ul>
 
4. Innovacin y Capacitacin
<ul>
<li>Mantenerse actualizado en tendencias de IA, automatizacin, contenedores, serverless, y seguridad cloud.</li>
<li>Contribuir con contenido tcnico interno: playbooks, whitepapers y kits de propuesta.</li>
<li>Mentorizar a ingenieros y consultores junior del rea comercial y tcnica.</li>
</ul>
 
Requisitos del Cargo
 
Formacin Acadmica: 
<ul>
<li>Ingeniero en Sistemas, Ciencias de la Computacin, Electrnica o reas afines.</li>
<li>Deseable Maestra o especializacin en Arquitectura de Software, Cloud Computing o Ciberseguridad.</li>
</ul>
 
Experiencia: 
<ul>
<li>Mnimo 5 a 8 aos de experiencia en desarrollo y arquitectura de software.</li>
<li>Al menos 3 aos de experiencia comprobada en preventa tcnica o consultora de soluciones cloud.</li>
<li>Experiencia en presentaciones tcnicas y workshops con clientes empresariales.</li>
</ul>
 
Conocimientos Tcnicos Avanzados: 
<ul>
<li>Cloud Platforms: Microsoft Azure (App Services, AKS, Functions, DevOps, AD/Entra ID, Key Vault, Monitor) y AWS (ECS, Lambda, RDS, S3, IAM, CloudFormation).</li>
<li>Ingeniera de Software: .NET, Node.js, Python, CI/CD, API Management, patrones de integracin.</li>
<li>Seguridad y Cumplimiento: Azure Security Center, Defender for Cloud, AWS Security Hub, MFA, IAM, RBAC, DLP, Compliance.</li>
<li>Office 365 / Microsoft 365: Integraciones con Azure AD, Exchange Online, SharePoint, Power Platform.</li>
<li>Metodologas giles: Scrum, Kanban, DevOps, SAFE, con dominio de herramientas como Azure DevOps, Jira o GitHub Enterprise.</li>
<li>Infraestructura como Cdigo: Terraform, ARM/Bicep, CloudFormation, Ansible.</li>
<li>Conocimientos Deseables: Arquitectura Zero Trust, FinOps, automatizacin con IA (OpenAI, Cognitive Services).</li>
</ul>
 
Competencias Clave 
<ul>
<li>Comunicacin efectiva con pblicos tcnicos y no tcnicos.</li>
<li>Orientacin a resultados y pensamiento analtico.</li>
<li>Alta capacidad de documentacin tcnica y storytelling comercial.</li>
<li>Liderazgo colaborativo y autogestin.</li>
<li>Capacidad para trabajar bajo presin en contextos de RFP o cierres comerciales.</li>
</ul>
 
Certificaciones Valoradas 
<ul>
<li>Microsoft Certified: Azure Solutions Architect Expert / Azure DevOps Expert.</li>
<li>AWS Certified Solutions Architect Professional o Associate. </li>
<li>Certified Scrum Master (CSM) o SAFe Agilist. </li>
<li>Microsoft 365 Certified: Security Administrator o Enterprise Administrator Expert. </li>
<li>ISO 27001 Lead Implementer / CompTIA Security+.</li>
</ul>

Preventa Tcnico Senior Cloud & Software Engineering

<h3>Job Description</h3>
Job DescriptionSeeking Senior SAP BTP Engineers to design, develop, deploy and integrate cloud enterprise solutions using a combination of SAP technologies and other platforms. Additionally, this role will be working with business analysts and stakeholders to capture requirements and collaborate with developers to design sustainable and scalable business solutions, as well as, 
<ul>
<li>Leveraging PI/PO for processing all cloud APIs and that platform being replaced with BTP </li>
<li>Performing platform migration and configuration </li>
<li>Designing and developing the data model using the CDS, deploying and integrating to HANA DB</li>
</ul>
 RequirementsSkills Required/Preferred Years Candidate Experience MUST HAVE a minimum 10 years of experience working for American Companies in the US. Required 10 MUST HAVE 4+ years (Out of the last 7 years / since 2018) of recent experience working in a commercial ‘Bank or Large Brokerage’ environment. Required 4 Must have a SAP BTP Development Certification. Required Must have 5 years of solid experience with SAP BTP, its capabilities, services, and architecture. This includes understanding the different services available, such as Cloud Foundry, API Management, SAP Integration Suite, etc. Required 5 Must have 5 years’ experience with modern SAP BTP cloud service technology solutions. Required 5 Must have 5 years delivering SAP custom solutions for on-premise and cloud scenarios. Required 5 Must have 5 years of solid experience with cloud computing concepts and principles. Required 5 Must have 6 years’ experience with Groovy, Java and/or JavaScript programming languages. Required 6 Must have at least 6-8 years of experience with SAP middleware area including 3-4 years in SAP Integration Suite. Required Must have experience with integration technologies like OData, REST, and SOAP is essential for connecting systems and automating workflow. Required Must have Strong communication and problem-solving skills. Required Benefits
Benefit Package includes: 
<ul>
<li>
Paid Sick Time 
</li>
</ul>
<ul>
<li>
Insurance for Medical, Dental, Vision and Life Available 
</li>
</ul>
<ul>
<li>
401(k) including Employer Match 
</li>
</ul>
<ul>
<li>
HSA, Short-term &amp; Long-term Disability Available 
</li>
</ul>
<ul>
<li>
We are an EEO/Veterans/Disabled employer 
</li>
</ul>

Senior SAP BTP Engineers

<h3>Job Description</h3>
Job Description
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. 
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 
Our interview process involves several technical interviews and we aim to complete them within 1 week. 
What You'll Do
<ul>
<li>Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements</li>
<li>Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability</li>
<li>Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients</li>
<li>Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Proven experience in backend development: TS/Node (required)</li>
<li>Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers</li>
<li>Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact</li>
<li>Preferred: Experience with Docker and containerized deployments</li>
<li>Preferred: Proficiency in deploying high availability applications on Kubernetes</li>
</ul>
What We Offer 
<ul>
<li>A dynamic environment where your contributions shape the company and its products</li>
<li>A team that values innovation, intuition, and drive</li>
<li>Autonomy, fostering focus and creativity</li>
<li>The opportunity to have a significant impact in a revolutionary industry</li>
<li>Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture</li>
<li>The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more</li>
<li>An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain</li>
</ul>
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you're a good fit for this job? 
Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit? 
Refer them! 
Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Software Engineer, Platform - Elizabeth, USA

<h3>Job Description</h3>
Job Description
Mission
Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth.
Overview
We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.
What You'll Do
<ul>
<li>Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK</li>
<li>Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms</li>
<li>Ship cloud functions, lightweight backend services, and jobs using Kotlin</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.</li>
<li>Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time</li>
<li>Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down</li>
<li>Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs</li>
<li>Preferred Tech Stack:
<ul>
<li>Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) </li>
<li>Prior experience with GCP is a plus</li>
</ul>
</li>
</ul>
What We Offer 
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you're a good fit for this job? 
Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit? 
Refer them! 
Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Senior Software Engineer, Core Experiences - Edison, USA

<h3>Job Description</h3>
Job Description
Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.
We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.
Our Products
Captions
Mirage Studio
Our Technology
AI Research @ Mirage
Mirage Model Announcement
Seeing Voices (white-paper)
Press Coverage
TechCrunch
Lenny’s Podcast
Forbes AI 50
Fast Company
Our Investors
We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) 
We do not work with third-party recruiting agencies, please do not contact us** 
About the Role
As an expert in making AI models run fast—really fast—you live at the intersection of CUDA, PyTorch, and generative models, and get excited by the idea of squeezing every last bit of performance out of modern GPUs. You will have the opportunity to turn our cutting-edge video generation research into scalable, production-grade systems. From designing custom CUDA or Triton kernels to profiling distributed inference pipelines, you'll work across the full stack to make sure our models train and serve at peak performance.
Key Responsibilities
<ul>
<li>
Optimize model training and inference pipelines, including data loading, preprocessing, checkpointing, and deployment, for throughput, latency, and memory efficiency on NVIDIA GPUs
</li>
<li>
Design, implement, and benchmark custom CUDA and Triton kernels for performance-critical operations
</li>
<li>
Integrate low-level optimizations into PyTorch-based codebases, including custom ops, low-precision formats, and TorchInductor passes
</li>
<li>
Profile and debug the entire stack—from kernel launches to multi-GPU I/O paths—using Nsight, nvprof, PyTorch Profiler, and custom tools
</li>
<li>
Work closely with colleagues to co-design model architectures and data pipelines that are hardware-friendly and maintain state-of-the-art quality
</li>
<li>
Stay on the cutting edge of GPU and compiler tech (e.g., Hopper features, CUDA Graphs, Triton, FlashAttention, and more) and evaluate their impact
</li>
<li>
Collaborate with infrastructure and backend experts to improve cluster orchestration, scaling strategies, and observability for large experiments
</li>
<li>
Provide clear, data-driven insights and trade-offs between performance, quality, and cost
</li>
<li>
Contribute to a culture of fast iteration, thoughtful profiling, and performance-centric design
</li>
</ul>
Required Qualifications
<ul>
<li>
Bachelor's degree in Computer Science, Electrical/Computer Engineering, or equivalent practical experience
</li>
<li>
3+ years of hands-on experience writing and optimizing CUDA kernels for production ML workloads
</li>
<li>
Deep understanding of GPU architecture: memory hierarchies, warp scheduling, tensor cores, register pressure, and occupancy tuning
</li>
<li>
Strong Python skills and familiarity with PyTorch internals, TorchScript, and distributed data-parallel training
</li>
<li>
Proven track record profiling and accelerating large-scale training and inference jobs (e.g., mixed precision, kernel fusion, custom collectives)
</li>
<li>
Comfort working in Linux environments with modern CI/CD, containerization, and cluster managers such as Kubernetes
</li>
</ul>
Preferred Qualifications
<ul>
<li>
Advanced degree (MS/PhD) in Computer Science, Electrical/Computer Engineering, or related field
</li>
<li>
Experience with multi-modal AI systems, particularly video generation or computer vision models
</li>
<li>
Familiarity with distributed training frameworks (DeepSpeed, FairScale, Megatron) and model parallelism techniques
</li>
<li>
Knowledge of compiler optimization techniques and experience with MLIR, XLA, or similar frameworks
</li>
<li>
Experience with cloud infrastructure (AWS, GCP, Azure) and GPU cluster management
</li>
<li>
Ability to translate research goals into performant code, balancing numerical fidelity with hardware constraints
</li>
<li>
Strong communication skills and experience mentoring junior engineers
</li>
</ul>
Benefits:
<ul>
<li>
Comprehensive medical, dental, and vision plans
</li>
<li>
401K with employer match
</li>
<li>
Commuter Benefits
</li>
<li>
Catered lunch multiple days per week
</li>
<li>
Dinner stipend every night if you're working late and want a bite! 
</li>
<li>
Grubhub subscription
</li>
<li>
Health &amp; Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)
</li>
<li>
Multiple team offsites per year with team events every month
</li>
<li>
Generous PTO policy
</li>
</ul>
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please note benefits apply to full time employees only.
Compensation Range: $215K - $300K

Member of Technical Staff, GPU Optimization

<h3>Job Description</h3>
Job Description
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. 
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 
Our interview process involves several technical interviews and we aim to complete them within 1 week. 
What You'll Do
<ul>
<li>Opportunity to lead key engineering and product decisions</li>
<li>Actively shipping production code for the Speechify iOS app</li>
<li>Work within a dedicated product team</li>
<li>Participate in product discussions to shape the product roadmap</li>
<li>Maintain and enhance the existing complex app architecture</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Experience. You've worked on products that scaled to a large user base</li>
<li>Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product</li>
<li>Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience</li>
<li>Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction</li>
<li>Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time</li>
<li>Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down</li>
<li>Technical skills. Swift, SwiftUI</li>
</ul>
Technical Requirements:
<ul>
<li>Swift Programming Language</li>
<li>SwiftUI experience</li>
<li>Experience in Multithreading Programming</li>
<li>Working with CI/CD infrastructure</li>
<li>Experience with Fastlane</li>
<li>SOLID principles, the ability to write every single class according to SOLID</li>
<li>Experience with Git and understanding of different Git strategies</li>
</ul>
What We offer:
<ul>
<li>A fast-growing environment where you can help shape the company and product</li>
<li>An entrepreneurial crew that supports risk, intuition, and hustle</li>
<li>The opportunity to make a big impact in a transformative industry</li>
<li>A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture</li>
<li>Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives</li>
<li>Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world</li>
<li>Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio</li>
</ul>
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you're a good fit for this job? 
Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit? 
Refer them! 
Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Software Engineer, iOS Core Product - Jersey City, USA

<h3>Job Description</h3>
Job DescriptionWe are looking for a skilled Network Engineer to join our team in Little Ferry, New Jersey. In this long-term contract position, you will play a vital role in maintaining, optimizing, and securing network infrastructure to ensure seamless connectivity and performance. This is an excellent opportunity for an experienced individual to contribute to a dynamic and collaborative environment. Responsibilities: • Configure, maintain, and troubleshoot Cisco routers to ensure reliable network operations. • Manage and optimize Palo Alto firewalls to enhance network security. • Administer and maintain Cisco ASA devices for secure and efficient network connectivity. • Implement and manage Border Gateway Protocol (BGP) configurations for stable and scalable routing. • Monitor and address network performance issues to ensure maximum uptime and efficiency. • Collaborate with cross-functional teams to design and implement network solutions. • Perform regular network audits and updates to maintain compliance with security standards. • Provide technical support and guidance to resolve complex networking issues. • Document network configurations, processes, and changes to ensure accurate records. • Stay updated with industry trends and emerging technologies to recommend improvements.• Proven experience with Cisco routers and networking equipment. • Expertise in configuring and managing Palo Alto firewalls. • Hands-on knowledge of Cisco ASA devices and their functionalities. • Strong understanding of Border Gateway Protocol (BGP) and its application in network environments. • Solid experience in Cisco networking, including troubleshooting and maintenance. • Ability to identify and resolve network performance issues efficiently. • Excellent problem-solving and communication skills. • Familiarity with network security best practices and compliance standards.

Network Engineer

<h3>Job Description</h3>
Job DescriptionHybrid/Manhattan-NYC Salary Range: $22/hr -$24/hr Your Success Is Our Success One of the largest community banks in the NYC area, Apple Bank has been committed to providing customer focused community banking and targeted commercial and mortgage lending for over 160 years. Along the way, our employees have been the key to our success. Our exciting summer internship experience provides collaborative hands-on learning that will sharpen your professional skills. The 10-week paid program focuses on enabling your development through work experience, formal learning, self-knowledge and mentorship. As part of the summer internship program, you could be placed on one of the following teams based on business need and previous experience: •Digital Applications •Technology Services &amp; Engineering •IT Systems and Technical Support What to expect The internship program runs for 10 weeks, from Monday, June 1, 2026, through Thursday, August 6, 2026. An in-person first week in NYC, where you will participate in onboarding, training and team building. A hybrid working model: 3 days a week in the office and 2 days a week remote/virtual. Dedicated leaders steering you through meaningful work in your assigned department. A team project, focused on a real business concern, presented to Senior Leadership. Individual development opportunities. Coaching and Mentoring.
ESSENTIAL DUTIES AND RESPONSIBILITIES
If you are highly motivated and results-oriented, this Apple Bank Internship program is a great step forward in your career. Extensive work experience is not a requirement. &nbsp;Dedication to learning and a true passion for the banking industry are vital.
We will also be looking for the following:
<ul>
<li>
Ability to work both independently as well as on a team.
</li>
<li>
Organizational skills, a high degree of self-motivation, initiative, and leadership potential.
</li>
<li>
Ability to prepare deliverables for meetings while exhibiting professionalism, maturity, and insight throughout interactions.
</li>
<li>
Strong communication, interpersonal, and relationship-building skills.
</li>
<li>
Innovative and creative problem-solving ability.
</li>
<li>
Intellectual curiosity, cooperation and focus in achieving group and client objectives.
</li>
</ul>
SKILLS AND EDUCATION
<ul>
<li>
You are currently enrolled in a related Bachelor’s degree program as a rising Senior, with an expected graduation date December 2026 - May 2027.
</li>
<li>
You have obtained a preferred GPA of 3.0 or above.
</li>
<li>
You have experience using MS Word, Access, Excel, and PowerPoint.
</li>
<li>
You are currently authorized to work in the&nbsp;United States with no restrictions; please note that we are unable to sponsor visas for this position.
</li>
</ul>
Visa sponsorship not available.
We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, military and/or veteran status, or any other Federal or State legally-protected classes.

2026 Summer Intern- Information Technology

<h3>Job Description</h3>
Job DescriptionWe are looking for a dedicated Help Desk Analyst to join our team on a long-term contract basis. This role is based in New York, New York, and offers an exciting opportunity to provide technical support and assistance to end users. The ideal candidate will excel in troubleshooting and resolving technical issues, ensuring smooth daily operations. Responsibilities: • Provide end-user support by addressing technical issues and resolving service desk tickets efficiently. • Troubleshoot and resolve problems related to Microsoft Windows 10 and other operating systems. • Manage and maintain Active Directory accounts, including password resets and user access. • Assist with basic troubleshooting of hardware, software, and network connectivity issues. • Configure and support multi-factor authentication systems such as Cisco Duo. • Document and track all support requests to ensure timely resolution and follow-up. • Collaborate with team members to identify recurring issues and implement solutions. • Deliver exceptional customer service while communicating technical solutions clearly to non-technical users. • Ensure all support activities comply with established company policies and procedures.• Proficiency in Active Directory management and user support. • Strong knowledge of Microsoft Windows 10 operating system. • Experience with basic troubleshooting of hardware, software, and network issues. • Familiarity with service desk ticketing systems and processes. • Knowledge of multi-factor authentication tools, such as Cisco Duo. • Excellent communication skills, with the ability to explain technical concepts to non-technical users. • Strong organizational skills and attention to detail. • Ability to work independently and collaboratively in a team environment.

6,184 Technology Jobs in New York, NY 10007, USA