Senior/Staff Software Engineer - Distributed Systems
Job Description
Job DescriptionOur Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping, our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and this is therefore foundational in enabling results from many other teams across Zoox.
This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox deliver on its goals to deliver autonomous mobility.In this role, you will:
- Design and develop large distributed mapping systems that process sensor data across hundreds of compute nodes
- Architect scalable data pipelines and orchestration frameworks to improve system throughput and reliability
- Identify and resolve performance bottlenecks in distributed workloads, optimizing for latency and resource utilization
- Lead technical design reviews and mentor engineers on best practices for distributed systems
- Collaborate with cross-functional teams to define system requirements and technical roadmaps
- Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation
Qualifications
- Bachelors or higher in Computer Science or related field
- 6+ years of industry experience working on distributed systems
- Fluency in C++ and Python
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience with AWS services (S3, EC2, Lambda, SQS, DynamoDB)
Bonus Qualifications
- Experience with geographic data and 3D meshes
- Experience with relational databases
- Background in robotics, autonomous systems, or geospatial data processing
- Experience with software profiling and performance tuning
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.