Senior Staff Software Engineer - Perception & Sensing

At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research to impact key systems to move Zoox forward.

Responsibilities

• Lead the Sensor Change Playbook workflow, defining the validation process for our next-generation, low-cost vehicle platforms.
• Partner with  PCP V&V to define the Autonomy Technical Specification (ATS) by identifying "bounding" (worst-case) scenarios, particularly those related to winter driving (e.g., heavy snow, ice, sensor occlusion).
• Work with PCP model owners to architect low-cost stacks that reduce reliance on expensive sensors and accommodate reduced compute (e.g., migrating from 8 GPUs to 1 Thor).
• Drive the Clearance MoC (Method of Compliance) process for hardware changes, balancing cost, compute constraints, performance and safety.

Qualifications

• Deep expertise in the PCP Stack , multi-modality fusion, and optimizing architectures for severely constrained compute budgets. 
• Experience in V&V (Validation & Verification) for safety-critical systems, specifically expanding into complex Operational Design Domains (ODDs) like winter weather.
• Proven ability to influence cross-functional stakeholders (SDMA, AHE, PCP) to align on cost vs. performance trade-offs.
• The ability or experience of managing or curating datasets for sensor validation or model training

Bonus Qualifications

• Experience with Autonomy Technical Specifications (ATS) and defining winter/adverse weather bounding scenarios.
• Experience working with VLM’s.

$324,000 - $389,000 a year

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 Zoox

Zoox 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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.