Senior/Staff Systems Architect

We are seeking a Senior/Staff Systems Architect with strong analytical and technical skills to drive architecture decisions for our autonomous driving platform. This role sits at the intersection of software, hardware, and systems design, with a focus on using real-world performance and service data to shape robust, scalable, and efficient solutions.

You will play a key role in profiling system performance (CPU, GPU, memory, and bandwidth), assessing operational efficiency, and identifying bottlenecks or failure risks across compute and service layers. Your insights will directly influence vehicle platform architecture, compute module design, and fail-operational strategies.

In this role, you will:

• Lead analytics-driven architectural evaluations across compute, networking, and software, guiding system partitioning between edge, in-vehicle, and cloud.
• Apply analytical tools to logs and real-time data from simulation and test environments to validate architectural changes for power efficiency and performance.
• Identify and resolve inefficiencies and scalability risks, ensuring smooth progression from prototype to large-scale deployments (hundreds to thousands of vehicles).
• Collaborate with cross-functional teams—including service owners, safety, hardware, and infrastructure—to ensure reliability, fault tolerance, and efficient operation under real-world constraints.
• Deliver clear, data-backed recommendations to stakeholders, enabling informed system design and long-term architectural planning.

Qualifications:

• 10+ years’ experience in systems architecture or system design, with a strong background in software, hardware, or embedded systems.
• Proven expertise in profiling and analyzing CPU, GPU, memory, power, and bandwidth performance.
• Skilled in data-driven architectural decision-making for compute, networking, and software components across edge, vehicle, and cloud systems.
• Experience designing and validating fail-operational, fault-tolerant systems using real-world failure and performance data.
• Ability to identify bottlenecks, inefficiencies, power optimizations, and scaling risks, and collaborate cross-functionally to optimize system reliability and efficiency.
• Strong communicator, able to translate complex technical insights into clear recommendations for both technical and non-technical audiences.

Bonus Qualifications:

• Experience in Linux environments with hands-on experience using GPU profiling and monitoring tools, including DCGM, NVTX, and Nsight.
• Experience with Databricks, Looker, and Grafana for gathering analytics and dashboarding.
• Experience with systems or SW development for an autonomous vehicle company.

$200,000 - $280,000 a year

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.