Senior/Staff Systems Architect

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2 months old

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We are seeking a Senior/Staff Systems Architect with strong analytical and technical skills to gather, interpret, and present data that supports architecture decisions for our autonomous driving platform. This role sits at the intersection of software, hardware, and systems design, with a focus on collecting and analyzing real-world performance, telemetry, and service data to provide the evidence base for robust, scalable, and efficient solutions. You will analyze power and performance measurements, assess service and operational efficiency, and identify solutions to potential integration bottlenecks or failure risks, ensuring that vehicle platform architectural evolution is grounded in clear, data-backed insights.

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.
    • 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.
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