Senior/Staff Systems Architect at Zoox

Foster City, California, United States

Zoox Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, AutomotiveIndustries

Requirements

  • 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

Responsibilities

  • 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
  • Profile system performance (CPU, GPU, memory, and bandwidth), assess operational efficiency, and identify bottlenecks or failure risks across compute and service layers

Skills

Key technologies and capabilities for this role

Systems ArchitectureCPU ProfilingGPU ProfilingMemory ProfilingBandwidth AnalysisPower EfficiencyNetworkingEdge ComputingCloud ComputingEmbedded SystemsFail-Operational DesignFault ToleranceSimulationReal-Time Data AnalysisData-Driven Decision Making

Questions & Answers

Common questions about this position

What is the salary range for this Senior/Staff Systems Architect position?

The base salary range is $200,000 - $280,000 a year. Compensation also includes Amazon Restricted Stock Units (RSUs), Zoox Stock Appreciation Rights, and possibly a sign-on bonus.

Is this a remote position, or is there an office requirement?

This information is not specified in the job description.

What are the key qualifications and skills required for this role?

Candidates need 10+ years in systems architecture or design with expertise in profiling CPU, GPU, memory, power, and bandwidth. Required skills include data-driven decision-making for compute, networking, and software across edge, vehicle, and cloud, plus experience with fail-operational systems and cross-functional collaboration.

What kind of team will I be working with in this role?

You will collaborate with cross-functional teams including service owners, safety, hardware, and infrastructure to ensure reliability and efficiency.

What makes a strong candidate stand out for this position?

Strong candidates have 10+ years in systems architecture, proven expertise in performance profiling, data-driven decision-making, and fail-operational systems. Bonus points for Linux/GPU tools like DCGM and Nsight, Databricks/Looker/Grafana, or autonomous vehicle experience, plus strong communication skills.

Zoox

Develops autonomous electric ride-hailing vehicles

About Zoox

Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.

Menlo Park, CaliforniaHeadquarters
2014Year Founded
$1,206.2MTotal Funding
ACQUISITIONCompany Stage
Automotive & Transportation, Energy, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health Insurance
Maternity & Paternity Leave
Vacation & Paid Time Off
Sick Days
Free Lunch or Snacks
Employee Assitance Program

Risks

Increased competition from Waymo and Cruise may impact Zoox's market share.
Expansion into new cities introduces regulatory and operational challenges for Zoox.
Partnership with Williams Racing may divert focus from core vehicle development.

Differentiation

Zoox designs vehicles specifically for autonomous operation, unlike retrofitting existing cars.
Zoox's vehicles feature a unique, futuristic design with advanced AI systems.
Zoox offers a fully integrated ride-hailing service optimized for safety and efficiency.

Upsides

Zoox's expansion into Austin and Miami opens new markets and data collection opportunities.
Partnership with Williams Racing boosts Zoox's brand visibility in the U.S. market.
Hiring former Tesla executive Gao could accelerate Zoox's technological advancements.

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