Senior/Staff Systems Architect at Zoox

Foster City, California, United States

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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

Systems Architecture

CPU Profiling

GPU Profiling

Memory Profiling

Bandwidth Analysis

Power Efficiency

Networking

Edge Computing

Cloud Computing

Embedded Systems

Fail-Operational Design

Fault Tolerance

Simulation

Real-Time Data Analysis

Data-Driven Decision Making

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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