Senior Software Engineer, Test Infrastructure

Zoox builds and operates a fleet of purpose-built robotaxis, and every vehicle must prove its build integrity before it can carry riders. The HWSI team builds the platform that authors, schedules, and executes Build Integrity Tests (BIT) across the manufacturing line and the fleet, and turns the results into the data that engineers and operators rely on every day.

Strong production Python , including hands-on experience building distributed task/queue systems (e.g., Celery or equivalent) with a message broker and result backend (Redis / RabbitMQ) - task lifecycles, retries, cancellation, and worker reliability.

Demonstrated ability to design and maintain test frameworks for large codebases ( deep pytest experience : fixtures, parametrization, scalable suites), and to design REST and library/framework APIs that other engineers build on.

• Solid software-engineering and distributed-systems fundamentals - systematic debugging across services, networking (HTTP, TCP/IP, container networking), CI/CD pipelines, Docker, and relational databases (PostgreSQL).

• Experience as a technical lead or architect - owning a system end to end, setting direction, and reviewing/mentoring other engineers' work.

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Experience with Bazel (or another large-monorepo build system with hermetic/reproducible builds).

• Experience deploying and operating services on AWS/Kubernetes (EKS, Helm, ArgoCD) and with observability tooling (OpenTelemetry, Grafana/Prometheus).

• Background in manufacturing, hardware, or vehicle test systems (CAN/DoIP, Automotive Ethernet, HIL) and working with cross-functional production teams.

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Own the architecture and core of our test-orchestration platform - the distributed task scheduling, execution, and result-collection engine that runs tests across manufacturing and the fleet - and you'll personally build its most complex, reliability-critical components.

Lead a small engineering team of two engineers plus 1–3 contractors: setting technical direction, reviewing code, and growing the team's impact.

Make the platform resilient at scale - design for safe mid-run cancellation, no result loss under failure, and predictable behavior across hundreds of test runs as the line moves toward high production rate.

• Build clean APIs and frameworks that let other teams plug their own test suites into the platform without forking it, multiplying the team's reach across Manufacturing, Systems Integration, and Fleet operations.

• Partner across the company - with multiple teams to ship test tooling that production and validation campaigns depend on.