Senior/Staff Systems Engineer, Autonomy Verification
Develops and verifies requirements, metrics, and test strategies for autonomous vehicle safety within operational design domain. Requires 3+ years in AV/robotic systems validation, Python/C++ coding, and deep understanding of autonomy stack.
About the job
About the Work
- Create requirements for an autonomous system, ensuring safe operation within its ODD and compliance with the rules of the road.
- Design generalizable metrics and acceptance criteria to verify that the autonomous system satisfies these requirements, leveraging safety standards and methodologies.
- Propose and leverage diverse test strategies - synthetic and log simulation, on-road logs, closed-course testing, third-party accident reconstructions - to verify requirements.
- Collaborate closely with Behavior, Perception, Data Science, Product, Legal, and Public Trust teams to develop acceptance criteria for metrics and tests.
- Partner with simulation infrastructure and test integration teams to set up automated verification workflows.
- Quantify coverage of the tests for our ODD, ensuring simulation realism and relevance for deployment. Link the results from the tests as evidence to support the Autonomy Safety Case.
About You
- 5+ years of technical work experience in a relevant area with 3+ years of experience with development or validation of autonomous vehicles/robotic systems.
- Experience creating behavior requirements for SAE L2, L3, or L4 autonomous systems or other robotic systems to operate safely within its ODD.
- Experience with simulation and real-world testing of autonomous systems.
- Strong understanding of the autonomy architecture - how sensing, localization, perception, prediction, behavior, and control modules interact.
- Hands-on software experience, with the ability to code in Python or C++.
- Highly collaborative in nature, with strong abilities to think and communicate analytically and effectively.
Bonus Points
- Background in autonomous vehicles ideally with L4 AV deployment.
- Prior experience building computational models for driving behavior or ML based metrics for behavior evaluation.
- Familiarity with safety standards and methodologies like STPA, ISO-21448, ISO 8800.
- Experience developing a safety case or compiling evidence supporting a safety case in a structured manner.
Compensation
Base pay range: $176,400 - $319,720. Eligible for annual performance bonus, equity, and competitive benefits package.
Skills
Python, C++, Autonomous Systems, Simulation, Sae L4, Stpa, Iso-21448, Safety Case, Autonomy Architecture, Verification
Similar jobs
QA Engineering jobs
Second Nature
United States
Staff Quality Assurance Engineer who will build and own organization-wide automated testing strategy, frameworks, observability, and AI-assisted workflows. The role requires deep quality engineering experience across testing layers, strong AWS and Node.js/TypeScript skills, and the ability to coach teams toward measurable quality ownership.
Domino
United States
Own and evolve a scale and reliability platform, diagnosing distributed-system performance issues, improving observability, and automating cloud-based testing. The role requires staff-level infrastructure or SRE experience, strong Python skills, Kubernetes expertise, and hands-on performance troubleshooting.
Illumio
Sunnyvale, CA
The Staff Engineer will own automated testing, performance validation, and quality engineering for a multi-cloud micro-segmentation platform. The role requires extensive automation experience with distributed SaaS systems, cloud networking, CI/CD, and resilient large-scale testing.
Shield AI
Seattle, WA
Leads quality strategy and process improvement across aerospace product design, NPI, and production. Requires 5+ years in quality, manufacturing, or process engineering, with expertise in AS9100, RCA/CAPA, statistical process control, and cross-functional influence.
OpenAI
San Francisco, CA
Leads manufacturing, supplier, and site quality programs for datacenter infrastructure, from vendor qualification through deployment. Requires 10+ years of quality, supplier, process improvement, or datacenter operations experience and a bachelor’s degree or equivalent experience.