Senior/Staff Systems Engineer, Autonomy Verification

Nuro•Mountain View, CA

2d•$176,400 - $319,720

About The Position

Nuro is hiring a Senior/Staff Systems Engineer focused on Autonomy Verification. The role is responsible for verifying that the Nuro Driver is safe to deploy within its target operational design domain (ODD) and complies with the rules of the road. The engineer has end-to-end ownership of requirements definition, metric design, and test strategy development, and works collaboratively with teams across Nuro, including Autonomy Software, Simulation, Product, and Operations. The position develops requirements and acceptance criteria for autonomous-system verification, uses varied simulation and physical testing approaches, evaluates test coverage and simulation relevance, and connects test results to evidence supporting the Autonomy Safety Case.

Requirements

At least 5 years of technical work experience in a relevant area, including at least 3 years developing or validating autonomous vehicles or robotic systems.
Experience creating behavior requirements for SAE L2, L3, or L4 autonomous systems, or other robotic systems, to operate safely within their ODD.
Experience with simulation and real-world testing of autonomous systems.
Strong understanding of autonomy architecture and how sensing, localization, perception, prediction, behavior, and control modules interact.
Hands-on software experience and ability to code in Python or C++.
Highly collaborative, with strong analytical thinking and effective communication skills.

Nice To Haves

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 such as STPA, ISO 21448, and ISO 8800.
Experience developing a safety case or compiling evidence to support one in a structured manner.

Responsibilities

Create requirements for an autonomous system to ensure 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 meets requirements, leveraging safety standards and methodologies.
Propose and use diverse test strategies, including synthetic and log simulation, on-road logs, closed-course testing, and third-party accident reconstructions.
Collaborate 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 establish automated verification workflows.
Quantify test coverage for the ODD, ensure simulation realism and relevance for deployment, and link test results as evidence supporting the Autonomy Safety Case.