Join to apply for the Staff Systems Engineer, Scenario Coverage Validation role at Nuro

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck. Get AI-powered advice on this job and more exclusive features.

Who We Are Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver is one of the few driverless autonomous technologies on public roads today.

About The Role As a Staff Systems Engineer in Autonomy Validation, you will work closely with the autonomy software, operations, simulation, and data platform teams to validate the performance of various parts of the autonomy stack and support development of tools that assist with validation. You will define requirements and validation strategies for offline and online mapping, leveraging both module-level and end-to-end evaluation. You will also be responsible for defining requirements, specifications, algorithms, and user workflows for scenario coverage evaluation, supporting both in-house and external teams. You will drive software architecture, development, validation, operations, and safety cases where needed.

Responsibilities

Lead Nuro’s scenario coverage program, including specification and decomposition of the hierarchical scenario space, requirements and user stories for tooling, and development of algorithms related to defining and evaluating scenario coverage, engaging with stakeholders.

Support inferences from test datasets by developing statistical models and designing experiments.

Support the safety case by identifying, documenting, and communicating Autonomy safety claims and system requirements related to the context map.

Guide and audit scenario-based testing frameworks, apply risk analysis techniques, and interpret probabilistic test results.

Design realistic scenarios to measure residual safety risks and drive test coverage, including synthetic accident reconstructions.

Qualifications

Bachelor’s, Master’s, or Doctoral Degree in relevant fields.

At least 6 years of experience in algorithm development, data manipulation, and statistical analysis (Bayesian preferred) in Python or similar.

Experience with scenario-based testing frameworks, traffic scenario labeling, and metrics.

Experience in software development for simulation, robotics, NeRF, or GenAI.

Understanding of AV data and sensor output.

Knowledge of kinematics, rigid transformations, systems engineering, and ISO 21448.

Strong collaboration, communication, and stakeholder management skills.

Self-motivated, quick learner, and able to handle unstructured problems.

Bonus Points

Familiarity with ISO 8800 and set cover algorithms.

At Nuro, your base pay ranges from $202,350 to $303,050, depending on experience and qualifications. The total compensation package may include bonuses, equity, and benefits. We are committed to diversity and equal opportunity in the workplace.

#J-18808-Ljbffr