Safety Validation Lead, AI-Driven Autonomy

Cssmerge; San Francisco (CA); On-site; USD 170,000 - 240,000; Full time

Job summary

Atoms is building the machines that power the next era of progress. We are seeking a senior safety validation engineer to own the safety scenario catalog and the evidence strategy for automated vehicle validation.

You will work with log-derived scenarios and NCAP-based protocols, build pipelines in Python, and shape the safety argument with rigorous, traceable reasoning. You will define execution modalities, manage regression suites, and ensure coverage across both real-world and simulated data,

Qualifications

• 6+ years in safety validation for automated vehicles or safety-critical domains.
• Owned scenario-based validation and catalog development.
• Hands-on with crash-avoidance protocols and adaptation.
• Strong data skills with large log data; Python; statistics.
• Familiarity with ISO 21448 (SOTIF), ISO 34502 and SAE J3016.
• Clear written communication.

Responsibilities

• Define criteria for safety-relevant scenarios and maintain taxonomy.
• Build a log-based scenario extraction pipeline from fleet data.
• Own crash-avoidance protocol suites and their test conditions.
• Define execution methods (SIL/HIL/on-road) and maintain regression suite.
• Translate triggering conditions into scenario-based evidence for safety case.

Skills

Safety validation

Python programming

Data analysis

OpenSCENARIO

OpenDRIVE

ISO 21448

SOTIF

Simulation

Technical writing

Vehicular safety

Tools

OpenSCENARIO

OpenDRIVE

Euro NCAP protocols

SAE J3016

Job description

Atoms is building the machines that power the next era of progress. We are seeking a senior safety validation engineer to own the safety scenario catalog and the evidence strategy for automated vehicle validation.

You will work with log-derived scenarios and NCAP-based protocols, build pipelines in Python, and shape the safety argument with rigorous, traceable reasoning. You will define execution modalities, manage regression suites, and ensure coverage across both real-world and simulated data,