Senior AI/ML Safety Engineer - Driverless Freight

Socket.dev; Santa Clara (CA); On-site; USD 160,000 - 220,000; Full time

Job summary

Gatik in Santa Clara, CA is seeking a Senior Systems & Safety Engineer for AI/ML to bridge deep learning and safety engineering. You will define functional safety and SOTIF strategies for learned components, establish OOD criteria, and build runtime AI safety monitors for Level 4 autonomous vehicles.

You will lead safety analyses (HAZOP, STPA, SOTIF), craft safety cases (GSN), and work with sensor domains (LiDAR, Radar, Cameras).

Qualifications

• MS/PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field.
• 6+ years in systems/safety engineering or autonomous systems, with at least 3 years explicitly focused on AI/ML safety.
• Deep working knowledge of ISO 21448 (SOTIF), ISO/PAS 8800, UL 4600, and ISO 26262

Responsibilities

• Lead the implementation of ISO 21448 (SOTIF) and UL 4600 frameworks across Gatik's AI/ML pipelines.
• Derive safety requirements and performance boundaries for neural networks and deep learning models.
• Design and validate deterministic AI safety guardrails, OOD detectors, and runtime monitoring mechanisms with fail-safe actions.
• Establish criteria for training/validation dataset completeness, ODD coverage, class imbalance, and synthetic vs. real data fidelity.
• Conduct HAZOP, STPA, and SOTIF risk analyses targeting deep learning failure modes.
• Author structured safety case arguments (GSN/Goal Structuring Notation) demonstrating residual risk is acceptable.

Skills

SOTIF safety

UL 4600

ISO 21448

ISO 26262

AV domain knowledge

Safety requirements

Education

MS/PhD in CS/Robotics

Job description

Gatik in Santa Clara, CA is seeking a Senior Systems & Safety Engineer for AI/ML to bridge deep learning and safety engineering. You will define functional safety and SOTIF strategies for learned components, establish OOD criteria, and build runtime AI safety monitors for Level 4 autonomous vehicles.

You will lead safety analyses (HAZOP, STPA, SOTIF), craft safety cases (GSN), and work with sensor domains (LiDAR, Radar, Cameras).