Senior Systems & Safety Engineer – AI/ML

The role

You will bridge the gap between deep learning algorithms and safety engineering. You will define functional safety and SOTIF strategies, design AI safety monitors, and construct safety cases for machine learning models on Level 4 autonomous vehicles.

What you will do

• Lead implementation of ISO 21448 (SOTIF) and UL 4600 frameworks across 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.
• Establish criteria for training and validation dataset completeness, ODD coverage, class imbalance, and data fidelity.
• Conduct systematic HAZOP, STPA, and SOTIF risk analyses targeting deep learning failure modes.
• Author structured safety case arguments demonstrating acceptable residual risk for AI components.

Required qualifications

• M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field.
• 6+ years in systems/safety engineering or autonomous systems.
• 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.
• Strong understanding of sensor modalities (LiDAR, Radar, Cameras, IMUs) and their failure modes in adverse weather/environmental conditions.

Nice to have

• Track record of taking a machine-learning-based L4 autonomous vehicle system to driverless commercial deployment.
• Direct experience with data generation/curation tools, active learning, and automated edge-case extraction pipelines.

About the company

Gatik is a leader in autonomous middle-mile logistics providing autonomous transportation-as-a-service. The company focuses on short-haul, B2B logistics for Fortune 500 retailers using proprietary Level 4 autonomous technology.