3 hours ago
Base Salary
$160k - $260k/yr
Responsibilities
- Design and scale automated software-in-the-loop testing pipelines for daily regression testing and production release gates.
- Generate high-fidelity synthetic scenarios covering urban and suburban routes, edge cases, adverse weather, and severe traffic interactions using OpenSCENARIO and ASAM standards.
- Extract disengagements and other events from fleet logs and transform them into parametric simulation test suites.
- Verify perception, planning, controls, and map-execution software against safety metrics and behavioral assertions.
- Assess simulator realism, sensor physics models, and vehicle-dynamics fidelity against real-world data.
- Develop Grafana, SQL, and Python dashboards tracking pass rates, safety violations, and coverage across simulation runs.
Requirements
- B.S. or M.S. in Computer Science, Software Engineering, Robotics, or Data Science.
- At least 5 years of experience in SIL testing, virtual simulation validation, or automated software QA for autonomous vehicles or complex robotics.
- Exceptional proficiency in C++ and Python.
- Deep experience with Linux, Docker, Kubernetes, and cloud compute clusters on AWS or GCP.
- Strong working knowledge of simulation tools and experience with continuous integration pipelines.
- Preferred: experience validating autonomous planning and control algorithms for middle-mile or commercial vehicles.
- Preferred: background in dynamic scene generation, procedural generation, or synthetic data validation.
- Preferred: proficiency in statistical safety verification and coverage-based testing methodologies.
Benefits
- Onsite five days per week at the Santa Clara, California office.
- Opportunity to work on Level 4 autonomous trucking, large-scale simulation, and driverless-release safety validation.
Tech Stack
Categories
About Gatik AI
Gatik is in the business of autonomous freight. We run driverless delivery networks across North America for some of the world’s largest retailers and consumer brands.