Plus 2
Software Engineer, Simulation
Santa Clara, CA
Sponsorship not specified$120k-$150kDetected 57 days ago
AlgorithmsMachine LearningDeep Learning
About the role
- Billions of test miles are needed to ensure autonomous driving is statistically safe.
- What's more, these test miles must cover a wide variety of conditions in lighting, weather, road topologies, traffic patterns and so on.
- This software will integrate both synthetic and recorded data to predict how the autonomous vehicle will behave in scenarios and gauge real-world performance.
Responsibilities
- Design scalable ML workflows for generating AV scenarios - ranging from traffic simulations to synthetic scenario creation from a natural language specification.
- Own the development and upkeep of the simulation framework, driving its reliability and performance to unblock all technical stakeholders.
- Create and extend software for behavior, pathfinding, road networks, spatial queries, collision detection, vehicle control, vehicle dynamics, etc.
- In addition to real-life road testing, simulation is a safe, cheap, fast and rich mechanism with which engineers can develop new algorithms/models and detect regressions.
Requirements
- Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field.
- Wide range of opportunities for personal and professional development.
- Catered free lunch, unlimited snacks and beverages.
- Highly competitive salary and benefits package, including 401(k) plan.
Nice to have
- PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks.
- Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies.
Compensation
- Highly competitive salary and benefits package, including 401(k) plan.
Company info
- Collaborate directly with internal customers and partner teams to provide solutions for their test creation workflows.
This listing is sourced directly from Plus 2's careers page and normalized into a canonical job model.