About the Role
Design and implement core components of perception systems that enable self-driving vehicles to interpret and navigate real-world environments using sensor inputs such as lidar, radar, and camera data.
Responsibilities
- Develop algorithms for detecting and tracking objects in dynamic environments
- Improve accuracy and reliability of sensor fusion pipelines
- Optimize perception models for real-time performance on embedded hardware
- Analyze and resolve edge cases in complex urban and highway scenarios
- Collaborate with software and systems teams to integrate perception outputs
- Enhance robustness of object classification and motion prediction
- Work with large-scale real-world driving datasets
- Design testing frameworks for perception system validation
- Support deployment of models in production-level autonomous systems
- Troubleshoot issues in perception performance during simulation and field tests
- Refine data labeling pipelines to improve training set quality
- Implement safety-critical logic for decision-making inputs
- Evaluate new sensor technologies and their integration into existing stacks
- Contribute to architectural decisions for scalable perception systems
- Ensure compliance with functional safety and performance standards
- Mentor junior engineers in best practices and technical execution
- Participate in code reviews and system design discussions
- Monitor system behavior in live operations and suggest improvements
- Support rapid iteration cycles in a fast-moving development environment
- Integrate machine learning models into real-time inference pipelines
- Collaborate with research teams to transition prototypes into production
- Maintain high standards for code quality and system documentation
- Work closely with simulation teams to validate perception under diverse conditions
- Drive improvements in localization and environmental modeling
- Contribute to end-to-end testing of perception in closed-loop systems
Compensation
Competitive salary and equity offered based on experience and qualifications.
Work Arrangement
Hybrid work model with flexibility to work remotely and in-office as needed.
Team
Collaborative team of experts in autonomy, machine learning, and robotics focused on solving complex challenges in transportation.
What We Look For
- Candidates who combine technical depth with practical problem-solving to advance autonomous vehicle perception
- Individuals who thrive in ambiguity and can drive solutions from concept to deployment
Why This Role Matters
- Perception is central to safe and reliable operation of self-driving systems
- Your work directly impacts how vehicles interpret and respond to their surroundings
Visa sponsorship available for qualified candidates requiring work authorization.
