Job Description
Join Future Mobility Systems Inc. at the forefront of transportation innovation. As a key player in the autonomous vehicle revolution, you'll design and implement next-generation safety systems that will redefine mobility by 2026. Our mission is to create zero-emission, accident-free transportation solutions for urban environments. You'll collaborate with cutting-edge AI engineers, hardware specialists, and urban planners in our state-of-the-art San Francisco lab.
We offer competitive compensation, equity packages, comprehensive benefits, and the opportunity to shape the future of transportation. Your work will directly impact millions of lives and set new global standards for vehicle safety and sustainability.
Responsibilities
- Design and validate fail-safe mechanisms for autonomous driving systems using advanced simulation environments
- Develop real-time safety monitoring algorithms for edge-case scenarios in complex urban environments
- Lead cross-functional teams in implementing ISO 26262 ASIL-D compliant safety architectures
- Conduct rigorous hardware-in-loop (HIL) testing and virtual validation of safety-critical components
- Collaborate with regulatory bodies to shape future autonomous vehicle safety standards
- Create predictive safety models using machine learning to identify and mitigate emerging risks
- Document safety cases and failure mode analyses for certification processes
Qualifications
- Bachelor's or Master's degree in Robotics, Computer Engineering, or related field
- 5+ years of experience in automotive safety systems or autonomous vehicle development
- Expertise in ISO 26262 functional safety standards and AUTOSAR architecture
- Proficiency in Python, C++, and simulation tools like CARLA or NVIDIA DriveSim
- Strong background in sensor fusion (LiDAR, radar, camera) and perception algorithms
- Experience with hardware-in-loop testing and virtual validation platforms
- Proven ability to lead complex technical projects in agile development environments
- Knowledge of cybersecurity frameworks for connected vehicles