Sensor Fusion Engineer
About Us
BlueSpace.ai is building the next generation of self-driving technology to create safety certainty needed for truly driverless vehicles. Our patented 4D Predictive Perception enables this by calculating all objects’ motion from next-gen 4D sensors. BlueSpace.ai’s team brings experience from all over the autonomous vehicles (AV) industry, including OEMs, world class research institutions, and autonomous driving companies.
Day - to - Day
Design and implement state and parameter estimation algorithms.
Develop production level high-performance C++ code to run on the vehicle.
Analyze performance from simulation and real-world testing (on public roads and closed-course test tracks), root cause issues, identify areas for improvement.
Work with engineers on sensor and actuator selection, modeling, calibration, etc.
Work with safety and validation teams on testing, requirements, and validation
Work with existing code base to optimize reliability and performance.
Learn every day from the top computer scientists and engineers in the self driving car space.
Qualifications
Master's/Phd Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent.
Extensive experience working with various sensors, including but not limited to Lidar, radar, camera, IMU, GPS, odometer, wheel encoder, etc. Deep insights into the mechanisms of the sensors, and their strengths and limitations.
Experience with software/hardware synchronization techniques across different sensors.
Experience with intrinsic and extrinsic calibration algorithms of various heterogeneous sensor types.
Strong analytical skills in linear algebra, geometry and probability
Strong C++ / Rust / Python software development skills.
Strong team player, comfortable working in a vibrant, diverse and interdisciplinary team.
Nice to Have
Experience with autonomous vehicles.
Strong background in dynamical systems.
Familiarity with FMEAs.
Practical familiarity with closed-loop control systems.
Experience with physically realistic simulations (timing frameworks, physical modeling and validation, hardware-in-the-loop).
Experience in code optimization or high performance computing.