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We are looking for a Senior Engineer in our CLAMS (calibration, localization, and mapping) team. You will be working on implementing SOTA methods in state estimation, online calibration, optimizing, and deploying Aeva’s 4D FMCW LiDAR algorithms to production and push autonomous driving performance.
Job Responsibility:
Contribute to Aeva’s 4D state estimation and calibration stack that will be deployed in production
Ability to quickly prototype novel algorithms, implement them and iterate fast
Ensure code is optimized for performance and scalability
Adhere to coding standards and best practices to ensure consistency and quality in all code
Take ownership of assigned tasks and ensure timely and accurate completion with documentation and tests
Requirements:
MS or PhD in a relevant program such as Robotics, Computer Science, Electrical Engineering, or similar
Highly skilled in C++ development with 5+ years experience with the Linux environment
2+ years of experience with extrinsic calibration methods (online or offline)
Experience with techniques such as Kalman Filtering, Bayesian Methods, and Sensor Fusion (with LiDAR/IMU/GNSS)
Strong fundamentals of linear algebra and 3D geometry
Demonstrated ability to create and deploy real-time state estimation or SLAM systems
Experience with 3D data / representations (point clouds, meshes, etc.) and algorithms
Skilled in scripting languages such as Python and Bash
Nice to have:
Knowledge of working principles for RADARs or LiDARs
Experience with robotics or autonomous vehicle software frameworks such as ROS/ROS2 or similar
Experience with modern build systems such as Bazel or similar
What we offer:
Very competitive compensation and meaningful stock grants
Exceptional benefits: Medical, Dental, Vision, and more
Unlimited PTO
401k plan
Life and disability benefits
Flexible time off
Paid parental leave
11 paid holidays annually
Pre-tax commuter and health care/dependent care accounts
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