State Estimation and Calibration Engineer
US$181,500 – US$245,500 / yr base salary
Posted 13 Nov 2025
Advertised as “Senior State Estimation and Calibration Engineer - Mountain View, CA”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$181,500 – US$245,500 / yr |
|---|
Field of studyComputer Science, Electrical Engineering, Robotics (or related)
Study levelMaster's or higher
About us: Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. Role Overview: 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.
What you will do:
- 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
What you have:
- Have a 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’s in it for you:
- Be part of a fast-paced and dynamic team
- Very competitive compensation and meaningful stock grants
- Exceptional benefits: Medical, Dental, Vision, and more