Job Description

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 Localization Engineer in our CLAMS (calibration, localization, and mapping) team. You will be working on implementing SOTA methods in state estimation, optimizing, and deploying Aeva’s 4D FMCW LiDAR algorithms to production and push autonomous driving performance.

What you'll do:

• Contribute to Aeva’s 4D state estimation 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'll have:

• 5+ years of experience with demonstrated ability to create and deploy real-time state estimation or SLAM systems
• Have a MS or PhD in a relevant program such as Robotics, Computer Science, Electrical Engineering, or similar
• Experience with techniques such as LIO, Kalman Filtering, Bayesian Methods, and Sensor Fusion (with LiDAR/IMU/GNSS)
• Experience with 3D data and representations (point clouds, meshes, etc.)
• Strong fundamentals of linear algebra and 3D geometry
• Highly skilled in C++ development and experience with the Linux environment
• Skilled in scripting languages such as Python and Bash

Nice to haves:

• Knowledge of working principles for RADARs or LiDARs
• Experience with online extrinsic calibration methods
• Experience with robotics or autonomous vehicle software frameworks such as ROS/ROS2 or similar
• Experience with modern build systems such as Bazel or similar
• Experience with run-time optimization techniques (e.g. parallelization, vectorization, cache-friendly development)

Salary Range

Salary pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, certifications, qualifications, relevant education or training, and market conditions. These ranges are subject to change in the future. Depending on the position offered, equity, bonus, and other forms of compensation may be provided as part of a total compensation package, in addition to comprehensive medical, dental, and vision coverage, pre-tax commuter and health care/dependent care accounts, 401k plan, life and disability benefits, flexible time off, paid parental leave, and 11 paid holidays annually.

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