Senior SLAM / Localization Engineer

Evolution USA; Palo Alto (CA); On-site; USD 200,000 - 270,000; Full time

Job summary

Evolution USA in Palo Alto is seeking a Senior SLAM / Localization Engineer to advance localization, mapping, and state estimation for autonomous robots operating in complex industrial environments. You will work across SLAM, VIO, and sensor fusion using cameras, LiDAR, IMUs and other sensors, with a strong emphasis on real-world deployment.

This role rewards hands-on impact, with opportunities to shape the autonomy architecture as the team scales toward Staff/Principal levels, and includes

Qualifications

• Experience deploying SLAM in real robots or autonomous vehicles
• Proficiency in modern C++ and real-time robotics systems
• Ability to integrate multiple sensors and calibrate systems

Responsibilities

• Lead SLAM, VIO, mapping, and localization development across real robots.
• Collaborate with autonomy group to evolve architecture and deployment on vehicles.
• Translate sensor data into robust state estimates for navigation.

Skills

Strong modern C++

Visual SLAM

LiDAR SLAM

Visual-Inertial Odometry

Mapping and localization

State estimation

Sensor fusion and calibration

Real-time robotics systems

Deploying SLAM on robots/Vehicles

Tools

GTSAM

Ceres

Eigen

ROS/ROS2

Python

Job description

I'm working with a Series C robotics company building autonomous robots that operate across large commercial and industrial environments. Their robots need to navigate complex spaces alongside people, vehicles and other equipment without requiring customers to completely redesign their facilities. They're already deployed commercially and are now scaling both the number of robots in the field and the complexity of the environments they can operate in. A big part of that challenge is localization.

They're therefore looking for a Senior SLAM / Localization Engineer to work across SLAM, VIO, mapping, localization, state estimation and sensor fusion using cameras, LiDAR, IMUs and other sensors. The important thing is that you've actually deployed this stuff. They're less interested in someone who's only worked on SLAM in a research environment. It's a good stage to join. They've removed a lot of the early startup risk, but the autonomy architecture is still evolving and you'll be able to influence it. If things continue in the direction they're heading, there's a pretty obvious route towards Staff/Principal responsibility as the autonomy group grows.

They're particularly interested in experience with:

Key Experience

• Strong modern C++
• Visual and/or LiDAR SLAM
• Visual-Inertial Odometry
• Mapping and localization
• State estimation
• Sensor fusion and calibration
• Real-time robotics systems
• Deploying SLAM onto physical robots or autonomous vehicles

Optional Experience

• Useful but not essential: GTSAM Ceres Eigen ROS / ROS2 Multi-sensor calibration Fleet-scale autonomy experience Python

$200k–$270k base + equity + benefits + relocation available (US only)