Robotics Software Engineer

InnoForge; Hawthorne (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Relocation support

Competitive salary

Job summary

InnoForge in Hawthorne, CA is seeking a Senior Robotics Software Engineer to own localization and state estimation for a planetary surface vehicle. This on-site role combines advanced algorithms with real hardware testing, requiring hands-on development on real robots.

You will fuse IMU, camera, LiDAR, wheel odometry data, develop GPS-denied methods, and integrate with planning and autonomy. Strong C++ and Python skills are essential; space robotics background is a plus.

Qualifications

• Experience with EKFs, factor graphs, INS, visual odometry or LiDAR odometry.
• Ability to move between mathematical analysis, software implementation and field testing.
• Experience with outdoor robots or autonomous vehicles is relevant.

Responsibilities

• Own localization and state-estimation architecture for the vehicle.
• Fuse data from IMUs, cameras, LiDAR, wheel odometry and other navigation sensors.
• Develop GPS-denied localization approaches and test on hardware.
• Test software on real vehicles and in simulation.
• Integrate localization with planning, autonomy and hazard-avoidance systems.
• Deploy algorithms onto robots and participate in outdoor vehicle testing.

Skills

Localization

State estimation

Sensor fusion

C++

Python

SLAM/odometry

GPS-denied localization

Job description

Senior Robotics Software Engineer - Localization

Hawthorne | On-site | Competitive salary, equity and relocation support

An early-stage space robotics company is hiring a Senior Robotics Software Engineer to own localization and state estimation for a planetary surface vehicle.

The challenge is straightforward to describe but difficult to solve: enable a mobile robot to understand its position reliably in an outdoor, unstructured environment without depending on GPS or prepared infrastructure.

This position combines advanced robotics algorithms with practical engineering on real hardware. The successful engineer will choose the technical approach, implement it, deploy it to the vehicle, test it in realistic terrain, evaluate its limitations and iterate quickly.

The role

• Own the vehicle’s localization and state-estimation architecture.
• Fuse data from IMUs, cameras, LiDAR, wheel odometry and other navigation sensors.
• Develop and evaluate GPS-denied localization approaches.
• Test software on real robotic vehicles and in simulation.
• Measure accuracy, identify failure modes and improve robustness.
• Integrate localization with planning, autonomy and hazard-avoidance systems.
• Participate directly in outdoor vehicle testing.
• Deployment of algorithms onto real robots or autonomous vehicles.
• Strong C++ and/or Python.
• Experience with techniques such as EKFs, factor graphs, INS, visual odometry or LiDAR odometry.
• Ability to move between mathematical analysis, software implementation and field testing.

Experience with outdoor robots, drones, autonomous vehicles, defence autonomy or natural-terrain navigation is particularly relevant.

Previous space experience is useful but not required.

This role will not suit someone whose experience is entirely academic or simulation-based. The company needs an engineer who enjoys getting software working reliably on real hardware.