Senior Software & Machine Learning Engineer - Vehicle Navigation Systems

About the Role

We are seeking a Senior Software & Machine Learning Engineer to join our team remotely. In this role, you will be instrumental in building vehicle localization and navigation systems that function effectively even when GPS fails. This position is deeply technical and hands-on, focusing on vehicle integration, sensor fusion, mapping, and machine learning-driven navigation. If you thrive in a fast-paced startup environment and enjoy experimenting with technology, this Senior Software & Machine Learning Engineer remote position is perfect for you.

What You’ll Work On

• Developing vehicle localization and navigation systems
• Implementing sensor fusion using internal vehicle data and maps
• Creating autonomous and off-road navigation systems
• Utilizing machine learning approaches for perception and localization
• Integrating with vehicle firmware and data streams
• Processing mapping, GIS, and topographical data
• Prototyping, testing, and iterating quickly to enhance system performance

Requirements

• Strong experience in C++ (systems, embedded, or robotics)
• Experience in vehicle integration, robotics, or autonomous systems
• Comfortable working close to hardware and firmware
• Strong computer science fundamentals
• Able to navigate limited documentation and ambiguity

Nice to Have

• Experience in autonomous driving or wheeled robotics
• Background in machine learning
• Knowledge of GIS, mapping, or topographical data
• Experience with particle filters or probabilistic state estimation
• Familiarity with firmware, PCB, or reverse-engineering
• Open-source contributor background

What We Offer

• Base salary between $140k and $160k
• Performance bonuses and equity options
• Unlimited PTO
• Health and dental coverage
• Relocation support available for those willing to move to Austin, TX

This Senior Software & Machine Learning Engineer remote role is ideal for builders and innovators who enjoy taking ownership of their work and experimenting with new technologies. Join us in creating cutting-edge solutions in the automotive tech space!