Our Software Engineers play a key role in making the vehicle of the future a reality by developing technologies that deliver a turnkey, fully autonomous driving system for our customers and enable Mobility on Demand (MoD). As we expand our global footprint, we are looking for exceptional software engineering talent to apply real-time applications (RTAs) to our products.
Do you enjoy field testing and prototyping? Do you have a knack for enabling Linux systems on embedded platforms? If the answers are yes, we’re looking for you.
How You’ll Make a Difference
- Tackle the challenge of autonomous driving by developing a software stack that interfaces with all components of an autonomous vehicle & simulates vehicle operation across a variety of traffic, weather, and lighting conditions.
- Implement, validate, & refine models of the sensors used by autonomous vehicles
- Develop a framework for creating & scripting scenarios that will test vehicle performance
- Compare simulation results to logged driving data to validate & refine the simulation stack
- Collaborate with a larger autonomous driving engineering team, gaining exposure to a variety of engineering disciplines & projects
- Show initiative & become a valued team member in our innovative, fast-paced, entrepreneurial environment where cooperative teamwork is the norm
- Build new concepts & groundbreaking solutions that shape the future of mobility
What You’ll Bring
- BS in Computer Science or other STEM field
- Experience developing software in game engine environments
- Experience with software management repositories & best practices
- Comfortable with multiple languages: C++, C#, python, bash
- Comfortable with TCP/IP & UDP networking protocols
- Demonstrated interest in autonomous technologies
- Demonstrated interest in modeling & simulation
- Masters or PhD in Computer Science or other STEM Field preferred
- Creation & manipulation of virtual worlds preferred
- Creation & manipulation of detailed maps preferred
- Simulation of radar, Lidar, GPS, & camera sensors preferred
- Computer vision tools & object detection algorithms preferred
