Software Engineer, Autonomous Vehicles

Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale.

We are looking for versatile engineers to shape core components of the next generation of the Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai ’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities.

Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment.

Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack.

Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements.

Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning.

Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility.