Software Engineer, Autonomous Vehicles

Hiring Remotely in United States Entry level Remote Hiring Remotely in United States Entry level Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities. The summary above was generated by AI

We help make autonomous technologies more efficient, safer, and accessible.

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.

You will:

• 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.

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred.
• Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments.
• Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading.
• Strong command of data structures, algorithms, software architecture, and design patterns.
• Excellent problem-solving, communication, and collaboration skills, with a passion for innovation.

The following are not required but a plus:

• Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware.
• Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems.
• Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles.

• Competitive health insurance options
• 401K plan management
• Remote-friendly and flexible team culture
• Free lunch and fully-stocked kitchen in our South Bay office
• Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
• The opportunity to work on one of the most interesting, impactful problems of the decade