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.
You have:- 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.
We offer:- 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
