Helm.ai builds AI software for autonomous driving and robotics, aiming to make autonomous technologies more efficient, safer, and accessible. They are looking for versatile engineers to shape core components of their autonomous stack to integrate this software into hundreds of millions of vehicles.
Requirements
- 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.
- 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.
Responsibilities
- 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.
Other
- Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments.
- Excellent problem-solving, communication, and collaboration skills, with a passion for innovation.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred.
