Helm.ai

👥 11-50💰 $55,000,000 Series C over 1 year agoAutomotiveArtificial Intelligence (AI)Machine LearningAutonomous VehiclesSoftware💼 Private Company
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Helm.ai is revolutionizing autonomous vehicle development with its groundbreaking Deep Teaching™ AI software. We develop data-efficient solutions for driver assistance systems and autonomous driving, eliminating the need for massive datasets, costly simulations, and manual annotation. Our unsupervised learning approach allows for faster development cycles and lower costs, making our technology accessible to a wider range of clients, including some of the world's leading automotive manufacturers. Our competitive edge stems from our unique AI-first approach, which bypasses traditional limitations. We are building a comprehensive ML-centric autonomous vehicle stack for urban environments, showcasing cutting-edge advancements in vehicle control systems and perception models. We foster a collaborative environment where engineers are empowered to contribute across the autonomous driving pipeline, directly influencing the future of the industry. Our tech stack incorporates a diverse range of technologies, including but not limited to: Content Delivery Networks, Google Tag Manager, and various other cloud and mobile development tools. We are a remote-friendly company committed to a flexible and supportive work environment. Our culture emphasizes innovation, collaboration, and a shared vision of making autonomous technology safer and more accessible. Helm.ai has secured over $155 million in funding from prominent investors like Honda, Goodyear Ventures, and Mando, fueling our ambitious growth trajectory. We're a rapidly growing team of 11-50 passionate individuals working to integrate our software into hundreds of millions of vehicles worldwide. We offer competitive compensation, benefits, and a truly unique opportunity to make a significant impact on the future of transportation.

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🔥 Controls Engineer, AV
Posted 4 months ago

📍 US

🔍 Autonomous driving and robotics

  • 4+ years of hands-on experience developing vehicle control systems in the autonomous vehicle or ADAS industry.
  • Demonstrated expertise implementing real-time optimal control strategies (MPC or iLQR) for vehicle trajectory tracking, with proven on-vehicle implementation experience.
  • Experience addressing real-world controls challenges, including sensor noise, system latencies, and state estimation uncertainty.
  • Track record of developing and validating vehicle dynamics models through system identification and data-driven approaches.
  • Strong theoretical foundation in control theory, optimization, and vehicle dynamics, with practical application experience.
  • Partner with perception and planning teams to architect, build, and test an AI-first autonomous driving platform for urban environments.
  • Design and implement robust vehicle control systems for trajectory tracking and execution, with a focus on real-time performance and reliability.
  • Develop and validate vehicle dynamics models through system identification and data analysis, driving continuous improvement in control system performance.
  • Create and execute comprehensive validation strategies across simulation and real-world testing environments.

Data Analysis

Posted 4 months ago
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