Helm. ai is an innovative technology company providing full-stack artificial intelligence solutions for autonomous driving systems, ranging from Advanced Driver Assistance Systems (ADAS) to Level 4 autonomous driving. The company develops AI-based simulation and validation tools, such as Gensim-1 and Vidgen-2, to aid in the creation and testing of autonomous vehicles. Helm. ai offers production-grade perception software utilizing deep neural networks for path prediction and human-like driving maneuvers. Their technology aims to reduce development costs and accelerate market readiness for automakers, with solutions adaptable to various geographies and driving conditions.
November 12, 2024
Helm. ai is an innovative technology company providing full-stack artificial intelligence solutions for autonomous driving systems, ranging from Advanced Driver Assistance Systems (ADAS) to Level 4 autonomous driving. The company develops AI-based simulation and validation tools, such as Gensim-1 and Vidgen-2, to aid in the creation and testing of autonomous vehicles. Helm. ai offers production-grade perception software utilizing deep neural networks for path prediction and human-like driving maneuvers. Their technology aims to reduce development costs and accelerate market readiness for automakers, with solutions adaptable to various geographies and driving conditions.
• Join a pioneering team that's redefining autonomous vehicle development through the power of unsupervised learning. • You will be at the center of our autonomous driving initiative—spearheading vehicle control systems. • Collaborate closely with our perception and planning teams to create a cohesive, state-of-the-art AV stack. • Opportunity to influence and contribute across the entire autonomous driving pipeline.
• 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
• 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
Apply NowNovember 12, 2024
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