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Helm.ai

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About

Helm.ai provides full-stack AI and AI-based simulation solutions for ADAS through L4 autonomous driving development and validation. Their offerings include production-grade perception software, deep neural network-based intent and path prediction, generative AI for video editing and data creation (GenSim-2, Vidgen-2), and a multi-sensor generative AI foundation model (WorldGen-1). The company leverages Deep Teaching™, a highly efficient form of unsupervised learning, to train its DNN foundation models. These models adapt to new geographies and driving conditions, improving the reliability and scalability of autonomous driving software. Helm.ai partners with global automakers and Tier 1 suppliers for mass production deployment. The company's mission is to build the most reliable and scalable AI system for any vehicle, reducing R&D costs and accelerating time to commercialization.

Platform
Web
Keywords
aiautonomous drivingadasl4
Task
autonomous driving

Features

deep teaching™ unsupervised learning methodology

ai-based simulation tools for autonomous vehicle development and validation

generative ai for video editing and data augmentation

intent and path prediction using deep neural networks

perception software for single cameras, surround views, and multi-sensor systems

full-stack ai for volume production deployment

Job Opportunities

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Helm.ai

Research Engineer

Helm.ai offers full-stack AI and AI-based simulation for autonomous driving, from perception to path prediction, leveraging Deep Teaching™ for efficient and scalable solutions.

engineeringhybridUSRedwood City, US
$150,000 - $250,000
full-time

Benefits:

  • 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

Education Requirements:

  • Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field

Experience Requirements:

  • 5+ years of experience in a related field

Other Requirements:

  • Experience working with neural networks, Tensorflow and/or PyTorch

  • Fluency in Python and working knowledge of C/C++ programming

  • Strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry

Responsibilities:

  • Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale

  • Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole

  • Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

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Controls Engineer, AV

Helm.ai offers full-stack AI and AI-based simulation for autonomous driving, from perception to path prediction, leveraging Deep Teaching™ for efficient and scalable solutions.

Benefits:

  • 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

Experience Requirements:

  • 4+ years of hands-on experience developing vehicle control systems in the autonomous vehicle or ADAS industry

Other Requirements:

  • 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

Responsibilities:

  • 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

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Autonomous Vehicle Operator

Helm.ai offers full-stack AI and AI-based simulation for autonomous driving, from perception to path prediction, leveraging Deep Teaching™ for efficient and scalable solutions.

operationsonsiteRedwood City, US
$36.00 per hour - $39.00 per hour
contract

Experience Requirements:

  • 5+ years of safe and professional driving experience

Other Requirements:

  • Familiarity with Linux; ideally you have experience working with PCs

  • Basic understanding of electro-mechanics is highly preferred; basic understanding of wiring systems

  • Strong problem-solving, analytical, organizational and verbal/written communication skills

  • Self-motivated, goal oriented and able to work in a fast paced environment

  • Ability and willingness to travel

  • Valid driver’s license and a clean driving record with no gaps in drivers license for 5 years

  • Must currently reside in the San Francisco Bay Area

  • Ability to pass a drug screen

  • Able to work evenings and/or weekends when necessary

  • CDL is a plus

Responsibilities:

  • Be available and comfortable to drive 80% of working hours (25% of this will be driving at night).

  • Navigate urban areas as well as highway driving.

  • Support test activities including vehicle preparation, driving the autonomous vehicle, tear-down and data collection.

  • Perform support and testing while monitoring and validating data.

  • Conduct hardware troubleshooting for electro-mechanical functions.

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