
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
🚗 Transport
🤝 B2B
🔥 Funding within the last year
💰 Corporate Round - Helm.ai on 2025-10
Artificial Intelligence • Transport • B2B
Helm. ai is an AI-first autonomy software company that builds vision-only, production-ready perception and autonomy stacks and generative-simulation foundation models for ADAS through Level 4 autonomous driving. The company provides on-vehicle real-time software (Helm. ai Vision, Helm. ai Driver) and offline training/validation tools (GenSim-2, VidGen-2, WorldGen-1) trained with its Deep Teaching™ unsupervised learning and generative AI to scale training, simulation, corner-case resolution, and deployment for production-bound projects. Helm. ai partners with global automakers such as Honda and Volkswagen to deliver scalable, vision-first autonomous driving solutions.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $150k - $250k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
🚗 Transport
🤝 B2B
🔥 Funding within the last year
💰 Corporate Round - Helm.ai on 2025-10
Artificial Intelligence • Transport • B2B
Helm. ai is an AI-first autonomy software company that builds vision-only, production-ready perception and autonomy stacks and generative-simulation foundation models for ADAS through Level 4 autonomous driving. The company provides on-vehicle real-time software (Helm. ai Vision, Helm. ai Driver) and offline training/validation tools (GenSim-2, VidGen-2, WorldGen-1) trained with its Deep Teaching™ unsupervised learning and generative AI to scale training, simulation, corner-case resolution, and deployment for production-bound projects. Helm. ai partners with global automakers such as Honda and Volkswagen to deliver scalable, vision-first autonomous driving solutions.
• Work closely with research engineers to develop productionized ML workflows • Develop and iterate on platform infrastructure for training, validating, and deploying neural networks • Deploy cloud infrastructure and build distributed data-processing pipelines • Develop on an in-house multi-tenant data lake ecosystem supporting the entire lifecycle of machine learning operations • Build internal APIs to serve data, trigger workflows, enforce business logic, etc. • Build CI/CD process and other internal tools to enhance developer productivity
• Strong programming experience demonstrated via work experience, internships, or programming competition performance. • Deep knowledge of dev-ops and infrastructure processes such as infra-as-code, microservice deployment, software networking, build tool management • Previous experience in a data-heavy role, such as data infrastructure or machine learning engineer.
• 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 Now🔥 27 minutes ago
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