
Artificial Intelligence • Transport • Automotive
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.
February 22
🇺🇸 United States – Remote
💵 $150k - $250k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
GRPC
Kubernetes
Microservices
Node.js
Numpy
Python
PyTorch
Terraform

Artificial Intelligence • Transport • Automotive
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.
• Build out our core product offerings which enable customers to use our world-class foundation models and vision-based generative AI technology to achieve their production goals. • Develop machine learning tools to enable internal engineers and external customers to train, validate, and deploy neural networks at scale. • Deploy cloud infrastructure and build distributed data-processing pipelines with a heavy emphasis on scale, reliability, and cost. • Redesign our internal data platform to organize and serve petabytes of data. • Work on a variety of tech stacks including our backend (Python, NumPy, PyTorch, Protobuf, gRPC), frontend (NodeJS, Vite), and cloud infra (GCP, Terraform, Docker, Kubernetes). • Collaborate closely with cross-functional teams including data science, product, and operations.
• Proven experience building and scaling cloud-based infrastructure and services, particularly in machine learning or data-heavy environments. • Knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), and technologies like Kubernetes, Docker, and microservices architecture. • Solid background in machine learning concepts, e.g. model training and validation. • Strong sense of ownership and ability to collaborate with others in an agile development environment and high-performing team. • Ability to manage ambiguity and thrive in a fast-paced, evolving environment where priorities shift rapidly. • Previous experience working on a platform team or building software for engineers / highly technical users is a plus!
• 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
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