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
πΊπΈ United States β Remote
π΅ $150k - $250k / year
β° Full Time
π Senior
π§βπ» Full-stack Engineer
π¦ H1B Visa Sponsor
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
GRPC
Kubernetes
Microservices
Node.js
Numpy
Python
PyTorch
Terraform
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.
β’ 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. β’ Develop machine learning tools to enable internal engineers and external customers to train, validate, and deploy neural networks at scale. β’ Deploy cloud infrastructure and build distributed data-processing pipelines with a heavy emphasis on scale, reliability, and cost. β’ Redesign our internal data platform to organize and serve petabytes of data. β’ 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). β’ Collaborate closely with cross-functional teams including data science, product, and operations.
β’ Proven experience building and scaling cloud-based infrastructure and services, particularly in machine learning or data-heavy environments. β’ Knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), and technologies like Kubernetes, Docker, and microservices architecture. β’ Solid background in machine learning concepts, e.g. model training and validation. β’ Strong sense of ownership and ability to collaborate with others in an agile development environment and high-performing team. β’ Ability to manage ambiguity and thrive in a fast-paced, evolving environment where priorities shift rapidly. β’ Previous experience working on a platform team or building software for engineers / highly technical users is a plus!
β’ Competitive health insurance options β’ 401K plan management β’ Remote-friendly and flexible team culture β’ Free lunch and fully-stocked kitchen in our South Bay office β’ Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale β’ The opportunity to work on one of the most interesting, impactful problems of the decade
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