We help make autonomous technologies more efficient, safer, and accessible.

Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

We're looking for a Senior Software Engineer to join our growing team! At Helm.ai, expect a fast-paced environment where you will have significant influence over the company's business and the pace of technical innovation. We work on cutting-edge technologies, solve complex engineering challenges, and contribute directly to shaping our products and the overall direction of the company. We’re looking for people who are organized, able to think on their feet, and can find creative solutions to challenging problems.

You will:

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.

You have:

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!

The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.

We offer:

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

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.