Senior Software Engineer

Helm.ai
$150,000 - $250,000Remote

About The Position

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

Requirements

  • 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.

Responsibilities

  • 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

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
  • monthly wellness stipend
  • office set up allowance
  • company retreats
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