Full-Time

Senior Software Engineer

Updated on 3/13/2025

Helm.ai

Helm.ai

51-200 employees

AI training for autonomous driving technology

Compensation Overview

$150k - $250kAnnually

+ Equity + Bonus + Commission

Senior

Remote in USA

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
gRPC
Kubernetes
Microsoft Azure
Python
Node.js
Pytorch
Machine Learning
Docker
Microservices
AWS
Terraform
NumPy
Data Analysis
Google Cloud Platform
Requirements
  • 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.
Responsibilities
  • 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.
Desired Qualifications
  • Previous experience working on a platform team or building software for engineers / highly technical users is a plus!

Helm.ai focuses on developing AI technology for autonomous driving, utilizing a method called unsupervised learning. This approach allows the AI to learn from unlabelled data, making it more cost-effective and efficient compared to traditional methods that rely on large amounts of labeled data. Helm.ai licenses its technology to various industries, primarily targeting manufacturers of autonomous vehicles, but also extending to sectors like aviation, robotics, and retail. This licensing model positions Helm.ai as a significant player in the growing autonomous vehicle market. The company has recently secured $13 million in funding to enhance its technology and expand its client base.

Company Size

51-200

Company Stage

Series C

Total Funding

$131.3M

Headquarters

Menlo Park, California

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Recent $55M funding boosts development of path prediction and simulation technologies.
  • Partnership with Ambarella expands market reach for ADAS products globally.
  • VidGen-2 model offers improved resolution and realism for autonomous driving videos.

What critics are saying

  • Competition from Waymo and Tesla pressures Helm.ai to innovate and cut costs.
  • Proprietary OS development by automakers like Honda may limit Helm.ai's market access.
  • Regulatory restrictions on AI-generated content could impact Helm.ai's generative AI models.

What makes Helm.ai unique

  • Helm.ai uses unsupervised learning, reducing the need for large-scale data annotation.
  • Their software is sensor and compute agnostic, appealing to diverse automotive clients.
  • Helm.ai's generative AI models enhance video data, improving autonomous driving system training.

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Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

5%
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