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Helm Operations Jobs (NOW HIRING)

Staff Software Engineer

$150K - $250K/yr

Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is ... Work closely with cross-functional teams, including data science, product, and operations, to ...

... Steward + Helm's established standards. This includes ensuring safety, appearance, and operational efficiency in compliance with applicable laws and company policies. The role requires strong ...

Experience HELM as a unique family business and an attractive employer. Through a constant exchange ... This allows us to work proactively and think long-term - in operations, quality management, process ...

Business Operations Intern

Plymouth, MI · On-site

$14.50 - $19/hr

Join Helm's Fall 2025 Internship Class! No experience necessary -- we will train you! Title: Business Operations Intern Location: Plymouth, MI (Hybrid: 2 days remote, 3 days in-office) Travel ...

Devops | Ex Apple

Sunnyvale, CA · On-site

$61.50 - $84.25/hr

Responsibilities : • automating DevOps process. • Able to code the deployment using helm, Kustomize • Proficient in writing module using Terraform Qualifications : Required : • Docker ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

DevOps Engineer

Chicago, IL · On-site

$54.50 - $74.50/hr

DevOps Engineer | Remote | 90 Day Contract-to-Hire If you live in Kubernetes, know your way around ... Deploy and manage containerized applications on AKS using Helm charts and FluxCD for GitOps ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

Principal DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and ...

Azure DevOps Engineer

Alpharetta, GA · On-site

$51.50 - $70.50/hr

Solid experience with Kubernetes/AKS, Helm, and container orchestration Required Skills & Experience: * 10+ years in DevOps/Release Engineering including technical lead capacity * Strong hands-on ...

Showing results 41-60

Helm Operations information

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How much do helm operations jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for helm operations in the United States is $24.20, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $27.40 per hour, depending on experience, location, and employer.

What cities are hiring for Helm Operations jobs?

Cities with the most Helm Operations job openings:

Infographic showing various Helm Operations job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $50,344 per year, or $24.2 per hour.

Staff Software Engineer

Remote

Helm.ai
Software Development • 11 - 50 employees

$150K - $250K/yr

Full-time

Medical, Retirement

Re-posted 19 days ago


Job description

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 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.
You will:
  • Lead and Build: Architect and design scalable, reliable, and efficient ML infrastructure and services, enabling the company to handle large scale training, massive datasets, and a growing number of customers with diverse needs.
  • Scale Systems: Ensure the ML platform is capable of handling large-scale data processing and machine learning model development at a global scale.
  • Agility & Cost Efficiency: Optimize platform implementation for flexibility and cost-effectiveness while maintaining agility in development, enabling quick adaptation to evolving requirements.
  • User-Centric Design: Build systems that are convenient, reliable, and easy to use for both internal teams (data scientists, engineers) and external customers.
  • End-to-End Ownership: Take full ownership of the platform's lifecycle, from inception through design and implementation to deployment and monitoring.
  • Collaboration: Work closely with cross-functional teams, including data science, product, and operations, to ensure seamless integration of ML capabilities into business-critical services.
  • Innovation: Keep up with the latest industry trends and incorporate cutting-edge technologies into our platform to maintain a competitive edge.
  • Problem-Solving: Tackle complex technical challenges head-on, from infrastructure optimization to providing solutions for data processing, storage, and access at scale.
  • Mentorship: Lead and mentor engineers, fostering a culture of excellence and high-performance within the engineering team.

You have:
  • Proven experience in building and scaling cloud-based infrastructure and services, particularly in machine learning or data-heavy environments.
  • Expert knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), and technologies like Kubernetes, Docker, and microservices architecture.
  • Deep experience with building large scale services, and the challenges that come with performance, reliability, and cost at scale.
  • Demonstrated ability to design and implement cost-effective solutions while balancing performance, security, and scalability.
  • Solid background in machine learning concepts, e.g., model training and validation.
  • Strong leadership and collaboration skills, with experience working in an agile development environment and mentoring high-performing teams.
  • Ability to manage ambiguity and thrive in a fast-paced, evolving environment where priorities shift rapidly.
  • Passionate problem solver with a focus on building practical, reliable, and efficient systems that can scale in real-world, production environments.

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.