Helm.ai
Technology
StaffSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Software Engineer at Helm.ai. Skills: ML infrastructure, Distributed systems, Cloud platforms. Architect ML infrastructure. Design ML infrastructure”
Industry & Context.
Problem solver; Tackle complex technical challenges; Root cause analysis
What They're Looking For.
Must Have
Building and scaling cloud-based infrastructure, Expert knowledge of distributed systems, Expert knowledge of cloud platforms, Expert knowledge of Kubernetes, Expert knowledge of Docker, Expert knowledge of microservices architecture, Deep experience building large scale services, Solid background in machine learning concepts, Leadership and collaboration skills, Experience working in agile development, Mentoring high-performing teams, Ability to manage ambiguity, Thrive in fast-paced environment, Passionate problem solver, Focus on building practical systems, Focus on building reliable systems, Focus on building efficient systems, Systems that scale in production
Nice to Have
AWS experience, GCP experience, Azure experience, Model training experience, Model validation experience
What You'll Do.
Architect ML infrastructure
Design ML infrastructure
Build ML infrastructure
Process large-scale data
Develop machine learning models
Optimize platform implementation
Build user-centric systems
Take ownership of platform lifecycle
Design platform lifecycle
Implement platform lifecycle
Deploy platform lifecycle
Monitor platform lifecycle
Work with cross-functional teams
Incorporate cutting-edge technologies
Tackle complex technical challenges
Optimize infrastructure
Provide solutions for data processing
Provide solutions for data storage
Provide solutions for data access
Foster culture of excellence
Foster high-performance culture
How You'll Work.
Team & Collaboration
Cross-functional teams; Data science teams; Product teams; Operations teams
Process & Methodology
Agile development
Full Job Description
We help make autonomous technologies more efficient, safer, and accessible. Helm.ai http://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 http://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 intern
Applying for this Staff Software Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Helm.ai?
Real rants from real employees. Read before you apply.