Helm.ai is building the next generation of AI technology for ADAS, autonomous driving, and robotics automation.
Staff Software Engineer
Location
United States
Posted
4 days ago
Salary
$150K - $250K / year
Seniority
Lead
Job Description
Staff Software Engineer
Helm.ai
• 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.
Job Requirements
- 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.
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
- 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
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