Helm.ai

Full-stack Engineer

• Architect core behavior planning: Own the logic and decision frameworks that guide the vehicle through complex maneuvers (like unprotected turns, dynamic merges, and yielding).
• Optimize trajectories: Develop robust trajectory generation systems that perfectly balance safety, passenger comfort, and vehicle progress.
• Ensure verifiable safety: Translate complex traffic rules and operational design domain (ODD) constraints into interpretable, highly safe planning behaviors.
• Solve the long-tail: Tackle exciting, real-world edge cases, from unpredictable pedestrians and occlusions to complex construction zones.
• Drive cross-functional integration: Collaborate closely to seamlessly connect your planner with perception, prediction, localization, and control modules.
• Test and validate: Prove out your solutions through rigorous scenario-based simulations, closed-course trials, and live on-road testing.
• Optimize for real-time: Deliver robust, highly deterministic performance tailored for embedded automotive hardware.

Software Engineer, Autonomous Vehicles – Motion Planning

• 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

Senior Software Engineer

Research Engineer

• Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
• Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
• Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

• Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment.
• Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack.
• Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements.
• Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning.
• Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility.

Software Engineer, Autonomous Vehicles

• 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.

Software Engineer, Autonomous Vehicles – Motion Planning

Senior Software Engineer

Research Engineer

Research Engineer

Software Engineer, Autonomous Vehicles

Staff Software Engineer