Motional
Transport • Artificial Intelligence • Automotive
Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.
Data and ML Infrastructure Architect
Job not on LinkedIn
May 5
🇺🇸 United States – Remote
💵 $205k - $282k / year
⏰ Full Time
🟠 Senior
🔴 Lead
👷 Infrastructure Engineer
🦅 H1B Visa Sponsor
Motional
Transport • Artificial Intelligence • Automotive
Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.
📋 Description
• Own the architecture of Motional’s ML data infrastructure • Design and evolve infrastructure to support petabyte-scale machine learning workflows • Architect high-throughput systems for distributed training • Establish robust data governance and retention strategies • Collaborate with ML engineers and researchers • Lead technical strategy and roadmap for the team • Mentor and influence engineers across teams
🎯 Requirements
• 15+ years of meaningful software engineering experience • Proven experience leading the design of ML platforms • Deep technical fluency in distributed storage and data pipelines • Strong knowledge of Linux systems and performance-oriented languages • Experience in hybrid environments: bare metal, HPC, and public cloud • Comfortable owning cross-org initiatives • Prior work in robotics or autonomous vehicles strongly preferred
🏖️ Benefits
• Medical, dental, vision • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • And more
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