Research Engineer - AI Infrastructure

Applied Intuition • Mountain View, CA

74d • $153,000 - $222,000 • Remote

About The Position

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception).

Requirements

• Experience with building software components to address production, full-stack machine learning challenges
• Opinions about building a company-wide platform for ML training, evaluation, and deployment
• Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
• Excellent analytical and problem-solving skills

Responsibilities

• Design and build training and evaluation infrastructure to support current AI research directions, orchestrating massive GPU clusters to process PBs of multimodal sensor data
• Create robust benchmarking and continuous evaluation systems to track model progress across diverse, real-world driving distributions
• Develop scalable systems for large-scale data sampling, dataset creation, and advanced curation techniques leveraging state-of-the-art AI models
• Work across cloud environments to support high-throughput distributed training
• Collaborate closely with the AI research team and autonomy teams

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 1,001-5,000 employees