Research Engineer - AI/RL Infrastructure

Applied Intuition, Inc. is powering the future of physical AI. digital infrastructure needed to bring intelligence to every moving machine on Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. headquartered in Sunnyvale, California, with offices in Washington, D.We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. recognize the importance of flexibility and trust our employees to manage their This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier We are looking for a passionate Research Engineer (AI/RL Infrastructure) to join the Research Group at Applied Intuition. design, build, and operate state-of-the-art, large-scale ML systems and enjoy working closely with researchers to develop and accelerate the core platform powering next-generation physical AI systems.

The mission of the Research Group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and institutions and companies, recognized for their exceptional academic and com/research.

of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous to your research contributions, you will contribute to and learn from best customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

Design and build training and evaluation infrastructure to support our current AI research directions, orchestrating massive GPU clusters to process PBs of multimodal sensor data * systems to measure model performance across diverse, long-tail real-world Develop large-scale data sampling, dataset generation, and advanced data curation pipelines, leveraging state-of-the-art AI models to power a closed-loop data flywheel * Enable high-throughput distributed training across heterogeneous cloud Collaborate closely with AI research, autonomy, and platform teams to translate cutting-edge research into production-ready systems

Experience building and operating production-grade software systems across the full machine learning lifecycle, including training, evaluation, data, and deployment * Opinions about building a company-wide platform for ML training, evaluation, and deployment * Experience with performance engineering and compute acceleration for large-scale ML training, including profiling, bottleneck analysis, and large-scale distributed training, spanning model code, data pipelines, Deep familiarity with the open-source ML and systems ecosystem, with judgment on when to adopt open source versus build in-house * Industry experience on relevant topics (self-driving application preferred)

equity, and benefits. compensation package, which may also include 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, Applied Intuition pay ranges reflect the minimum and maximum intended target attainment, skill level requirements, interview performance, and the level and Please reference the job posting’s subtitle for where this position will be For pay transparency purposes, the base salary range for this full-time Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. status as protected veterans or individuals with disabilities, and prohibit require that covered prime contractors and subcontractors take affirmative protected veteran status or disability.