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Overview
Lead / Manager

ML Perception - Technical Lead

Confirmed live in the last 24 hours

Applied Intuition

Applied Intuition

Compensation

$231,295 - $300,500/year

Sunnyvale, California, United States
Remote
Posted January 14, 2026

Job Description

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

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.

About the role

We are looking for a lead software engineer with expertise in ML-first perception for autonomous vehicles or mobile robots. You will be a technical lead guiding the engineering team in building out key ML capabilities of our autonomous vehicle stack for commercial trucking. You and your team will develop across all sensor modalities: camera, lidar, and radar with a strong focus on long-range object detection and tracking.

At Applied Intuition, you will:

  • Lead the design and development of advanced deep learning models for perception, with a goal of integrating perception into a fully end-to-end autonomy stack
  • Collaborate closely with Planning, Prediction, and Simulation teams to define closed-loop evaluation metrics, use real and synthetic data for model training, fine tuning and performance evaluation
  • Mentor a team of machine learning engineers, fostering a culture of innovation, safety, and deployment-readiness in the development of E2E-centric perception systems

We're looking for someone who has:

  • 5+ years of industry experience in autonomous driving, with a strong focus on perception systems 
  • Experience managing and mentoring teams of machine learning engineers or researchers
  • Proven track record of architecting scalable, modular ML pipelines and delivering production-grade perception systems in complex, dynamic environments
  • Strong programming skills in Python and/or C++, with hands-on experience using modern deep learning frameworks such as PyTorch or TensorFlow

Nice to have:

  • Familiarity with both real and synthetic data pipelines for model training, validation, and closed-loop evaluation
  • Experience working with multi-disciplinary teams across planning, prediction, and simulation domains

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total 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, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements,

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