Software Engineer - Prediction and Behavior ML

Software Engineer - Prediction and Behavior ML

Sunnyvale, California, United States

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI‑driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self‑Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 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, Bangalore, Seoul, and Tokyo. Learn more at

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.

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Note:

For Epi Sci job openings, fully remote work will be considered by exception.)

We are looking for a software engineer with expertise in ML‑first behavior prediction and planning. You will develop ML‑first behavior modules that can forecast the future motions of road users and predict their interactions. You will work closely with the perception team on areas such as training data generation, and with the planning team on ML‑based planner development.

In addition to your engineering contributions, by working in our dynamic and customer‑focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we focus on excellence, for our products and for our business. If you are hands‑on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!

• Prototype, evaluate, refine, and deploy state‑of‑the‑art ML algorithms that predict the future motion of the ego agent and other road users in the scene
• Leverage established products at Applied Intuition to build the software and infra foundation for behavior‑specific ML development
• Collaborate tightly with perception and planning engineers on many cross‑team initiatives

• Experience with the end‑to‑end development cycle of deep learning models
• Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
• 3+ years of experience building production software using modern software practices
• Fluency in C++, or fluency in Python with intermediate experience in C++

• Peer‑reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.
• Experience with driver assistance or autonomous driving systems
• Experience in evaluating and improving system‑in‑the‑loop model performance

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…