ML Perception - Technical Lead

About Applied Intuition

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. Learn more at appliedintuition.com.

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.)

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

The salary range for this position is $199,295 USD to $264,500 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.