Applied Intuition에서 로보틱스 조직을 이끌 Engineering Lead를 채용합니다. 휴머노이드 로봇 소프트웨어 아키텍처 설계 및 Python/C++ 기반의 프로덕션 코드 작성이 핵심 업무입니다. 로보틱스 분야 7년 이상의 경력과 학습 기반 제어 시스템(RL, Behavior Cloning) 실무 경험이 필수입니다. 초기 단계의 팀에서 기술 방향성을 설정하고 하드웨어 통합을 주도할 역량 있는 분을 찾습니다.
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.
This is a founding technical role helping build and shape Applied Intuition’s robotics organization from the ground up. You will set the technical direction for robotics software and AI, write production code, and build functional demos on physical hardware from day one. The role is weighted heavily toward software and learned behaviors, with the expectation that you can engage meaningfully across the hardware stack when needed.
Define and own the technical architecture for humanoid robotics software, spanning perception, planning, control, and learned behaviors
Write production-quality code in Python and C++ and ship it to physical robots — this is a hands-on individual contributor role first
Design, train, evaluate, and deploy learning-based policies for manipulation and locomotion
Build functional demonstrations on multiple robot hardware platforms that prove out capabilities and inform the product roadmap
Establish simulation infrastructure and validate behaviors in physics-based environments before deploying to hardware
Instrument robots, analyze telemetry and failure data, and iterate quickly to improve robustness in real-world conditions
Work with teleoperation and data collection pipelines to generate training data and close the sim-to-real gap
Identify and recruit the next engineers on the team
BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field, or equivalent hands-on experience
7+ years of experience in robotics software development, with a meaningful portion on physical humanoid, legged, or highly dexterous manipulation platforms
Proven track record shipping learning-based systems — behavior cloning, RL, or VLA policies — to real robots in production or near-production settings
Strong proficiency in Python and C++ for robotics and ML systems; experience with PyTorch or equivalent deep learning frameworks
Deep understanding of robotics fundamentals: kinematics, dynamics, control theory, state estimation, and perception
Experience building and evaluating visuomotor or multimodal policies end to end, from data collection through deployment
Ability to operate independently in an early-stage environment, make architectural decisions with limited information, and build from scratch
Comfort on the lab floor — debugging physical robots, running hardware-in-the-loop tests, and iterating on live systems
Experience with state-of-the-art bi-dexterous mobile hardware platforms, including dexterous manipulation and whole body control
Familiarity with hardware bring-up, sensor integration, or embedded systems; ability to engage with mechanical and electrical teams at a subsystem level
Background in SLAM, 3D perception, or sensor fusion (IMU, lidar, cameras, force/torque)
Experience with physics simulators such as MuJoCo, NVIDIA Isaac Sim, or Gazebo
Familiarity with ROS/ROS2 or similar robotics middleware
Publication record or open-source contributions in robot learning, embodied AI, or manipulation
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, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $250,000 - $400,000 USD annually.
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.
