Industrials Integration Engineer
About this role
Applied Intuition is hiring a Industrials Integration Engineer, full-time, on-site in Sunnyvale, in the Autonomous Vehicles sector.
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 full-time 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 in-office expectation does not apply to contractor positions
About the role
We are looking for an integration engineer to bring autonomous haulage and heavy equipment platforms to life in the mining industry. You will own the integration of drive-by-wire, sensors, compute, and networking on large off-road vehicles, and work with platform teams to take each machine from bare platform to fully commissioned autonomous vehicle on a live customer site.
At Applied Intuition, you will:
Lead vehicle bring up and commissioning for autonomous haul trucks and heavy equipment, from drive-by-wire and sensor installation through calibration, validation, and customer sign-off
Debug across the hardware/software boundary, including CAN/J1939, Ethernet, time synchronization, and sensor drivers
Build the tooling, diagnostics, and integration processes that make each new vehicle faster and more reliable to deploy than the last
Plan and execute brake, steering, and system-level test campaigns that support functional safety and regulatory compliance
Work directly with OEMs, hardware vendors, and customer engineering teams, including time on active mine and quarry sites
We're looking for someone who has:
BS in Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics, Computer Science, or a related field, or equivalent practical experience
2+ years in vehicle, robotics, or embedded systems integration
Experience integrating and bringing up robotic, autonomous, or embedded vehicle systems
Strong systems debugging skills across electrical, networking, and software layers
Working knowledge of vehicle networks (CAN/J1939) and Ethernet-based sensor and compute architectures
Proficiency in Linux and Python, with the ability to read and modify C++
Willingness to travel and work onsite at industrial locations for short periods
Nice to have:
Experience with autonomy in the industrials domain
Familiarity with steer-by-wire or brake-by-wire systems and related standards (e.g. ISO 3450, ISO 5010)
Experience working with embedded compute platforms
Exposure to functional safety processes for autonomous or mining equipment
Experience with ROS or similar robotics middleware
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.
Description from Applied Intuition's official posting. Always confirm details on the company careers page.
About Applied Intuition
Applied Intuition
AV simulation and ADAS development tools. Mountain View, CA.
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About Larry Sherwood Jr.
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