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Applied Intuition

Robotics Integration Engineer, Tech Lead

SunnyvaleOnsite · United States
Staff · FullTime · Software Engineering - Self-Driving
POSTED 4 NOVVERIFIED 54M AGO
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Pay · posted
$180k–210k
mkt median $240k
Open for
0d
since 4 Nov
H-1B · FY26
97
4 PERM · UK sponsor
Hiring · 30d
326
+7 net · open roles

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

The Industrials team automates and adds intelligence to heavy machinery across construction, mining, and agriculture. As a Senior Robotics & Integration Engineer, you will own the software and hardware platform that our intelligent autonomy stack runs on — everything from networking, time synchronization, sensors and drivers, and middleware, down to embedded systems, drive-by-wire, and low-level controls actuation. This role sits at the intersection of hardware, software, and robotics, blending 0→1 development with production systems and direct product and customer-facing work. You will partner with core teams across the company — such as electrical, middleware, firmware, and hardware, etc. — and bring their work together, adapting it into products that enable customer success. As a tech lead, you will coordinate and prioritize the work of multiple engineers on the team as well as cross-functional efforts with internal teams.

At Applied Intuition, you will

Own the vehicle platform end-to-end: networking, time synchronization, sensor selection and drivers, middleware integration, embedded software, drive-by-wire, and low-level controls actuation

Architect and deliver full-system platform capabilities spanning hardware and software, taking them from 0→1 prototypes through to reliable production systems deployed on heavy machinery

Integrate the cross-functional work of internal teams into cohesive, product-ready platforms adapted to customer machines and use cases

Interact directly with customers to identify target use cases, define platform requirements, and drive integrations through to successful deployment in the field

Lead and coordinate a team of engineers: set technical direction, prioritize across competing workstreams, and manage cross-functional dependencies with internal teams

Design and bring up test rigs and validation infrastructure for end-to-end system testing, hardware-in-the-loop verification, and on-vehicle validation

Debug, test, and troubleshoot complex interactions across the full stack — from sensor timing and network behavior to actuation and controls — to ensure reliability and system performance in harsh, real-world environments

We're looking for someone who has

5+ years of experience in robotics, systems integration, or platform software development, with demonstrated technical leadership or tech lead experience

Bachelor's or Master's Degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related area

Deep, hands-on experience across the robotics platform stack: sensors and drivers, networking and time synchronization, middleware (e.g., ROS 2, DDS, or proprietary frameworks), and embedded systems

Source · Applied IntuitionFirst seen 5 NovOriginal ↗