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Overview
Mid-Level

Field Deployment Engineer, Vehicle Operations

Confirmed live in the last 24 hours

Applied Intuition

Applied Intuition

Compensation

$80,000 - $138,571/year

North America
Remote
Posted February 27, 2026

Job Description

About Applied Intuition

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.

About the role

We are looking for highly ambitious engineers with a passion for driving customer success at the highest levels. This is not a typical engineering role; it's a unique opportunity to operate at the intersection of groundbreaking technology and critical customer impact. You will be entrusted to own the outcome of our most strategic customer engagements, leading the charge on high-stakes initiatives that directly accelerate the industry's adoption of safe, software-centric, AI-driven machines globally. 

Note: This role may require relocation 1-2 times per year to various customer sites. For most of 2026, the target location will be in Louisiana.

At Applied Intuition, you will:

  • Own end-to-end field deployment of Applied’s product lines at customer sites leading integrations of systems from initial setup through steady-state operations
  • Partner with customer operations leadership and frontline teams (control room, field ops, maintenance, etc) to establish clear roles, decision paths, and day-to-day operating procedures
  • Drive safe operational readiness by translating safety philosophy and “non-negotiable” critical controls into site procedures, training, and go/no-go criteria
  • Act as the technical escalation point on-site: triage issues, collect logs/telemetry, reproduce problems, and prioritize fixes with the broader engineering team while keeping customers unblocked
  • Monitor deployment health and performance (uptime, throughput, latency, intervention rates), then drive continuous improvement with the customer, internal engineering teams and applied leadership

We're looking for someone who has:

  • 3+ years of experience supporting technology deployed on heavy equipment, construction machinery, mining trucks, or similar off-road vehicles
  • Prior experience working in the mining/construction industry 
  • Hands-on experience with field installations, including wiring harnesses, sensors, ECUs, power systems, and vehicle interfaces
  • Experience deploying and supporting software systems in production or customer environments
  • Strong troubleshooting skills across hardware, software, electrical, and networking domains
  • Comfortable working in active construction or industrial environments
  • Ability to work independently, own outcomes, and make sound technical decisions in the field
  • Strong communication skills and comfort acting as the primary customer-facing engineer
  • Willingness to be based on-site in Louisiana for extended periods

Nice to have:

  • Background in electrical engineering, mechanical engineering, robotics, or related technical fields
  • Prior work in autonomous vehicle developme
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