Perception Engineer - Offroad

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

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.

As a perception engineer on the Mining Autonomy team, you will own perception outcomes for autonomous mining vehicles operating across active customer sites in Australia, Europe, and the US. You are responsible for making our core autonomy platform work in the real world: selecting sensor sets for new vehicles, adapting existing models to new domains and operational design domains, diagnosing why a model under performs on a new site, and deciding when to fix it yourself versus routing it back to the core team.

You will work at the intersection of perception, planning, controls, and customer requirements, translating what a mining customer needs into a concrete technical approach and a set of KPIs the team can build toward.

You will collaborate daily with the core autonomy platform team, customer engineering, and BD, and will help stand up new product lines alongside developing existing ones.

• Design and implement perception systems to enable new product capabilities, leveraging existing model heads and solving new perception tasks.

• Design the data strategy for a new deployment: what to collect, how much, and how to label it, to get a model production-ready

• Make build-vs-reuse tradeoffs when standing up new product lines, including output types, KPIs, and collaboration points with the core perception team

• Triage model and system issues in the field — timestamps, data quality, calibration, and similar — and decide whether to resolve them directly or work with the core platform team to fix them upstream

• Strong systems-level understanding of perception (and ideally planning/controls) — enough to reason about the full stack, even without owning model training personally

• A product-owner mindset: motivated by customer success and problem ownership more than by being on the cutting edge of modeling research

• Experience diagnosing real-world model failures in deployed systems and driving them to resolution, whether hands-on or through cross-team negotiation

• Comfort working with ambiguous, evolving requirements from customers and translating them into technical specs

• Familiarity with PyTorch, ONNX, TensorRT, Docker, Python, some C++

• Experience with internal ML pipeline/orchestration tooling (e.g., Flyte) is a plus

• Experience with offroad autonomy

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…