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 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 underperforms 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. At Applied Intuition, you will: 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 We're looking for someone who has: 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++
Nice to have: 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 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: $180,000 - $255,000 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.
