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.