Senior Applied Scientist, Parts Intelligence & Inventory Optimization MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers , including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders.

Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. We're looking for a Senior Applied Scientist to own the intelligence layer behind our Parts Agent — one of the most strategic bets on our Inventory & EAM roadmap.

The agent sits on top of a multi-layer parts data model (PartMaster, StockRecord, PhysicalInstance) and is responsible for answering hard inventory questions: when to reorder, how to optimize stock levels across sites, which parts are at risk of stockout, and how to reconcile messy supplier catalogs into a clean parts master.

Your focus will be building the decision models, optimization routines, and AI-powered tools that make those answers trustworthy enough for enterprise maintenance teams to act on.

You'll shape the modeling approach, partner closely with product and design on what inventory managers actually need, and ship iteratively against feedback from real enterprise customers.

Own and evolve the optimization and ML models that power Parts Agent capabilities: reorder point prediction, economic order quantity, multi-site stock balancing, and demand forecasting.





Design and implement increasingly sophisticated inventory intelligence: vendor lead time modeling, criticality-weighted safety stock, substitution graph traversal, and proactive stockout alerting.

Build and maintain APIs and tools that expose these models to GenAI agent workflows (tool calling, structured input/output), enabling the Parts Agent to take grounded, explainable actions.

Iterate with real users via design partnerships and pilot deployments.

Contribute to the surrounding Python service: performance, observability, testing, and reliability of the inventory intelligence runtime.

Help shape how parts intelligence integrates with the broader MaintainX product over time, including learning from historical usage and purchasing data to continuously improve model inputs.

5+ years of skilled software engineering or data science experience, with significant time spent on optimization, forecasting, or ML systems shipped to real users.

Strong fluency with at least one optimization paradigm (LP/MILP, stochastic programming, simulation) and practical experience with demand forecasting or inventory management models.

Solid Python service engineering: APIs, async, testing, profiling, observability. Academic grounding in Operations Research, Industrial Engineering, Supply Chain, Statistics,



or a related quantitative field; strong undergraduate foundation at minimum.

Track record of iterating data-driven systems with real users — you've felt what happens when a model recommendation gets rejected and you've redesigned the approach in response.

Product mindset and delivery orientation: you ship, you measure, you iterate. You can co-design the data model and feature schema with the team rather than waiting for a clean spec.

Experience at a known product company shipping inventory management, supply chain, or procurement optimization at scale.

Exposure to learning-augmented optimization — using historical purchasing or consumption data to estimate lead times, priors, or constraint weights.

Domain experience in MRO (Maintenance, Repair & Operations) inventory, spare parts management, field service logistics, or manufacturing supply chains.

Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. Depending on the role, compensation may also include commission, an annual bonus and equity. For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it.

Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

Competitive pay, meaningful equity, performance bonuses, and rewards for outsized impact. Catered lunches, off-sites, hackathons, energetic teams, and a community that celebrates big wins and resilience. #

📌 Engineering Senior Applied Scientist, Parts Intelligence & Inventory Optimization CA - CA$205K (Winnipeg)
🏢 MaintainX
📍 Winnipeg