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Added 2 months ago
Q
Firmware Engineer, Principal
Qualcomm
Toronto, ON
- Full-time
Engineering Group, Engineering Group > Software Engineering
Added 2 months ago
GF
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- $95,000 to $115,000 CAD / year
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Added 2 months ago
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Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions
Added 3 months ago
CO
Distinguished Engineer
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- Full-time
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Added 3 months ago
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…Stimulation (CSS) developments, the role combines production engineering, operational support, well integrity management, and asset optimization to deliver sustainable production…
Added 4 months ago
DevOps Developer
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Montreal, Quebec
The DevOps Developer is responsible for bridging the gap between software development and IT operations by automating, optimizing, and securing the software delivery lifecycle. This role…
Added 4 months ago
I
Senior AI Engineer
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- Full-time
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Added 4 months ago
Supervisor, Marketing Science
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Added 2 months ago
GD
System Integration & Test, Intermediate
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…VLANs), Microsoft applications, radio secure bearers, voice and data networks, and various automation tools (Python, Robot Framework), troubleshooting tools (Wireshark, VCCI, CORE) and…
Added 2 months ago
Platform Applications Engineer Intern (8-month Co-Op)
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…debuggable, and delightful to use for both customers and internal engineering teams. Your work will span software, systems, and silicon – developing automation, diving into labs with…
Added 2 months ago
Firmware Engineer (Internship) - Vancouver
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…Inspired by trusted partnerships with hyperscalers and the data center ecosystem, we are an innovation leader of products that are flexible, interoperable, and reliable. We are…
Added 4 months ago
Site Reliability Engineer
TextNow, Inc.
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…environment where intelligent tooling is embedded into everyday engineering practice. Using AI is not optional, it’s expected. From design and architecture to implementation, testing,…
Added 5 months ago
CS
DevOps Engineer - New Grad 2026
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Enrolled in a University program with a degree in Computer Science, Computer Engineering, or other related disciplines.
Added 4 months ago
C
Software Engineer, Adoption
Cohere
Remote, Canada
- $175,000 to $270,000 CAD / year
- Full-time
- Remote
…companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with…
Added 5 months ago
M(
Senior Applied Scientist, Parts Intelligence & Inventory Optimization
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
5+ years of professional software engineering or data science experience, with significant time spent on optimization, forecasting, or ML systems shipped to real users.
Added 4 months ago
Network Engineer, Foundation Services Automation
Meta
Quinte West, Ontario
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Added 4 months ago
Network Engineer, Foundation & Support
Meta
Quinte West, Ontario
…and pre-deployment activities (such as design bootstrapping, engineering design package generation, bill of materials (BOM) creation…
Added 4 months ago
N
Concepteur(trice) Technique Senior | Senior Technical Designer
NBCUniversal
Montreal, Quebec
- Full-time
Added 4 months ago
CM
Software Engineer
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Waterloo, Ontario
- Full-time
Bachelor’s degree in Computer Science, Engineering or related or equivalent work experience
Added 1 month ago
Senior QA Automation Engineer
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Toronto, ON
…media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence…
Added 1 month ago
Senior Automation Engineer
Tubi - Canada
Toronto, ON
We are looking for a talented Automation Engineer to join our Automation Engineering team in Toronto. In this role, you will be responsible for designing and implementing automated tests…
Added 6 months ago
SH
AI Developer
Spectrum Health Care
Toronto, Ontario
- $110,000 to $120,000 CAD / year
- Full-time
Collaborate with Data Engineering teams to build and maintain scalable, HIPAA‑compliant data pipelines using Python, SQL, Spark, and Databricks to support healthcare AI use cases
Added 6 months ago
S
Generative AI Consultant
Sia
Toronto, Ontario
- $80,000 to $100,000 CAD / year
- Full-time
Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.
Added 4 months ago
ME
Water Resources Engineer
Montrose Environmental Group
Calgary, Alberta · Edmonton, Alberta · CAN-Alberta-Edmonton
- Full-time
Experience with Python, R, or VBA for data analysis and model automation would be considered an asset.
Added 4 months ago
N
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal
Montreal, Quebec
- Full-time
Architect the end-to-end UGC framework: data models, runtime systems, and extensibility points

MaintainX (An Autodesk Company)

Senior Applied Scientist, Parts Intelligence & Inventory Optimization

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Experience: 5+ years of professional software engineering or data science experience, with significant time spent on optimization, forecasting, or ML systems shipped to real users.
Posting language: English
Posted: Jun 2, 2026

Original job description

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.

In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. 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. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours.

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.
This is a high-ownership role. 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.

What you'll do

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.
Partner with PM and design to translate messy real-world inventory problems into tractable models, and push back when "optimal" isn't what operators actually want.
Iterate with real users via design partnerships and pilot deployments. Take feedback from parts managers and procurement teams seriously and reflect it back into the model.
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.

About you

5+ years of professional 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. You can own a production service end-to-end.
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 care about the operator outcome, not just the metric.
Comfort with ambiguity. You can co-design the data model and feature schema with the team rather than waiting for a clean spec.
Familiarity with GenAI tooling (LLM tool calling, structured output, prompt design for constrained generation) is expected.

Nice to have

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.
Tech-lead experience or interest in growing into a tech-lead role on this team.

What's in it for you

Competitive salary and meaningful equity opportunities.
Healthcare, dental, and vision coverage.
401(k) / RRSP enrollment program.
Take what you need PTO.
A work culture where you'll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists. We believe in meritocracy, where ideas and effort are publicly celebrated.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Benefits, retirement and time off are described at benefits.autodesk.com.

More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

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More about this job

Responsibilities

Own and evolve the optimization and ML models powering the Parts Agent, focusing on reorder point prediction and stock balancing. Build APIs and tools to integrate these models into GenAI workflows to provide explainable inventory actions for enterprise customers.

Requirements

Requires 5+ years of experience in software engineering or data science with a strong background in optimization paradigms and Python service engineering. An academic foundation in Operations Research, Industrial Engineering, or a related quantitative field is required.

Skills

Optimization
Forecasting
Machine Learning
Python
Linear Programming
Stochastic Programming
Simulation
API Development
GenAI Tooling
Demand Forecasting
Inventory Management
Operations Research
Supply Chain Modeling
Data Science
Software Engineering
Prompt Design

Benefits

Competitive Salary
Equity Opportunities
Healthcare
Dental Coverage
Vision Coverage
Take What You Need PTO

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Python
LP/MILP
Stochastic Programming
GenAI
LLM
MRO
Supply Chain
Inventory Optimization
Demand Forecasting
API
Async
Observability
Data Modeling
Economic Order Quantity
Safety Stock
Parts Intelligence
EAM
Cloud 100
Machine Learning
Operations Research

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