---
title: 'Senior 3D & AI Systems Software Developer at CoLab Software'
canonical: 'https://feeny.ai/job/senior-3d-ai-systems-software-developer-colab-software-north-h161mq6xjk92'
type: 'job'
last_seen: '2026-09-09'
---

# Senior 3D & AI Systems Software Developer at CoLab Software

- **Company:** CoLab Software
- **Location:** North, United States
- **Work type:** remote
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/colabsoftware/jobs/5386531008

## Job description

## About CoLab

At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.

We build AI for engineers designing cars, medical devices, and jet engines. Products this complex aren't sketched and sent to production. Teams spend months on iterations, reviews, and tests, predicting how every part performs before anything is built. CoLab is where those reviews happen, and we capture the rationale behind every change. Other tools show what changed between versions. Only CoLab knows why. That's how our AI helps manufacturers like Bobcat, Triumph Motorcycles, and GE Appliances make better decisions, eliminate rework cycles, and get to market faster.

Proudly based in St. John’s, Newfoundland, CoLab started with one customer in 2018. Since then we’ve raised a $72M Series C, been named the 57th fastest growing company in North America by Deloitte (Fast 500™), signed multi-year AI partnerships with companies like Bombardier, and grown to a team of 250+.

## About the Role

CoLab’s AutoReview product is a core part of how we bring AI and engineering expertise together to improve design quality. So far, much of that work has focused on 2D drawings. Now, we’re building the future of 3D AutoReview — and we need a backend engineer who’s excited to help in that mission.

You’ll join the AutoReview team and help build the systems that power intelligent 3D design analysis at scale. That includes everything from geometry parsing and model analysis to backend infrastructure, rule systems, and AI-assisted review workflows. This is deeply technical, multidisciplinary work that sits at the intersection of backend engineering, CAD systems, and machine learning.

You’ll spend time experimenting, testing assumptions, and solving problems that don’t have obvious answers. You won’t be handed perfectly scoped projects or detailed specs. But you will get ownership, support, and the opportunity to shape how AI-driven design review evolves inside some of the world’s leading engineering organizations.

Our Ideal Candidate You’ve got solid backend engineering experience, ideally with exposure to 3D CAD modelling or using tools like OpenCascade or Parasolid. You’re comfortable with math-heavy problems (linear algebra, vector calculus), and bonus points if you’ve worked in ML/LLM environments or with HOOPS.

You like to understand the “why” behind the work and communicate it clearly. You thrive in ambiguity and don’t wait for someone else to go first. If something’s unclear, you figure it out—and then explain it to the rest of the team. You’re ready to be the go-to person for 3D anomalous within the AutoReview space and help others get up to speed.

Job Responsibilities

- Become a key contributor in the  backend development for 3D AutoReview features, from pipeline architecture to production delivery
- Experiment with geometry parsing, quality detection, and context generation for 3D model review
- Partner with backend, frontend, and product teams to drive the delivery of high-impact features with speed, quality, and cross-functional alignment.
- Collaborate with ML teams to incorporate intelligence into the 3D review process Develop extensible systems for custom rule creation and reference data in 3D AutoReview
- Help set and maintain high technical standards across the team

## Qualifications

- 5+ years of experience in backend development, ideally in a product or platform team
- Solid grasp of 3D math with practical experience in graphics engines, CAD kernels (HOOPS, OpenCascade, Parasolid), Robotics, 3D simulations, etc.
- Hands-on experience designing, developing, and maintaining robust, scalable backend systems and APIs
- Experience working with multiple data storage paradigms (SQL, NoSQL, and vector databases)
- Experience with ML/AI/LLM concepts and productionalization
- Familiarity with 3D model ML pipelines (e.g., feature extraction, embedding generation, model training, or inference)
- Familiarity with agentic workflows (e.g., pydantic-ai)
- Experience integrating and prompting large language models (LLMs) via APIs (e.g., OpenAI, Anthropic, Google Gemini)
- Knowledge of ML frameworks such as PyTorch, Hugging Face, or Scikit-learn
- Experience deploying ML services in cloud infrastructure (e.g., AWS SageMaker, Amazon Bedrock, etc.)
- Comfortable working with ambiguous or loosely scoped technical challenges
- Excellent communicator—able to translate technical problems into clear paths forward
- Experience with CAD modeling software like SolidWorks, Creo, or OnShape is a strong plus
- Experience with mechanical engineering concepts is a strong plus

Extra Details

- This is a full-time, permanent position with a competitive compensation package that includes stock options
- Includes extended health benefits, unlimited paid vacation, and RRSP/401K matching and 100% health/dental coverage
- Fully remote within North America

Equity Note

Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic and apply even if you don’t meet every single qualification—your potential is what matters most to us.

## About CoLab Software

## Core Business
- **Primary industry**: Engineering design collaboration software (CAD/PLM)
- **Target customers**: B2B, enterprise – mechanical engineering teams at hardware manufacturers (e.g., automotive, industrial equipment, medical devices)
- **Mission statement**: “To help engineering teams deliver life-changing products to the world years sooner.”

## Products & Services
- **[CoLab Platform (Design Engagement System)]**: A cloud-based workspace for virtual design reviews, where engineers can annotate 2D/3D models in real time, track feedback, and automatically capture knowledge.
- **[AutoReview (AI Peer Checker)]**: An AI agent that marks up drawings and 3D models against company design standards, lessons learned, and industry best practices before human review.
- **[AI Lessons Learned Agent]**: An AI that surfaces relevant past design decisions and similar designs during reviews, automating the traditional lessons-learned process.
- **Integrations**: Connects with major PLM systems (Windchill, Teamcenter, 3DXPERIENCE) and accepts 30+ CAD file types for browser-based review.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metrics**: Annual Revenue ~$22.5M (2025); Total Funding $115.6M (as of Series C, Nov 2025)
- **Notable Investors/Partners**: Insight Partners (lead Series B), Intrepid Growth Partners (lead Series C), Y Combinator (Pre-Seed). Customers include Ford, GE Appliances, Johnson Controls, Lockheed Martin, Komatsu.
- **Growth Signals**: 64 new employees added in last 12 months (+67% growth); named to Deloitte Canada’s Fast 50 in October 2025; operates in 7 countries; 30,650 LinkedIn followers (+47% YoY).

## Competitive Advantages
- **AI trained on proprietary company knowledge**: AutoReview and the Lessons Learned agent use an organization’s own design standards and past review data, making the AI highly specific to each customer’s engineering practices.
- **Knowledge capture as a byproduct**: Feedback from reviews is automatically structured into a searchable database, eliminating extra documentation steps.
- **Browser-based CAD review**: No special software or training needed for stakeholders to explore 3D models and add feedback.
- **Strong PLM/CAD integrations**: Deep connections with industry-standard tools reduce friction for enterprise adoption.

## Strategic Focus
- **Deploying AI agents** that assist engineers across the entire design lifecycle, from concept to validation.
- **Scaling the platform** to more complex engineering programs and expanding the customer base among Fortune 500 manufacturers.
- **Building out the “EngineeringOS” vision** – connecting people, data, and AI in one collaborative workspace.

## Why Work Here
- **Culture**: Emphasizes kindness, respect, grit, ownership mentality, and continuous improvement. Values are clearly defined and used in hiring.
- **Remote-friendly**: “Remote Friendly” policy listed on the careers page; team spans Canada, USA, and Europe.
- **Benefits**: Health & dental coverage, RRSP/401K matching, unlimited PTO (vacation, personal, sick, bereavement), stock options, frequent team building.
- **Engineering DNA**: Co-founded by mechanical engineers who experienced the problem firsthand; the team includes alumni from Rivian, Tesla, Northrop Grumman, and Komatsu.
- **Growth stage**: High-growth scaleup (181 employees, +61% YoY) with active hiring across engineering, sales, product, and marketing roles.

## Sources
1. [colabsoftware.com](https://www.colabsoftware.com/)
2. [colabsoftware.com/about-us](https://www.colabsoftware.com/about-us)
3. [colabsoftware.com/careers](https://www.colabsoftware.com/careers)
4. [linkedin.com/company/colabsoftware](https://ca.linkedin.com/company/colabsoftware)
5. [ycombinator.com/companies/colab](https://www.ycombinator.com/companies/colab)

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