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Senior 3D & AI Systems Software Developer

2 weeks, 3 days ago
North America
Full-time
Senior
Backend Engineer
Software Development
Hugging Face LLM Machine Learning PyTorch SageMaker Scikit-learn SQL
Apply Now
CoLab

CoLab

CoLab is a collaborative engineering platform that streamlines design reviews, prevents errors, and speeds up product development for hardware engineering teams.

Construction & Engineering
51-250
Founded 2017
$20M raised
View All Jobs 13

Description

  • Lead backend development for 3D AutoReview features, from pipeline architecture through production delivery.
  • Experiment with geometry parsing, quality detection, and context generation for 3D model review.
  • Build and maintain backend infrastructure and systems that support intelligent 3D design analysis at scale.
  • Develop extensible systems for custom rule creation and reference data in 3D AutoReview.
  • Partner with backend, frontend, and product teams to deliver high-impact features with speed, quality, and alignment.
  • Collaborate with ML teams to incorporate intelligence into the 3D review process.
  • Help set and maintain high technical standards across the team.
  • Own ambiguous technical problems and help translate unclear requirements into workable solutions.

Requirements

  • 5+ years of experience in backend development, ideally on a product or platform team.
  • Strong understanding of 3D math, including linear algebra and vector calculus.
  • Practical experience with graphics engines, CAD kernels, robotics, or 3D simulations.
  • Hands-on experience designing, developing, and maintaining scalable backend systems and APIs.
  • Experience with multiple data storage paradigms, including SQL, NoSQL, and vector databases.
  • Experience with ML/AI/LLM concepts and bringing models or workflows into production.
  • Familiarity with 3D model ML pipelines, such as feature extraction, embedding generation, model training, or inference.
  • Familiarity with agentic workflows, such as pydantic-ai.
  • Experience integrating and prompting LLMs via APIs such as OpenAI, Anthropic, or Google Gemini.
  • Knowledge of ML frameworks such as PyTorch, Hugging Face, or Scikit-learn.
  • Experience deploying ML services in cloud infrastructure such as AWS SageMaker or Amazon Bedrock.
  • Comfort working on ambiguous or loosely scoped technical challenges.
  • Excellent communication skills and the ability to translate technical problems into clear paths forward.
  • Experience with CAD modeling software such as SolidWorks, Creo, or OnShape is a strong plus.
  • Mechanical engineering experience or domain knowledge is a strong plus.

Benefits

  • Competitive compensation package with stock options.
  • Extended health benefits.
  • Unlimited paid vacation.
  • RRSP/401(k) matching.
  • 100% health and dental coverage.
  • Fully remote work within North America.

Interested in this position?

Apply directly on the company website

Apply Now

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