greenhouse
Engineering Manager – Applied AI
General Matter
CAN
Manager · 7+ years experience
USD 220000-300000 / year
Discovered 1 weeks ago
python
Free
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Role Overview
General Matter has a massive body of critical path engineering work ahead—nuclear licensing, integrated safety analysis, design criteria, technoeconomic modeling.
Conventional timelines for this work are too slow.
We believe there is an opportunity to reinvent every single engineering workflow using modern AI.
The Applied AI team embeds with engineering teams across the company with a single focus: make existing engineering workflows significantly faster.
You identify the bottleneck, build the tool, and move to the next problem.
This is an opportunity to define what AI-first engineering looks like at a nuclear company.
The nuclear industry has done things the same way for decades.
Assumptions that everyone takes for granted — “this analysis requires a PhD specialist,” “this document takes three months to draft,” “this review has to be fully manual” — are all open questions now.
You get to challenge every one of them, across every team.
Key Skills for This Role
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Responsibilities
- Lead and grow the Applied AI team: Hire, develop, and retain engineers while setting a high technical bar.
- Own technical direction and prioritization: Identify the highest-leverage engineering problems and decide where the team should invest its time.
- Stay hands-on: Review architecture, solve difficult technical problems, and contribute to implementation when appropriate.
- Partner with engineering teams across General Matter: Work directly with licensing, safety, design, manufacturing, and other technical teams to understand their workflows and identify opportunities for AI-driven leverage.
- Build scalable engineering practices: Establish the processes for project selection, prototyping, evaluation, and production handoff that allow the team to grow without losing speed.
- Represent Applied AI across the company: Communicate technical direction, progress, and tradeoffs to company leadership and cross-functional partners.
- Basic Qualifications
- 7+ years of professional software engineering or applied AI experience.
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