- MSc or PhD in a science or engineering field (e.g., electrical engineering, applied physics, applied math)
- 4+ years of experience in software engineering, applied AI, forward deployed engineering, or solution engineering roles
- Strong programming experience, primarily in Python
- Hands-on experience with modern AI tools
- Experience working directly with customers or internal stakeholders to deliver technical solutions

About the role

You'll work directly with engineers, researchers, and engineering leadership at customer organisations - translating complex photonic device and circuit challenges into structured, deployable AI systems. Technical bridge between customer requirements and product capabilities. Fast-moving, high-impact, contract engagement.

What you'll do

- Engage deeply with customer teams to understand device, circuit, and packaging design workflows
- Build high-impact prototypes demonstrating AI-assisted photonic modelling, circuit optimisation, and simulation automation
- Design and deploy agentic AI workflows orchestrating LLMs, physics-based models, simulations, and customer data
- Convert field learnings into structured feedback that shapes product roadmap and architecture
- Serve as a credible, trusted technical partner across pilots, evaluations, and early production deployments

You

- MSc or PhD in electrical engineering, applied physics, applied math, or equivalent
- 4+ years in software engineering, applied AI, forward deployed, or solutions engineering
- Strong Python - scientific computing, workflow orchestration, API integration
- Hands-on with modern AI tools: LLMs, APIs, agentic systems, orchestration frameworks




- Excellent communicator - comfortable with engineers, engineering managers, and enterprise stakeholders

Nice to have
Experience with LangChain, LlamaIndex, Pydantic, Ray, or similar · EDA-style environments or hardware-software co-design · Cloud/HPC deployment · R&D; or applied science collaboration

Hiring process

- Screening (TechTree)
- NDA singing
- Live prototyping task with technical lead
- Technical meeting with hiring manager and potentially 2 other team members
- 45 min meeting with CEO & Co-founder + HR Partner
- In parallel with last meeting is reference check
- Offer

Setup: Contract position · Hybrid, Toronto office 2-3 days/week

Impact-Driven Culture

- Competitive compensation
- Stock Options Plan
- Access to state-of-the-art tools
- Collaborative opportunities with leading experts
- Opportunities to attend industry conferences
- Present research findings
- Engage with the global AI research community

About Proof-Backed Reasoning Startup

An innovative company is building a current class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows. Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.

#J-18808-Ljbffr

📌 Forward Deployed Engineer (Toronto)
🏢 TechTree
📍 Toronto