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Forward Deployed Engineer
TechTree's client
Salary
Undisclosed
Work mode
Hybrid
What we're looking for
- MSc or PhD in a science or engineering field (e.g., electrical engineering, photonics, 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 (LLMs, APIs, agentic systems, orchestration frameworks)
- Excellent written and verbal communication skills
About the role
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, photonics, 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
Culture interview
Engineering task
Setup: Contract position · Hybrid, Boston office 2–3 days/week
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, photonics, 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
Culture interview
Engineering task
Setup: Contract position · Hybrid, Boston office 2–3 days/week
Compensation & benefits
Salary: Undisclosed
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
Impact-Driven Culture
Equity details
Type: Stock Options
Details: Empowering you to share in our success and growth.
About TechTree's client
An innovative company is building a new 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.