Responsibilities
- Customer Discovery & Technical Framing: Engage deeply with customer teams to understand device, circuit, and packaging design workflows. Translate ambiguous, multi-modal engineering requirements into clear technical architectures and delivery roadmaps. Act as a trusted technical partner during pilots, evaluations, and early production deployments.
- Rapid Prototyping & Agentic Workflows: Build high-impact prototypes demonstrating AI-assisted photonic modeling, multi-domain co-design, circuit optimization, and simulation automation. Design and deploy agentic AI workflows that orchestrate LLMs, physics-based models, simulations, scientific tools, and customer data. Iterate quickly based on real-world feedback while ensuring technical rigor and product readiness.
- Customer–Product Bridge: Collaborate closely with internal software and product teams to convert field learnings into scalable platform capabilities. Provide structured feedback to influence roadmap, architecture, and long-term product strategy.
Requirements
- MSc or PhD in a science or engineering field.
- 4+ years of experience in software engineering, applied AI, forward deployed engineering, or solution engineering roles.
- Strong programming experience, primarily in Python (scientific computing, workflow orchestration, API integration)
- Hands-on experience with modern AI tools (LLMs, APIs, agentic systems, orchestration frameworks).
- Excellent written and verbal communication skills; a highly effective listener; able to work directly with engineers, engineering managers, and enterprise stakeholders.
- Demonstrated experience working directly with customers or internal stakeholders to deliver technical solutions.
- Possess a naturally friendly, helpful and collaborative attitude, acting a true partner to customers.
Nice to Have
- Hands-on experience building agentic AI solutions using modern frameworks (e.g., LangChain, Pydandic, LlamaIndex, Ray, Prefect, or similar)
- Experience with EDA-style environments or hardware–software co-design.
- Familiarity with cloud infrastructure, APIs, and deployment workflows.
- Ability to design solutions that connect device-level physics, circuit-level constraints, and system-level automation.
- Familiarity with enterprise deployment models (cloud, hybrid, on-prem) and HPC or cluster-based compute environments.
- Experience working with research teams, applied scientists, or R&D organizations on production software.
Benefits
- Competitive compensation
- Stock Options Plan: Empowering you to share in our success and growth.
- Cutting-Edge Tools: Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
- Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community.
- Impact-Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.
Work Arrangement
Hybrid — Boston, Toronto, Singapore
