Chips Talk, We Listen
proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics.
Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech.
Why proteanTecs is a great place to work:
- Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics.
- Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment.
- International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry.
- Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products.
- Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs.
- Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics.
- We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth.
We're looking for a senior Software engineer to own a core slice of our product's EDA tooling — spanning data modelling, connectivity/encapsulation flows, and AI capabilities we're building directly into the product. You'll step into an area with real customer-facing impact and significant technical depth, working across the full stack from low-level handling of industry standard collaterals to modern AI-based product architectures.
Requirements
- 5–10 years of experience in semiconductor engineering, ideally with exposure to EDA (Electronic Design Automation) tools, semiconductor design flows, or similar hardware-adjacent domains.
- Strong software engineering fundamentals — Python and/or C++, with the ability to work in complex, long-lived codebases.
- Experience with hardware description/design formats such as Verilog, LEF/DEF, SDC, or UPF is a strong plus.
- Familiarity with building or integrating AI/LLM-based tooling is a significant plus.
- Comfort owning customer-facing bugs and field issues end-to-end — from triage to root cause to fix.
- Strong written and verbal communication skills; you'll be a primary point of contact for both customers and internal teams on your areas of ownership.
- Self-directed and comfortable operating with ambiguity — much of the AI work is greenfield and evolving quickly.
Nice to Have
- Prior experience in chip design, physical verification, or power analysis workflows.
- Experience building developer tools, CLIs, or SDKs.
- Track record of taking a project from prototype to production deployment.
Responsibilities
- Product Data Model — our physical-aware data model that powers the product, triaging and resolving customer-reported issues and driving flow improvements.
- Product Tooling (Connectivity & Encapsulation) — supporting and enhancing core connectivity/encapsulation tooling within the product, including testing, and enhancing encapsulation flows in the context of proteanTecs' agents.
- AI Solutions — joining the team that builds and grows AI capabilities as part of the product, from architecture through deployment.
- Acting as a go-to technical resource for customers and internal teams on the above.