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 are looking for a Senior Product Engineer to join a global team of a Product Engineers that own a technical success and customer satisfaction across multiple high-impact projects. This role is deeply rooted in data analytics; you’ll be working at the intersection of silicon, systems, and software to deliver high-value insights to customers.

Responsibilities:

• Performing post-silicon and system-level data analysis and providing insights on data extracted from post-silicon stages
• Supporting customers with analytics platform problems solving and new features introduction
• Drive integration of proteanTecs’ analytics platform within customer environments, bridging silicon, test, and system-level domains.
• Collaborate with R&D and data science teams to develop, validate, and improve advanced analytics algorithms.
• Troubleshoot complex silicon/system issues through data-driven insights.
• Partner with internal stakeholders (design, software, product) to influence roadmap and execution.
• Act as a technical proffesional in customer onboarding, support, and ongoing engagement.

Requirements:

• B.Sc. or M.Sc. in Electrical Engineering or a related discipline.
• 5+ years in IC/system product, test, or yield engineering, including deep post-silicon analytics experience.
• Strong track record in data analysis and root-cause debugging at the system or silicon level.
• Deep understanding of IC manufacturing, characterization, and qualification processes.
• Excellent communication and interpersonal skills — especially in customer-facing situations.
• Strong organizational and prioritization skills with a results-oriented mindset.
• Fluency in English (written and verbal) is a must.

Preferred Qualifications

• Expertise in data analytics platforms (e.g., JMP, Python, or similar).
• Experience in ATE test development or digital simulation tools (e.g., HSpice, PrimeTime)- advantage.
• Background in silicon lifecycle management, reliability physics, or embedded monitoring.
• Familiarity with cloud platforms or ML-based analytical solutions is a plus.