PRODUCT ENGINEER – AI-DRIVEN ANALOG CHIP DESIGN

About the role

We are looking for experienced Product Engineers to join our growing team in Santa Clara, California and help define the next generation of AI-driven technology for analog and custom IC design. You’ll work at the intersection of semiconductor design, AI, product strategy, and customer engagement. The ideal candidate understands complex design challenges, can translate customer needs into product requirements, and enjoys helping bring innovative technologies from concept to production.

How would you:

• Automate workflows that have traditionally required years of engineering expertise?
• Combine AI, optimization, and domain knowledge to solve challenging problems across analog, custom digital, and standard cell design?
• Help customers migrate decades of intellectual property between design environments?
• Build products that make engineers dramatically more productive while improving design quality?
• Take breakthrough ideas from concept to deployment at the world’s leading semiconductor companies?

That’s what we do. We’re looking for people excited about solving difficult problems and making a meaningful impact.

Responsibilities

• Define product requirements and workflows for next-generation design automation solutions.
• Work directly with customers to understand challenges, find opportunities, and validate proposed solutions.
• Drive product direction for technologies across analog design, standard cell design, custom digital implementation, design migration, and design automation.
• Partner closely with engineering teams to translate customer needs into product capabilities and deliverables.
• Define use cases, success metrics, benchmarks, and customer adoption strategies.
• Lead evaluations, demonstrations, customer engagements, and early-access deployments.
• Influence roadmap priorities based on market needs, customer feedback, and competitive analysis.

Requirements

• Bachelor’s degree in EE or CE or related field.
• Experience in semiconductor design, EDA, or related technical fields.
• Experience defining solutions, workflows, or products that have been successfully delivered to users or customers.
• Experience applying automation, AI, machine learning, generative AI, or agentic AI technologies to engineering workflows.
• Strong understanding of one or more of the following domains:
  • Analog and custom IC design
  • Standard cell design and optimization
  • Physical implementation
  • Design migration and design reuse
  • Semiconductor design automation
  • Physical verification, extraction, and simulation workflows
• Experience working directly with customers to gather requirements and drive technology adoption.
• Strong communication, presentation, and collaboration skills.
• Ability to work effectively across product management, engineering, sales, and customer teams.

Preferred Qualifications

• Master’s degree in EE or CE or related field.
• Analog and custom IC design workflows.
• Circuit simulation, SPICE, and analog verification flows.
• DRC, LVS, parasitic extraction, and physical verification.
• OpenAccess-based design environments.
• Experience with commercial EDA platforms such as Cadence Virtuoso.
• Delivering software products used in production semiconductor design flows.
• Technical leadership and multi-functional collaboration.

Benefits

• 401k matching and stock purchase plan.
• Annual performance reviews and bonuses.
• Education reimbursement.
• Partially paid Medical, Dental, and Vision insurance.
• Life, Short-Term, and Long-Term Disability insurance.
• Generous time off plan, including paid sick leave, paid parental leave, PTO (for non-exempt employees), or non-accrued flexible vacation (for exempt employees).

Siemens believes in fostering a work environment that promotes a healthy work-life balance. Flexibility to choose between working at home and the office is the norm here.

Pay

The salary range for this position is $84,200 to $294,800 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training.