Technical Product Management, Staff Engineer

Staff Technical Product Manager – Electronics AI & HPC Simulation

Job

18158

City

Sunnyvale

State/Province

California

Date Posted

08-Jul-2026

Job Category

Product Management

Job Subcategory

Technical Product Management

Employee

Yes

Base Salary Range: $117000 - $ 175000

Job Description and Requirements

The preferred location of this role is Bay Area (CA)

We Are

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to AI infrastructure and advanced semiconductor systems. As part of Synopsys, Ansys Electronics delivers industry-leading multiphysics simulation solutions that help customers design high-performance, thermally efficient, and reliable electronic systems. We are looking for a technically strong product leader to help define and deliver how AI, high-performance computing, and platform interoperability transform products such as HFSS, Icepak , and the broader Ansys Electronics Desktop platform into scalable, AI-powered simulation capabilities.

You Are

A technically credible product leader with expertise in simulation, AI/ML, and HPC. You understand advanced electronics workflows and translate engineering needs into scalable product capabilities.

You build shared capabilities, AI-assisted workflows, and HPC-enabled solutions that span products and field use cases. You work closely with R&D to define technical direction, guide implementation, and solve complex workflow and system-level challenges.

You are motivated by solving hard technical problems at scale, including simulation acceleration, intelligent automation, and interoperable platform integrations such as AEDT with NVIDIA Omniverse.

• Define core AI and HPC capabilities and reference implementations across HFSS, Icepak , and AEDT.
• Prioritize AI use cases such as set up assistance, model generation, solver guidance, design exploration, and automation.
• Support product and field teams with HPC solution patterns spanning distributed compute, GPU acceleration, orchestration, and cloud deployment.
• Extend AEDT into broader3 rd party ecosystems, through APIs, interoperable data models, and platform services.
• Partner with R&D, UX, field teams, and customers to validate priorities and deliver measurable value.
• Define requirements for AI, multiphysics , and scalable compute capabilities grounded in engineering use cases and feasibility. Key Qualifications
• Bachelor’s degree in engineering, computer science, physics, or a related technical field; advanced degree preferred.
• Strong Python scripting skills, with the ability to automate engineering workflows, develop reusable tools, and work effectively with APIs.
• Familiarity with HFSS, Icepak , Maxwell, AEDT, or comparable simulation environments.
• Knowledge of AI-assisted engineering workflows, intelligent automation, or engineering data platforms.
• Strong understanding of electromagnetic, thermal, multiphysics , or electronics design workflows.
• Experience with HPC deployment models including multicore, cluster, cloud, and GPU acceleration.
• Understanding of APIs, interoperability, workflow integration, and external technology partnerships. The Impact You Will Have
• You will help shape the future of electronics and AI by driving how simulation evolves for the AI era. Through AI implementation, HPC, and platform integration across Ansys Electronics within Synopsys, you will influence the next generation of technologies powering semiconductors, electronics, intelligent systems, and AI infrastructure.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

• In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses.
• Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package.
• The actual compensation offered will be based on a number of job‑related factors, including location, skills, experience, and education.

The base salary range for this role is across the U.S.