HPC-EDA Technical GTM Specialist, WWSO HPC Team

About the role

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Are you passionate about transforming how the semiconductor industry designs the chips that power our world? Do you have deep technical expertise in Electronic Design Automation (EDA) and High Performance Computing (HPC) combined with the business acumen to drive cloud adoption at scale?

Join the Advanced Computing team as a Business Development Specialist focused on HPC EDA Workloads. This role is at the forefront of helping semiconductor companies modernize their chip design and verification workflows by migrating mission-critical EDA workloads to AWS. You will work with leading semiconductor companies to architect, optimize, and scale their most demanding compute-intensive design flows on AWS infrastructure.

You will lead the global go-to-market strategy for HPC EDA workloads, working directly with semiconductor design houses, fabless companies, and integrated device manufacturers to understand their EDA infrastructure needs, demonstrate the value of cloud-based design environments, and help them transition from on-premises HPC clusters to AWS. Internally, you will partner with AWS service teams (EC2, ParallelCluster, Batch, FSx for Lustre, and others),, engineering, marketing, professional services, partner teams, and sales leadership to influence roadmaps, ensure alignment, and scale execution.

Your work will span from technical deep-dives with chip design teams at Global 500 semiconductor companies to capacity planning sessions with AWS service teams, to keynote presentations at industry conferences like DAC, DVCon, and SEMICON. You will be the bridge between the semiconductor industry's most complex computational challenges and AWS's most advanced cloud infrastructure capabilities.

You are a leader for specialists, architects, partners, and account teams around the world, setting direction and standards for how AWS approaches EDA workload migrations. You bring the voice of the customer into our product development roadmap and help AWS and its customers navigate the transition from traditional on-premises HPC environments to cloud-native EDA design flows.

Key job responsibilities

• Lead the HPC EDA workloads GTM strategy, orchestrating sales motions across sales, marketing, partner, product, and professional services teams to accelerate adoption of AWS for semiconductor design workloads.
• Define and articulate the vision for next-generation cloud-based EDA infrastructure that addresses the unique requirements of frontend and backend chip design, verification, and signoff workflows.
• Work directly with semiconductor customers to understand their EDA workload requirements, including memory-intensive backend design stages requiring high-memory instances, and architect scalable solutions on AWS.
• Bring market signals, competitive intelligence, and customer feedback back to product teams to drive innovation on AWS product roadmaps, particularly for EDA-specific instance types.
• Serve as an evangelist and thought leader for HPC EDA workloads on AWS, credibly representing AWS at industry events and in customer engagements with Field, Sales teams.
• Build and maintain relationships with EDA ISV partners to ensure tool compatibility, optimize performance, and create joint go-to-market initiatives.
• Leverage deep domain expertise in EDA tools HPC orchestrators and semiconductor design flows to create field enablement content, sales strategies, and reference architectures.
• Own reporting and planning cadences executives on GTM plan execution, pipeline health, capacity constraints, progress toward EDA workload expansion targets.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• Experience conveying complex technical concepts to both technical and business audiences
• 7+ years of Go-To-Market, Business Development, Sales, or Consulting experience in the semiconductor or EDA industry
• 5+ years of experience with High Performance Computing (HPC) infrastructure. Experience with cloud computing concepts and architecture, particularly as they relate to compute-intensive and memory-intensive workloads
• Experience working with Electronic Design Automation (EDA) tools and workflows, including frontend design (RTL, synthesis, simulation) and/or backend design (place and route, timing closure, signoff)
• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent experience

Preferred Qualifications

• Experience developing strategies that influence leadership decisions at the organizational level
• Experience with major EDA tools from Synopsys, Cadence Siemens or Ansys
• Knowledge of EDA-specific infrastructure requirements including high-performance shared storage, license management, and data security. Experience with semiconductor companies, design houses, or EDA ISV partners
• Master's degree in Electrical Engineering, Computer Engineering, or a related field with focus on VLSI design, computer architecture, or semiconductor manufacturing

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

• USA, CA, East Palo Alto - 162,700.00 - 220,200.00 USD annually
• USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
• USA, CA, Santa Clara - 162,700.00 - 220,200.00 USD annually
• USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually
• USA, MA, Boston - 147,900.00 - 200,100.00 USD annually
• USA, NY, New York - 162,700.00 - 220,200.00 USD annually
• USA, TX, AUSTIN - 147,900.00 - 200,100.00 USD annually
• USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually
• USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually