HPC-EDA Technical GTM Specialist - Wwso HPC Team

Description

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.



About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS). We work backwards from our customers’ most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include BD specialists and technical solutions architects, providing expertise to customers.
Within WWSO, the HPC team is part of the Compute & Advanced Computing Specialist team that focuses on architectures and solutions to orchestrate and scale the most demanding compute-constrained customer workloads and use cases, with particular emphasis on semiconductor design and EDA workloads.

About AWS
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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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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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. Learn more about our benefits at https://amazon.jobs/en/benefits.