Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world‑class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Engineer to help us trail‑blaze new technologies and architectures, while ensuring high design quality and making the right trade‑offs.

Key job responsibilities

• Develop and implement high‑performance, area and power‑efficient RTL designs to meet project specifications and targets.
• Conduct in‑depth analysis of designs, microarchitectures, and architectures to optimize trade‑offs between features, power consumption, performance, and area requirements.
• Implement SystemVerilog RTL, and deliver synthesis and timing‑clean designs with appropriate constraints. Execute lint and CDC checks to ensure design integrity.
• Collaborate closely with cross‑functional teams, including architects, fellow designers, verification specialists, pre‑ and post‑silicon validation teams, and synthesis, timing, and back‑end experts.
• Lead and design to meet requirements or solve a system problem at a product or product family level.
• Take the lead on projects and partner with management & cross‑discipline engineers to deliver solutions, mitigate long‑term risks, find a path forward in difficult situations, make trade‑offs between short‑ and long‑term needs, mentor, and perform hiring decision assessments.

Desired candidate profile

The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem‑solving skills. Experience with high‑performance and power‑efficient designs is highly desirable.

You will thrive in this role if you:

• Have a "Learn and Be Curious" mindset.
• Have familiarity with accelerator design, interconnects, DMAs, memory subsystems, CPU cores, SIMDs, debug and system‑level architectures.
• Have a strong drive to innovate, explore new solutions, and contribute to the company’s intellectual property through patents.

About the team

Inclusive Team Culture: Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee‑led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences.

Work/Life Balance: Our team puts a high value on work‑life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life‑long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better‑rounded professional and enable them to take on more complex tasks in the future.

We are open to hiring candidates to work out of one of the following locations: Cupertino, CA, USA | Austin, TX, USA

Basic Qualifications

• Bachelor's degree, or Master's degree
• 10+ years of programming with at least one software programming language experience
• Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

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