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Job description
Description
At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.
Description
At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you. What's in it for you? An internship at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.
About The Team
Annapurna Labs designs the custom silicon at Amazon - including Graviton (our server processors), Trainium and Inferentia (our machine learning training and inference accelerators), and the Nitro system that powers modern EC2. We own the full stack, from silicon through the software that makes it work (compilers, runtimes, drivers, and the frameworks that let customers run workloads on our hardware). As an ASIC Engineer I, you'll write the programs that turns custom silicon into products used by millions.
RTL design for machine learning accelerators (Trainium/Inferentia)
Design verification and functional validation
Physical design, timing closure, and place-and-route
SoC integration and chip architecture
Annapurna Has ASIC Teams Across a Range Of Products And Disciplines, And We Work To Place You On a Technical Team Aligned With Your Interests And Strengths. Example Teams And Focus Areas Include
Throughout the interview process, we will partner with you and our hiring managers to match you to a team where your background and interests fit best, so your responsibilities are something you're genuinely excited to work on.
As an ASIC Engineer I, you'll contribute to real chip development work, which may include:
Designing and implementing RTL for digital logic blocks using Verilog/SystemVerilog
Developing and running verification environments to validate design functionality and coverage
Supporting synthesis, timing analysis, and physical design flows
Debugging design issues through simulation and analysis
Collaborating with architecture, verification, and physical design teams to take features from specification to silicon
Documenting your design decisions and presenting your work to the team
Basic Qualifications
Bachelor's or Master's degree program in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a final graduation date of May 2027 or earlier
Coursework or project experience in digital logic design and computer architecture
Familiarity with a hardware description language (Verilog, SystemVerilog, or VHDL)
Understanding of fundamental digital design concepts: combinational and sequential logic, finite state machines, timing, and clocking
Preferred Qualifications
Bachelor's or Master's degree with a focus on VLSI, digital design, or computer architecture
Experience with industry-standard EDA tools (Cadence, Synopsys, or equivalent)
Scripting experience (Python, Perl, TCL, or shell) for automation and design flows
Prior internship, research, or lab experience in chip design, embedded systems, or hardware development
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching.
The starting pay for this position is listed below. Learn more about our benefits at
Austin, TX, USA - 116,100.00 USD Annually
Cupertino, CA, USA - 133,600.00 USD Annually
Seattle, WA, USA - 116,100.00 USD Annually
Company
Annapurna Labs (U.S.) Inc. - D63
Job ID: A
#J-18808-Ljbffr
Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.