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ASIC Engineer I, Annapurna Labs, Early Career - 2027
ASIC Engineer I, Annapurna Labs, Early Career - 2027 at Amazon scores 85 out of 100 on AI centrality, which makes it a Level 4 role on this board.
AI in this role
Design and verify RTL for custom machine learning training and inference accelerators.
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.
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:
- 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
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
Austin, TX, USA - 116,100.00 USD Annually
Cupertino, CA, USA - 133,600.00 USD Annually
Seattle, WA, USA - 116,100.00 USD Annually
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where rtl design was part of your work. What did you do?
- Tell me about a project where asic was part of your work. What did you do?
- Tell me about a project where digital logic was part of your work. What did you do?
- Tell me about a project where verification was part of your work. What did you do?
- Walk me through how you've used Verilog in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Rtl Design, Asic, Digital Logic, Verification, and Verilog. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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