ASIC Formal Verification Engineer I, Annapurna Labs

Amazon is hiring an ASIC Formal Verification Engineer I, Annapurna Labs in Austin, United States. It pays $116k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions Verilog, System Verilog and formal verification among its tools and skills.
Level classes it as a junior role.
Amazon has 21,000+ other open roles on Level.
Posted within the past week.

AI in this role

Design and verify critical hardware modules for machine learning acceleration chips using formal methods and model checkers.

verilogsystem-verilog

formal-verificationhardware-designasicmachine-learning-acceleration

In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration. We get our hands dirty, from creating our own silicon, pushing the electrons in the right direction, ensuring our hardware is functional and healthy, and managing the full lifecycle of our systems at the huge scale and complexity of AWS. If you're interested in "building a complete product" from inception to delighted customers, Annapurna is a fantastic choice.
As a member of the Machine Learning Acceleration team you will be responsible for defining and checking the specification of critical hardware modules using formal methods and industrial model checkers.
You will be a part of a world class pre-silicon hardware design team. The job entails understanding requirements of specific hardware blocks and writing functional descriptions of correct behavior. Specifications are written in hardware description languages like Verilog and System Verilog Assertions (SVA). Using industrial model checkers you will then learn techniques for proving the hardware being designed matches the modeled specification. Advances proof techniques, such as modeling abstractions, and inductive reasoning will be utilized. Automation techniques and scripting flows are also leveraged to accelerate proof techniques.
About the team
Mentorship & Career Growth
Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.
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, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Harmony
Our team puts a high value on work-life harmony. 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 and encourage you to find your own balance between your work and personal lives.

Basic qualifications

• To qualify, applicants should have earned (or will earn) a Bachelors or Masters degree
• Completed coursework or prior internship experience with formal methods (SW/HW)
• Coursework or prior internship experience in the basics of computer architecture.

Preferred qualifications

• Experience or previous technical internship(s) with hardware model checkers: JasperGold, or VC Formal.
• Experience or previous technical internship(s) with RTL Verilog.
• Knowledge of formalization techniques.
• Experience with scripting languages, such as Python, or TCL.
• Ability to effectively articulate technical challenges and solutions
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly

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

How we rate this

ASIC Formal Verification Engineer I, Annapurna Labs at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

ASIC Formal Verification Engineer I, Annapurna Labs is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $116k a year.
The role is based in US, TX, Austin.
The job was posted on October 22, 2026.
Seniority: junior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Formal VerificationHardware DesignAsicMachine Learning AccelerationVerilogSystem Verilog

Questions you could be asked

Tell me about a project where formal verification was part of your work. What did you do?
Tell me about a project where hardware 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 machine learning acceleration 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: Formal Verification, Hardware Design, Asic, Machine Learning Acceleration, 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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