Formal Verification Engineer, Annapurna Labs

Amazon is hiring a Formal Verification Engineer, Annapurna Labs in Haifa, Israel. Level rates it ; you can apply on Level.

AI in this role

Annapurna Labs, part of AWS, designs the silicon behind AWS infrastructure, including AWS Graviton processors and the AWS Nitro System. What you prove here runs in millions of servers worldwide.

Formal verification is everywhere in our projects. Each project has hundreds of formal environments, from small blocks with sophisticated data crunching or complex FSMs up to chip-fabric deadlock verification.

The Role:
As a Formal Verification Engineer, you'll own FV for blocks within a Graviton or Nitro subsystem, end to end from architecture to sign-off. You'll work with technical leads and serve as a mentor and knowledge source for other engineers.

Your Ideas Shape the Team:
If a technique works, we adopt it, whoever proposed it. We're pushing AI and agentic flows into everyday verification work, and your ideas will decide how far it goes. Senior engineers on our team are co-inventors on formal verification patents.

What We Offer: A role we count on: formal results drive sign-off decisions, and other teams plan around them

Involvement from day one:
FV engineers join at architecture, define what must be proven, and shape designs to be provable before RTL is written.

A real partnership with design: we define verification intent together

A team where senior FV leaders work alongside early-career engineers who bring energy and fresh ideas.
We like the work, and we like working together.

Key job responsibilities
* Own formal verification of your blocks from architecture through sign-off
* Write the formal plan and define what must be proven
* Build formal environments covering FPV, sequential equivalence, connectivity, X-prop, security, and liveness
* Solve convergence problems with abstraction, invariants, and decomposition
* Report clearly what is proven, what is bounded, and what is still open
* Work with design teams to define verification intent and improve design quality
* Bring new techniques, including AI and agentic flows, into team flows

A day in the life
In this role, you'll engage in pre-silicon verification work that connects every phase of our product development journey- from initial product definition through firmware and software development.
You'll collaborate with hardware designers, software engineers, and cross-functional teams to validate complex semiconductor architectures and protocols.
Your days might include developing and executing verification test plans, analyzing simulation results, troubleshooting design issues, and participating in design reviews.
You'll work with advanced verification methodologies and tools, gaining exposure to cutting-edge technologies that define the next generation of cloud infrastructure.

About the team
We are a collaborative verification team that serves as the connective tissue across our entire product development lifecycle. Our mission is to ensure the reliability and performance of innovative semiconductor platforms that power AWS services globally. We work closely with hardware design, firmware, and software teams to validate complex systems before they reach production. We're committed to continuous improvement and seek opportunities to enhance our verification processes and deliver better solutions to our customers. Joining our team means becoming part of a group dedicated to technical excellence and supporting the infrastructure that enables millions of cloud customers worldwide.

Basic qualifications

- Bachelor's degree in Electrical Engineering or a related field
- Abstraction and complexity-reduction techniques
- Cover-based and semi-formal verification, and helper assertions
- Protocol knowledge: APB, AXI, CHI, networking related
- Experience or strong interest in applying AI to engineering work
- Experience mentoring other engineers

Preferred qualifications

- Knowledge of the following programming languages: Perl/Bash/TCl/Python/
- Knowledge of PCIe, Processors, Ethernet, DDR
- Sound understanding and knowledge of object-oriented programming concepts
- Verilog/SystemVerilog/Specman

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How we rate this

Formal Verification Engineer, Annapurna Labs at Amazon rates 11 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.