Role & seniority: Validation Engineer (3+ years of non-internship software testing/validation experience) on a ML accelerator team

Stack/tools

Programming: Python, Lua, C/C++, Rust, Go (and related scripting)
Hardware/architecture: PCIe, HBM, GPUs, neural networks, ML HW architecture
Validation methods: RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium), emulation (Palladium, Zebu, Veloce), silicon bring-up, post-silicon validation
Platforms: Linux; AWS services; firmware (BIOS, BMC, drivers); CI/CD

Top 3 responsibilities

Develop and execute comprehensive validation strategies and test plans across functional, performance, power, and stress testing from silicon bring-up to product release
Perform end-to-end validation from RTL simulation/emulation to physical silicon and support production systems in AWS data centers
Collaborate with architecture, RTL, design verification, firmware, and software teams; triage failures and drive root-cause analysis to closure; build test infrastructure and automated regression

Must-have skills

Strong debugging/troubleshooting of hardware and solid computer architecture understanding
3+ years of professional software development/testing experience
Experience with Linux; familiarity with PCIe, HBM, GPUs, ML HW/architecture; CI/CD
Experience with RTL simulation (SystemVerilog/UVM) and emulation (Palladium, Zebu, Veloce)

Nice-to-haves

Machine Learning hardware/software architectur

Full Description

Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference

Your work will span validation of the complete vertical stack—silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on.

Key job responsibilities As a Validation Engineer on our Machine Learning Acceleration team, you'll own critical validation aspects across the entire product development lifecycle—from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple domains—from low-level hardware interfaces to high-level ML workloads—to deliver exceptional results.

We are looking for candidates with

Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)
A solid understanding of computer architecture
Experience with AWS services, cloud infrastructure, firmware development
(BIOS, BMC, drivers)
Validation experience in any of these areas: PCIe, HBM, GPUs, neural networks,
ML HW architecture, and/or CI/CD
Familiarity with the validation lifecycle from RTL simulation
(SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu,
Veloce) through silicon failure analysis and debug

A day in the life

Software Development Engineer II, Post Silicon Validation