> Markdown version of [/jobs/ext/1290086-sr-mla-dv-engineer-cloud-scale-machine-learning](https://www.wearedevelopers.com/jobs/ext/1290086-sr-mla-dv-engineer-cloud-scale-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr MLA DV Engineer, Cloud-Scale Machine Learning... - **Company:** Amazon.com, Inc. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Salary:** $183,000.0 - $247,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Virtual Private Servers, Computer Engineering, Data Centers, Python (Programming Language), Machine Learning, Object-Oriented Software Development, PCI Express, System Testing, SystemVerilog, Scripting, Information Technology - **Published:** July 16, 2026 - **Apply:** https://www.juju.com/job/00000000ggn81i ## About the Role Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields - 8+ years of design verification experience using System Verilog and UVM - 8+ YOE in testbench development including: stimulus, checkers, assertions and coverage Preferred Qualifications - Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing. - Experience using multiple verification platforms. - Experience with C/C++ and Object-Oriented Programming. - Experience with scripting languages, for e.g. Python. - Experience with AMBA protocols, for e.g. AHB/APB/AXI - Experience with interconnect protocols, for e.g. PCIe and UCIe - Experience with memory sub-systems, including cache coherency and synchronization techniques - Experience with verifying complex CPU, GPU, or ML accelerator designs ## Description Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers, Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. ## Related Videos - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [JavaScript? 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