Amazon Web Services (AWS) · 1 week ago
Sr. Manager - SoC Virtual Platform Modeling, ML Acceleration - Annapurna Labs
Amazon Web Services (AWS) is seeking a Sr. Manager for their SoC Virtual Platform Modeling team at Annapurna Labs. The role involves leading a team in developing functional models for custom ML acceleration SoCs, mentoring team members, and driving product and feature development while collaborating with various internal teams.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
Responsibilities
Lead the team responsible for developing SoC models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug
Mentor and develop the team, while hiring top talent to continue scaling
Lead new product and feature development both at a high level and in the trenches - this is a hands-on role, and you’ll be expected dive into technical issues and the codebase head-first
Work closely with architecture, RTL design, design verification, emulation, and software teams to build, debug, and deploy your models
Focus on customer needs and use-cases to improve our models’ quality, delivery speed, and usefulness within AWS
Develop mechanisms and infrastructure to enable the team to build high quality, maintainable, well documented, modular, and testable software
Qualification
Required
7+ years of engineering team management experience
15+ years of non-internship professional software development experience writing functional or performance models for SoCs, CPUs, GPUs, and/or ASICs
Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture
Experience building large-scale, OOP software projects in C++ and/or SystemC
Preferred
Experience designing and developing large scale, high-traffic applications
Experience hiring, developing and promoting engineering talent
Experience running metrics reports, analyzing data to identify problems and using data analysis to generate and explain metrics
Experience in computer architecture, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Experience building high-performance / multi-threaded / distributed software systems
Experience developing and calibrating performance models for custom silicon chips
Experience building test regression and continuous integration frameworks and tooling
Experience using AWS EC2 servers for development
Benefits
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
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