[Remote] Senior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Note: The job is a remote job and is open to candidates in USA. Amazon Web Services (AWS) is seeking a Senior Virtual Platform Software Engineer for its Annapurna Labs Machine Learning Accelerators team. In this role, you will build and own functional models of SoC subsystems for virtual platforms, enabling software teams to start development ahead of silicon availability while improving simulation performance and usability.ResponsibilitiesBuild and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teamsDesign models for usability and performance — your customers are software engineers who need to run real workloads on your platform efficientlyDevelop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentationWork with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivityDrive simulation performance improvements so the platform can handle increasingly complex workloads at scaleContribute to model architecture decisions — choosing the right level of abstraction and fidelity for each subsystem based on customer needsSkills5+ years of non-internship professional software development experience5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience as a mentor, tech lead or leading an engineering team7+ years of non-internship professional experience writing functional or performance modelsExperience programming with C++ and/or SystemCKnowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architectureBachelor's degree in computer science or equivalentExperience analyzing data and applying best practices to assess performance driversExperience developing models that integrate with QEMUExperience developing and calibrating performance models for custom silicon chipsExperience with PyTest and GoogleTestFamiliarity with modern C++ (11, 14, etc.)Experience in multi-threaded programmingExperience with machine learning accelerator hardware and/or softwareBenefitsSign-on paymentsRestricted stock units (RSUs)Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)401(k) matchingPaid time offParental leaveCompany OverviewLaunched 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. It was founded in 2002, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is http://aws.amazon.com.Company H1B SponsorshipAmazon Web Services (AWS) has a track record of offering H1B sponsorships, with 3262 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.