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Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Amazon - Cupertino, California, USA

Posted Mar 27, 2026

Benefits

Parental leave
6 weeks From the posting source checked Jun 20, 2026
Non-birth-parent leave
6 weeks From the posting source checked Jun 20, 2026
Family-building benefits
  • Fertility benefits: Offered From the posting source checked Jun 20, 2026
  • Adoption assistance: Offered From the posting source checked Jun 20, 2026
  • Surrogacy assistance: Offered From the posting source checked Jun 20, 2026
Mental health support
Offered From the posting source checked Jun 20, 2026
Relocation assistance
Not verified
Childcare support
Offered From the posting source checked Jun 20, 2026
Learning budget
Not verified
Verification
Source-linked checked Jun 7, 2026
Salary
$165K-$224K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

67% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Cupertino, California, USA AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible. What you'll do: - Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams - Design models for usability and performance - your customers are software engineers who need to run real workloads on your platform efficiently - Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation - Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity - Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale - Contribute to model architecture decisions - choosing the right level of abstraction and fidelity for each subsystem based on customer needs Why this role is interesting: - You'll own a product that software teams across AWS depend on - they literally can't start development without your virtual platform - The engineering challenges are

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