Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS
- Pay
- $143,700 – $223,600 per year
- Location
- Cupertino, CA
- Listed
- Today
About the role
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
- Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation
- Design models for usability and performance - your customers are software engineers who need to run real workloads on your platform efficiently
- 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 genuinely interesting: full-system simulation, multi-subsystem integration, QEMU development, performance optimization at scale
- You'll see the direct impact of your work when software teams hit the ground running on new silicon
- As the team grows, there's a path into architectural modeling - using the platform to explore design alternatives and influence chip architecture
- Small team, startup pace, big impact inside AWS's custom silicon org
You will thrive in this role if you
- Have built functional models, virtual platforms, or system-level simulations for SoCs, ASICs, GPUs, or CPUs
- Think of yourself as a software engineer first, with deep domain knowledge in chip architecture
- Are comfortable in C++ or SystemC, and familiar with Python for tooling
- Care about your customers' experience - you think about usability, documentation, and reliability, not just model accuracy
- Are interested in expanding into performance or architectural modeling as the team scales
- Enjoy working on a small, high-impact team where you own significant pieces of the stack
- No ML background needed. You'll learn the ML accelerator domain on the job.
- This role can be based in Cupertino, CA or Austin, TX.
Basic Qualifications
- Experience programming languages such as C/C++, Python, Java or Perl
- 2+ years writing functional models, virtual platforms, or system-level simulations for hardware (SoCs, ASICs, GPUs, CPUs)
- Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture
Preferred Qualifications
- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience developing for or integrating with QEMU
- Experience with SystemC, TLM, or transaction-level modeling
- Experience building simulation infrastructure, CI pipelines, or release tooling
- Familiarity with Modern C++ (20 and beyond)
- Experience with PyTest, GoogleTest, or similar test frameworks
- Experience with multi-threaded programming
- Familiarity with firmware, driver, or runtime software development
Additional information
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Pay and benefits
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers 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) matching, paid time off, and parental leave.
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
Equal opportunity and legal notices
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation.
Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
From Annapurna Labs (U.S.) Inc.'s careers page, first listed on Rolev.ai on November 9, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS role at Annapurna Labs (U.S.) Inc.?
The Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS posting at Annapurna Labs (U.S.) Inc. states compensation of $143,700 – $223,600 per year. Final pay may depend on location, experience, and interview evaluation on Annapurna Labs (U.S.) Inc.'s official career site.
Where is the Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS job at Annapurna Labs (U.S.) Inc. located?
This Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS position at Annapurna Labs (U.S.) Inc. is located in Cupertino, CA. Always check Annapurna Labs (U.S.) Inc.'s application page for specific state eligibility or relocation policies.
How do I apply for the Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS position at Annapurna Labs (U.S.) Inc.?
This listing links directly to Annapurna Labs (U.S.) Inc.'s application page. You can apply directly on Annapurna Labs (U.S.) Inc.'s site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.