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Embedded Software Engineer, Annapurna ML Software

Job in Austin, Travis County, Texas, 78716, USA
Listing for: SupportFinity™
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Embedded Software Engineer, Annapurna ML Software

Amazon Web Services (AWS) |

Amazon Web Services (AWS) | Posted Feb 19, 2026

Full-time

Austin

Unknown

Embedded software engineer role focused on designing and developing core software for Neptune and Trainium ML platforms.
Responsibilities include:

  • Architect and develop mission‑critical software that powers Annapurna Labs’ next‑generation machine learning platforms
  • Collaborate with EC2 teams and manufacturing partners to ensure seamless system integration
  • Drive end‑to‑end qualification processes for new software implementations
  • Craft high‑performance solutions using C/C++ running on Linux

A day in the life

You’ll design and develop the software and firmware that drives Neuron Switches—the high‑performance interconnect fabric for Trainium chips. You’ll work closely with EC2, Annapurna Labs teams and manufacturing teams to bring up new hardware, debug board‑level issues and optimize data paths. Your tasks will include writing device drivers, building ML infrastructure, implementing switch‑fabric control logic and developing tooling for testing, qualification and production deployment.

This is hands‑on systems work from initial hardware bring‑up through manufacturing scale‑up.

About the Team

The Annapurna ML Software team builds the software and firmware that powers Neuron Switches—AWS’ next‑generation switching infrastructure forming the high‑performance interconnect fabric for Trainium 3 chips. We focus on mission‑mode control of sensors, board‑level hardware, and the critical data paths that enable chip‑to‑chip communication  work spans device drivers, switched fabric and everything in between—from debug and testing through qualification and manufacturing.

We work at the hardware‑software boundary where silicon meets systems. While ML engineers optimize models and algorithms we ensure the underlying infrastructure can move data at the speeds those workloads demand. If you’re excited about low‑level systems programming, hardware bring‑up and building the foundation that makes next‑generation AI possible, this is the team for you.

Basic Qualifications
  • 3+ years of non‑internship professional software development experience
  • 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language
Preferred Qualifications
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor’s degree in computer science or equivalent

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:
The duties of this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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.

Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 &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.

Learn more about our benefits at (Use the "Apply for this Job" box below)..

USA, CA, Cupertino –  –  USD annually

USA, TX, Austin –  –  USD annually

Company – Annapurna Labs (U.S.) Inc.

Job : A3171738

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