Software Engineer ML Acceleration, Annapurna Labs ML Acceleration System Software

Benefits

Parental leave

6 weeks From the posting source

Non-birth-parent leave

6 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$144K-$194K From the posting source

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

45% 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

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer ML Acceleration, Annapurna Labs ML Acceleration System Software Austin, Texas, USA In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We help to maintain and manufacture the most advanced servers in the world. We touch technologies from the accelerator inner-workings to the I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C/C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix

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