Senior Software Engineer - SoC DevOps, MLA-MI - Annapurna Labs

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: Not verified

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

$168K-$227K 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

70% 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

Senior 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

Senior Software Engineer - SoC DevOps, MLA-MI - Annapurna Labs Austin, Texas, USA The Senior SoC Software DevOps Engineer role centers on enabling the rapid and reliable development of software for AWSs most advanced custom machine learning chips. This position is critical to supporting the Trainium and Inferentia families of silicon which power large scale AI training at AWS. The engineer will serve as the primary owner of infrastructure that directly affects how quickly software teams can iterate on code for both pre silicon simulation environments and post silicon production deployments. By building robust automation and tooling the role ensures that tape outs for new chips stay on schedule and that software is ready to function immediately when first silicon becomes available. This work has a direct impact on AWSs ability to deliver advanced ML infrastructure to its largest customers. This role operates at the intersection of hardware and software requiring deep expertise in infrastructure engineering to solve unique challenges such as coordinating releases across isolated environments and validating firmware on real silicon. It is a foundational position for the SoC software teams as it frees engineers from infrastructure burdens allowing them to focus on feature development. Success in this role will be measured by improvements in development velocity release quality and the stability of systems that support multiple teams. The position demands a proactive approach to identifying bottlenecks and a strong ability to operate within novel technical contexts without prior domain knowledge in machine learning or chip design. Key

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