Senior Software Dev Engineer, EC2 Nitro

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

$168K-$227K 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)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

77% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

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

Role

Role function

Data From the posting source

Seniority

Senior 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

Senior Software Dev Engineer, EC2 Nitro Seattle, Washington, USA Join the EC2 Nitro Machine Learning Systems team to revolutionize supercomputing in the cloud. We're seeking an experienced Software Development Engineer to build and optimize infrastructure powering the most computationally intensive AI/ML workloads. In this role, you'll establish EC2 as the definitive source for best-known-configurations across diverse ML applications while influencing future accelerated platform designs. You'll bring deep expertise in ML systems performance, working across the full stack from low-level hardware optimization to high-level frameworks. This position offers unique opportunities to translate state of the art ML research into practical platform improvements, build foundational measurement infrastructure, and directly support customers with performance challenges. If you're passionate about solving complex performance optimization problems at massive scale while directly influencing product strategy, this role provides the perfect opportunity to make a significant impact. Key job responsibilities - Design and implement scalable performance measurement infrastructure that serves as the foundation for ML benchmarking across AWS, incorporating critical metrics like tokens/second, latency, and accelerator utilization - Lead technical projects establishing EC2 as the definitive source for ML performance best practices across diverse applications including LLMs, multimodal systems, and emerging model architectures - Develop and maintain comprehensive regression testing systems that validate performance across major component releases including frameworks, firmware, drivers, and networking infrastructure - Collaborate with hardware engineering teams to influence future accelerator platform designs based on performance insights gathered from state-of-the-art research and customer workloads - Build customer relationships by investigating complex performance challenges,

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