Amazon Web Services (AWS) · 1 day ago
Software Development Engineer III, Annapurna Labs
New York, NY
Full-time
Onsite
Senior Level
$185K/yr - $250K/yr
5+ years expAmazon Web Services (AWS) is at the forefront of cloud computing innovation, and they are seeking a Software Development Engineer III to join the Neuroboros team. This role involves building AI agents and tools to simplify customer adoption of AWS's Machine Learning silicon, specifically focusing on the Neuron software stack.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
Responsibilities
Research implementations that deliver the best possible experiences for customers
Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron
Solve challenging technical problems, often ones not solved before, at every layer of the stack
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security
Build high-quality, highly available, always-on products
Potentially contribute intellectual property through patents
Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members
Exert technical influence over the team, increasing their productivity and effectiveness by sharing your deep knowledge and experience
Qualification
Required
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience as a mentor, tech lead or leading an engineering team
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
Hands-on technical experience working in the Generative AI space
Excellent written and verbal communication skills with the ability to present complex technical information concisely to executives and non-technical leaders
Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math
Preferred
Master's degree in computer science or equivalent
Master's degree or above in computer science or equivalent
2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms
Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization
Experience working with open-source software communities in the optimization space or related areas
Domain-level knowledge of AWS services
Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning
Benefits
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
Parental leave
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
2026-01-22
Mexico Business
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2026-01-22
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