Amazon · 1 day ago
Software Development Engineer, ML Systems, Annapurna Labs
New York, New York, USA
Full-time
Onsite
Mid Level
$158K/yr - $214K/yr
3+ years expAmazon Annapurna Labs is responsible for building innovation in silicon and software for AWS customers. The role involves collaborating with various teams to build tools and models that simplify and accelerate customer adoption of Amazon's Machine Learning silicon.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Build high-impact solutions to deliver to our large customer base
Participate in design discussions, code review, and communicate with internal and external stakeholders
Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers
Work in a startup-like development environment, where you’re always working on the most important stuff
Qualification
Required
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
Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages
Hands-on technical experience working in the Generative AI space
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
Passion for customer experience and usability, including successful delivery of customer self-service tools and automated management/optimization of services, and a strong services orientation
Preferred
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 or above in computer science or equivalent
Knowledge of AWS services
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
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
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon 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
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-22
2026-01-22
2026-01-22
Company data provided by crunchbase