Software Development Engineer, Generative AI, Annapurna Labs - Neuroboros Team

You will join a dynamic team working at the cutting edge of the GenAI revolution

by applying AI to AI. You will work on building agents, tools, and models to

simplify and accelerate customer adoption of Neuron, the software stack

supporting Amazon's Machine Learning silicon: Trainium. Partnering with external

and internal customers, you will identify key obstacles and opportunities to

accelerate their migration to AWS's ML silicon. You will be a key contributor

driving impact by building AI agents and tools that simplify Amazon Neuron

adoption, which is critical to Amazon's Generative AI business.

Key job responsibilities

This role requires collaborating with other Neuron Software teams, Science, AWS

AI Services, external partners and customers with a potential high impact on

Amazon's top and bottom line. As a member of the team applying Generative AI to

accelerate Neuron adoption, you will play a key role in shaping this space with

the following technical 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.

* Build and operate agentic evaluation frameworks, monitoring, and feedback

loops that ensure the correctness, reliability, and continuous improvement of AI

agents

* 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

About the team

We pursue the ambitious goal of leveraging and expanding Generative AI

technologies to help customers benefit from the scale and price/performance

equation offered by Amazon Machine Learning hardware. The creation of the team

in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an

additional hub attracting top talent with varied backgrounds to work on

challenging problems, using and building state-of-the-art tooling.

About Amazon

Annapurna Labs:

Amazon Annapurna Labs team (our organization within AWS UC) is responsible for

building innovation in silicon and software for our Amazon customers. We are at

the forefront of innovation by combining cloud scale with the world’s most

talented engineers. Our team covers multiple disciplines including silicon

engineering, hardware design, software and operations. Because of our team’s

breadth of talent, we have been able to improve AWS cloud infrastructure in

high-performance machine learning with Neuron, Inferentia and Trainium ML chips,

in networking and security with products such as Nitro, Enhanced Network Adapter

(ENA), and Elastic Fabric Adapter (EFA), and in computing with Graviton and F1

EC2 instances.

Basic

Qualifications

• - 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
• - 1+ years of software development engineer or related occupational experience
• - 1+ years of designing and developing large-scale, multi-tiered,
• multi-threaded, embedded or distributed software applications, tools, systems,
• and services using: C#, C++, Java, or Perl experience
• - 1+ years of Object Oriented Design experience
• - Bachelor's degree or foreign equivalent in Computer Science, Engineering,
• Mathematics, or a related field
• - Experience programming with at least one software programming language
• - 3+ years of relevant, broad engineering experience.
• - 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
• - Knowledge of professional software engineering practices & best practices for
• the full software development life cycle, including coding standards, code
• reviews, source control management, build processes, testing, and operations.
• - 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 Qualifications

• - 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 in computer science or equivalent
• - Bachelor's or Master's degree 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
• Amazon is an equal opportunity employer and does not discriminate on the basis
• of protected veteran status, disability, or other legally protected status.
• Our inclusive culture empowers Amazonians to deliver the best results for our
• customers. If you have a disability and need a workplace accommodation or
• adjustment during the application and hiring process, including support for the
• interview or onboarding process, please visit
• https://amazon.jobs/content/en/how-we-hire/accommodations
• [https://amazon.jobs/content/en/how-we-hire/accommodations] for more
• information. If the country/region you’re applying in isn’t listed, please
• contact your Recruiting Partner.
• The base salary range for this position is listed below. Your Amazon package
• will include sign-on payments and restricted stock units (RSUs). Final
• compensation will be determined based on factors including experience,
• qualifications, and location. Amazon also offers comprehensive benefits
• including 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, and parental leave.
• Learn more about our benefits at https://amazon.jobs/en/benefits
• [https://amazon.jobs/en/benefits].
• USA, NY, New York - 158,100.00 - 213,800.00 USD annually