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

Annapurna Labs (U.S.) Inc.; New York (NY); On-site; USD 170,000 - 260,000; Full time

Job summary

Annapurna Labs in New York is seeking a software engineer to advance GenAI workloads on Neuron and Trainium, building agents and tools that accelerate customer adoption of the Neuron stack.

You will collaborate with customers and internal teams to design, implement, test and deploy scalable, reliable services that boost performance and security for AI workloads on AWS hardware.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years designing or architecture (design patterns, reliability and scaling) of new and existing systems.
• 1+ years of software development engineer or related 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.
• 1+ years of Object Oriented Design experience.
• Hands-on technical experience in Generative AI space.
• Knowledge of SDLC best practices (coding standards, code reviews, source control, build, testing, operations).
• Experience in ML compilers, GenAI model architecture, model training, neural network optimization or related areas.

Responsibilities

• Research implementations that deliver the best possible experiences for customers.
• Deliver on goals to improve the time and effort to port and optimize ML workloads on Neuron.
• Build and operate evaluation frameworks, monitoring, and feedback loops for AI agents.
• Design, implement, test, deploy and maintain software solutions to improve service performance, durability, cost, and security.
• Build high-quality, highly available, always-on products.
• Potentially contribute intellectual property through patents.

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

C#

C++

Java

Perl

Job description

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

• 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 workloa