Software Development Engineer III, Annapurna Labs (AWS)

Amazon

New York (NY)

On-site

USD 184,900 - 250,200

Full time

14 days+

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Benefits offered by this job

RSUs
Health insurance
401(k) matching
Sign-on payments
Paid time off
Parental leave

Job summary

Amazon Annapurna Labs in New York, NY is seeking a technical lead to drive the GenAI initiative around Neuron and Trainium. You will lead a team building agents, tools and models to accelerate customer adoption of Neuron and the ML silicon stack.

You will guide vision, strategy and execution across software and ML compiler related work, mentoring engineers and ensuring high availability, performance and security across complex AI workloads.

Qualifications

  • 5+ years leading design or architecture of software systems.
  • 5+ years full software development lifecycle experience.
  • Hands-on Generative AI experience and ability to present complex tech to executives.
  • Experience mentoring teams and leading engineering groups.
  • Experience with ML compilers or GenAI model architecture is a plus.

Responsibilities

  • Research implementations delivering best experiences for customers.
  • Improve porting/optimisation of ML workloads on Neuron.
  • Solve challenging technical problems across the stack.
  • Design, implement, test, deploy and maintain software to improve performance, durability, cost and security.
  • Build high-quality, highly available products.
  • Potentially contribute IP via patents.
  • Mentor others and support career development.
  • Exert technical influence to boost team productivity.

Skills

Design leadership
Full SDLC experience
Mentor / tech lead
GenAI / ML space
Communication to executives
ML compilers / model architecture

Education

Master’s degree in computer science or equivalent

Job description

About the Team

The Neuroboros team was recently created to 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 is an organization within AWS UC responsible for building innovation in silicon and software for our AWS customers. We combine cloud scale with the world’s most talented engineers across disciplines including silicon engineering, hardware design, software and operations. Our work has improved AWS cloud infrastructure in high‑performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA) and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.

About AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, serving startups to Global 500 companies.

About AWS Neuron

AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best‑in‑class ML inference performance at the lowest cost, while Trainium delivers superior training performance. Neuron includes a ML compiler and native integration into popular ML frameworks. Our products are used at scale with external customers such as Anthropic and Databricks and internal teams such as Alexa, Bedrock, Robotics, Ads and Rekognition.

Job Summary

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. As a technical lead you will drive the team’s vision and strategy in this critical space.

Key Job Responsibilities
  • Research implementations that deliver the best possible experiences for customers.
  • Improve the time and effort it takes to port and optimise machine learning workloads on Neuron.
  • Solve challenging technical problems 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.
  • Mentor others and assist in the career development of team members.
  • Exert technical influence to increase team productivity and effectiveness.
Basic Qualifications
  • 5+ years of leading design or architecture of new and existing systems.
  • 5+ years of full software development life cycle 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.
  • Hands‑on technical experience 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 ML compilers, production coding agents, GenAI model architecture, model training, neural network optimisation, or applied mathematics.
Preferred Qualifications
  • Master’s degree in computer science or equivalent.
  • 2+ years in machine learning or other computational modelling environments with emphasis on hosting, building or optimising models for diverse hardware platforms.
  • Proven track record in building AI agents that automate ML workload optimisation, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimisation.
  • Experience working with open‑source software communities in the optimisation space.
  • Domain‑level knowledge of AWS services.
  • Knowledge of state‑of‑the‑art technology used in the machine learning space and its mathematical underpinning.
Equal Opportunity Employer

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or any other legally protected status.

Benefits and Salary

The base salary range for this position is 184,900.00–250,200.00 USD annually in NY, USA. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement) and 401(k) matching, paid time off and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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