Software Development Manager, LLM Inference Model Enablement, Neuron SDK

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 213,000 - 288,000; Full time

Benefits offered by this job

Health insurance (medical/dental/vison

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Annapurna Labs (U.S.) Inc. is seeking an SDM for the LLM Inference Model Enablement team to guide a seasoned AI/ML engineering group.

You will onboard and optimize state-of-the-art LLMs for inference on Trainium accelerators, while advancing performance, usability, and tooling across the PyTorch inference library, Neuron compiler, runtime, and collectives. You will partner with senior leaders to plan model enablement and performance optimization for latest SOTA LLMs, drive onboarding

Qualifications

• 3+ years of engineering team management experience.
• 7+ years of working directly within engineering teams experience.
• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems.
• Experience partnering with product or program management teams.

Responsibilities

• Management and execution against project plans and delivery commitments
• Manage the day-to-day activities of the engineering team
• Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team
• Report on status of development, quality, operations, and model performance to management

Skills

Engineering team management

Engineering teams experience

System design & architecture

Product/PM collaboration

Job description

Description

We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize LLMs to run really fast on the Trainium hardware.

As an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation.

The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives.

Key job responsibilities

• Management and execution against project plans and delivery commitments
• Manage the day-to-day activities of the engineering team
• Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team
• Report on status of development, quality, operations, and model performance to management

A day in the life

You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers.

Meanwhile, lead the team to continue improving the model onboarding experience, as well as enhancing inference usability and quality for Neuron-supported models.

You will manage changing priorities as new models and new technologies emerge, and you adapt your team’s work to manage them. You will dive deep to help your team solve technical challenges.

Basic Qualifications

• 3+ years of engineering team management experience
• 7+ years of working directly within engineering teams experience
• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• Experience partnering with product or program management teams

Preferred Qualifications

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 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.

USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually

Company

- Annapurna Labs (U.S.) Inc.

Job ID: A10481437