Software Development Manager, AWS Neuron Machine Learning Distributed Training, ML Performance

Software Development Manager, AWS Neuron Machine Learning Distributed Training, ML Performance

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the SDM of Software Development for the Machine Learning Distributed Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must.

Responsible for the full development life cycle of our integrations and extensions for inference and training support in Pytorch, XLA, JAX as well as distributed training libraries like FSDP, DDP and others.

Lead the way to ensure support for key ML functionality in a combined chip/software platform and ensure the right thing is being built and delivered to customers.

Key job responsibilities

Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:

1. Solve challenging technical problems, often ones not solved before, at every layer of the stack.
2. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
3. Build high-quality, highly available, always-on products.
4. Research implementations that deliver the best possible experiences for customers.

A day in the life

You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.

About the team

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

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
• 8+ years of leading the definition and development of multi-tier web services experience
• Experience partnering with product or program management teams
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• 3+ Years of Deep Learning/Machine learning experience

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.