Amazon · 4 months ago
Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs
Annapurna Labs, part of Amazon Web Services (AWS), is focused on accelerating deep learning and GenAI workloads with its AWS Neuron software development kit. The Software Engineering Manager for ML Kernel Performance will lead a team to design and implement high-performance compute kernels for machine learning operations while collaborating across various teams to optimize performance for AWS's custom ML accelerators.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models
Analyze and optimize kernel-level performance across multiple generations of Neuron hardware
Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks
Implement compiler optimizations such as fusion, sharding, tiling, and scheduling
Work directly with customers to enable and optimize their ML models on AWS accelerators
Collaborate across teams to develop innovative kernel optimization techniques
Build high-impact solutions to deliver to our large customer base
Participate in design discussions, code review, and communicate with internal and external stakeholders
Work cross-functionally to help drive business decisions with your technical input
Work in a startup-like development environment, where you’re always working on the most important stuff
Qualification
Required
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
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
Experience partnering with product or program management teams
Preferred
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
Benefits
Flexibility in working hours
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Recent News
2026-01-17
2026-01-17
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