Amazon Sr ML Compiler Engineer AWS Neuron Annapurna Labs 

Canada, Ontario, Old Toronto 

267863087

Key job responsibilities
Our performance engineers collaborate across compiler, runtime, and framework teams to optimize machine learning workloads for our global customer base. Working at the intersection of machine learning, high-performance computing, and distributed systems, you'll bring a passion for performance analysis, distributed systems, and machine learning. In this role, you will:- Analyze and optimize system-level performance of machine learning models across the entire technology stack, from frameworks to runtime
- Conduct detailed performance analysis and profiling of ML workloads, identifying and resolving bottlenecks in large-scale ML systems
- Work directly with customers to enable and optimize their ML models on AWS accelerators, understanding their specific requirements and use cases
- Design and implement compiler optimizations, transforming manual performance improvements into automated compiler passes- Work in a startup-like development environment, where you’re always working on the most important stuffA day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSWork/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ 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
- Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators.
- Experience with System Level performance analysis and optimization
- Experience with LLVM and/or MLIR
- Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms.