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About the Role
Join a focused group whose mission is discovering and eliminating waste across every layer of the compute stack. You will work at the intersection of hardware and software, from GPU memory management in generative AI inference pipelines to DRAM allocation patterns deep inside language runtimes, storage subsystem inefficiencies, and CPU scheduling behaviors at hyper-scale.
Responsibilities
- Apply first-principles analysis across CPU, DRAM, GPU, storage, I/O, and networking layers to uncover optimization opportunities.
- Design and lead rigorous investigations to establish root causes and produce actionable findings with broad impact.
- Build proof-of-concept implementations for novel efficiency approaches such as memory compression and smart over-subscription.
- Develop repeatable patterns and practices that translate individual findings into fleet-wide optimization playbooks.
- Quantify business impact at Amazon scale, connecting technical insights to capacity freed, dollars saved, and customer experience improved.
- Collaborate across organizational boundaries where opportunities often live at the intersection of teams, systems, and technology stacks.
- Contribute findings to internal profiling tools, automated optimization agents, and engineering guidance.
- Directly influence how Amazon reasons about performance engineering and capacity efficiency at scale as a founding member of the Efficiency Red Team.
Requirements
- 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.
- 7+ years of professional experience in systems programming, performance engineering, or infrastructure optimization.
- Deep proficiency in at least one systems language (C, C++, Rust, or Java).
- Hands-on experience with performance profiling and analysis tools.
- Demonstrated ability to conduct root cause analysis across multiple layers of the compute stack (CPU, memory, storage, networking).
- Track record of delivering measurable performance improvements in production systems at scale.
- Experience with GPU profiling and optimization (CUDA, GPU memory management, inference pipeline tuning).
- Familiarity with generative AI infrastructure including model serving, training pipelines, and token economics.
- Experience with language runtime internals (JVM garbage collection tuning, memory management design, or equivalent).
- Background in capacity planning, fleet management, or infrastructure economics at hyper-scale.
- Contributions to open source performance tools or published research in systems performance.
Skills
- Systems programming
- Performance engineering
- Infrastructure optimization
- C
- C++
- Rust
- Java
- Performance profiling
- Root cause analysis
- GPU profiling
- CUDA
- Generative AI infrastructure
- Language runtime internals
- Capacity planning
- Fleet management
- Infrastructure economics
Location
- Vancouver, BC, Canada
- Toronto, ON, Canada
Work Type
- Onsite
Experience Level
- 7+ years professional experience
- 5+ years leading design or architecture
Education Level
- Bachelor's degree in computer science or equivalent
Salary/Compensations
- 150,700.00 - 251,700.00 CAD annually
Benefits
- Health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
- Registered Retirement Savings Plan (RRSP)
- Deferred Profit Sharing Plan (DPSP)
- Paid time off
- Other resources to improve health and well-being
About the Company
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 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.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.