Jobs in Canada

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Added 6 mins ago
Senior Manager - Program & Project Management
LTM
ON · Ontario, Canada
$81,215 to $133,000 USD / year
Full-time
…backbone of our Artificial Intelligence program partnering with Data Science Engineering and Product teams to translate business objectives into scalable AI solutions The ideal candidate…
Added 6 mins ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)
Added 6 mins ago
Golang Engineer
Jobright.ai
Canada
Full-time
…searching and helps users reach better job outcomes. The Golang Engineer develops and maintains Go services, APIs, database and external service integrations, automated tests, and…
Added 6 mins ago
Customer Service Quality Manager
Merrithew®
Toronto, ON · Scarborough, ON
$75,000 to $100,000 CAD / year
Full-time
Added 6 mins ago
Senior Full Stack Engineer – AI/LLM
Prolifics
Montreal, QC
Contract
We are looking for an experienced engineer with strong full-stack development skills and hands-on experience building AI/LLM-enabled enterprise applications.
Added 6 mins ago
Senior AI Engineer
Affinity
Richmond, BC
Contract
On behalf of our public sector client, Affinity is seeking a Senior AI Engineer to design, develop, and support AI/ML solutions that leverage generative AI and retrieval-augmented…
Added 6 mins ago
Senior Software Development Engineer, AWS Field Experiences AFX
Amazon Web Services (AWS)
Vancouver, BC
Full-time
…passionate, innovative, results-oriented Senior Software Development Engineer to design and build the services that make it simpler for our field team to manage, maintain, and operate at…
Added 23 mins ago
Senior Product Manager
GoBolt
Toronto, ON
Featurebase: Voice-of-customer capture and a transparent, data-driven feedback loop
Added 23 mins ago
SecOps Engineer
CSC Generation
Toronto, ON
Full-time
…transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience,…
Added 23 mins ago
Customer Quality and Service Supervisor
Merrithew International Inc.
Scarborough Bluffs Park, ON
Full-time
Added 36 mins ago
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 36 mins ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 36 mins ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 36 mins ago
Senior AI Engineer (ID#5540)
New Value Solutions
Richmond, BC
Contract
The Senior AI Engineer will work with structured and unstructured data to build scalable AI solutions, train and optimize models, develop retrieval and graph-based capabilities, and deploy…
Added 52 mins ago
Senior Performance Engineer, Efficiency Red Team
Amazon
Toronto, ON · Vancouver, BC
…who move fluidly across the entire compute stack. The same engineer might profile CPU cache behavior in a traditional workload one week and analyze token throughput in a GPU inference…
Added 52 mins ago
Principal AI Engineer - Context - Agents and Context
Elastic
Canada
As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and…
Added 1 hour ago
Risk Observability & Analytics Engineer
J&M Group
Montreal, QC
Contract
Core Profile: Senior Analytics/Data Engineer with 5+ years experience, combining Data Engineering, BI, AI, Automation, and Technology Risk.
Added 1 hour ago
Machine Learning Engineer
Dasro Consulting Inc.
Calgary, AB
Contract
Responsible for building and optimizing ML models and data pipelines
Added 1 hour ago
Java Engineer
Jobright.ai
Canada
Full-time
…process and helps users reach better job outcomes. The Java Engineer develops and maintains backend services, APIs, database integrations, tests, and technical documentation while…
Added 1 hour ago
Engineering Co-op Student - January 2027
Hudbay Minerals
Princeton, BC
$65,624 to $68,744 CAD / year
Reporting to the Senior Mine Engineer, Technical Services, the Engineering Co-op Student will apply their engineering knowledge to support both Engineering and Operations teams. As a member…
Added 1 hour ago
Lead Test Engineer
Genesys
Toronto, ON · ON · AB · BC
Full-time
…experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger…
Added 1 hour ago
QUALITY ENGINEER
Magna International
Concord, ON
Full-time
ASQC certification as a Quality Engineer (CQE) preferred
Added 1 hour ago
Senior Python Engineer (AI skills)
Luxoft
Toronto, ON
Contract
…This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver…
Added 1 hour ago
Data Engineer
SGS Consulting
Canada
Contract
Client is seeking a data engineer contractor to join our growing analytics team.
Added 1 hour ago
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
$285,000 to $325,000 USD / year
Full-time
Position: Principal Engineer, Software Engineering / AI Engineer

Amazon

Senior Performance Engineer, Efficiency Red Team

Toronto, ON, Canada
Vancouver, BC, Canada

Posting language: English
Posted: Sep 22, 2026

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Original job description

Are you the kind of engineer who obsesses over performance? Does the idea of hunting for hidden waste across the world's largest infrastructure and turning those findings into hundreds of millions of dollars in freed capacity sound like the most exciting job you can imagine? If so, keep reading.

This role offers something rare. Deep technical research freedom, immediate access to the largest compute infrastructure in the world, and direct line of sight to impact that reshapes how Amazon builds and operates its infrastructure. The Efficiency Red Team has already driven billions in cumulative capacity savings, reclaimed petabytes of DRAM through automated profiling, and built GPU efficiency frameworks adopted across Amazon. And we are just getting started. The surface area of opportunity grows with every new workload, every new chip generation, and every new AI model Amazon deploys. You would be joining a team with a proven foundation and an expanding frontier.

Compute demand is rising with no sign of slowing down. The explosive growth of Generative AI has created unprecedented demand for GPUs, and the shock-waves are now constraining DRAM availability for traditional compute across the entire industry. Silicon, power, and physical space are not infinite. When capacity is constrained, efficiency becomes the new capacity. At Amazon's scale, a single efficiency pattern discovered and applied can unlock resources equivalent to building entirely new data centers. A modest reduction in memory footprint across a widely deployed library translates into millions of dollars in freed capacity. An optimization that improves response latency by milliseconds across billions of requests directly improves the experience of hundreds of millions of customers and drives business growth.

We are looking for experienced performance engineers to 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 runtime, from storage subsystem inefficiencies to CPU scheduling behaviors at hyper-scale.

Key job responsibilities
- Apply first-principles analysis across CPU, DRAM, GPU, storage, I/O, and networking layers to uncover optimization opportunities that others overlook
- Design and lead rigorous investigations that establish root causes and produce actionable findings with broad impact
- Build proof-of-concept implementations for novel efficiency approaches such as memory compression, smart over-subscription, and language-level rewrites
- Develop repeatable patterns and practices that translate individual findings into fleet-wide optimization playbooks
- Quantify business impact at Amazon scale, connecting every technical insight to capacity freed, dollars saved, and customer experience improved
- Collaborate across organizational boundaries where the largest opportunities often live at the intersection of teams, systems, and technology stacks
- Contribute findings to internal profiling tools, automated optimization agents, and engineering guidance that become force multipliers across Amazon
- Directly influence how Amazon reasons about performance engineering and capacity efficiency at scale as a founding member of the Efficiency Red Team

A day in the life
Your day could include profiling a widely deployed library to quantify its memory allocation overhead, then building a prototype that demonstrates a significant reduction in DRAM footprint and calculating the impact in freed servers and dollars. You might be deep in GPU utilization data, investigating why a generative AI training cluster shows substantial idle time during peak hours and designing an over-subscription model that safely reclaims that capacity. You could be translating complex performance findings into a clear narrative for senior leadership, showing them that a single optimization pattern applied across Amazon's fleet frees capacity worth more than most companies spend on infrastructure in a year.

Some weeks you will be reading CPU performance counters and cache miss rates. Other weeks you will be analyzing token throughput economics in large language model serving infrastructure. The variety is deliberate because waste hides everywhere, and finding it requires curiosity that refuses to stay in a single lane.

About the team
The Efficiency Red Team is a small group of performance engineers who move fluidly across the entire compute stack. The same engineer might profile CPU cache behavior in a traditional workload one week and analyze token throughput in a GPU inference cluster the next. You will have the freedom to pursue deep technical research, choose your own investigations, and follow the data wherever it leads. This is a founding opportunity to help shape the mission, methods, and culture of a team designed to be Amazon's center of excellence in performance engineering. Every pattern this team discovers feeds directly into detection and remediation tools that operate continuously across the fleet, turning individual insights into lasting, compounding impact. Basic Qualifications: - 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 Preferred Qualifications: - Bachelor's degree in computer science or equivalent
- 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

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.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 150,700.00 - 251,700.00 CAD annually
CAN, ON, Toronto - 150,700.00 - 251,700.00 CAD annually

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More about this job

Responsibilities

You will lead investigations to identify and eliminate inefficiencies across the compute stack, including CPU, GPU, and memory layers. You will also develop repeatable optimization playbooks and quantify the business impact of your findings on infrastructure capacity and costs.

Requirements

Candidates must have over 7 years of experience in systems programming or performance engineering and proficiency in at least one systems language. A strong track record of conducting root cause analysis and delivering measurable performance improvements at scale is required.

Skills

Performance engineering
Systems programming
C
C++
Rust
Java
Performance profiling
Root cause analysis
GPU optimization
CUDA
Capacity planning
Infrastructure optimization
Generative AI
Memory management
Distributed systems
Architecture design

Benefits

Health insurance
Medical
Dental
Vision
Prescription
Basic life & AD&D insurance
Deferred profit sharing plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Performance Engineering
Efficiency Red Team
Infrastructure
Compute Stack
GPU
DRAM
CPU
Generative AI
Systems Programming
C
C++
Rust
Java
CUDA
Profiling
Capacity Planning
Fleet Management
Optimization
Memory Management
Inference Pipelines
Token Economics
Root Cause Analysis
Scalability
Reliability
Architecture
Data Centers
Latency
Throughput
Open Source
Cloud Infrastructure

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