Aws Solutions Architect Commercial jobs at Amazon in Canada, Old Toronto

Key job responsibilities
Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:* 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
A 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.About the team
#1. 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.

- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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
- Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures
- Experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm
- Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA
- Experience developing high performance libraries for HPC applications
- Proficiency in low-level performance optimization for GPUs
- Experience with LLVM/MLIR backend development for GPUs
- Knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends
- Experience with parallel programming and optimization techniques
- Understanding of GPU memory hierarchies and optimization strategies

Key job responsibilities
Leadership & People Management* Lead, mentor, and grow a high-performing team of Startup Solutions Architects across Canada.
* Set technical priorities, coach on career development, and create a culture of builder-first, hands-on engagement with startups.
* Ensure consistent execution of technical depth and startup empathy across the team.
* Partner closely with Canadian startup account managers, BD teams, and ecosystem programs (VCs, accelerators, incubators).Regional Technical Strategy* Develop and execute the technical engagement strategy for Canada’s startup ecosystem.
* Tailor global mechanisms to Canadian needs, with emphasis on GenAI, data strategy, and regulated industries.
* Represent AWS in Canada’s startup and research communities, building relationships with universities, accelerators, and industry groups.
* Provide input to global SA leadership on trends emerging from Canada (AI/ML, fintech, climate tech).Hands-On Technical Leadership* While primarily a manager, stay hands-on enough to maintain credibility with founders and CTOs.
* Guide startups on cloud-native architectures, Kubernetes/EKS, DevOps/SRE practices, and serverless-first design.
* Provide expertise on GenAI workloads: foundation model usage, training/fine-tuning, inference scaling, and cost optimization.
* Advise on data strategy: proprietary data as a moat, data labeling, pipelines, compliance (especially PIPEDA in Canada), and ML readiness.Scaling & Mechanism Building* Drive creation of reference architectures, reusable assets, and enablement programs that scale across the Canada SA org.
* Build technical enablement programs for Canadian founders, including workshops on cloud-native, AI/ML, and data foundations.
* Partner with Canadian accelerators (Creative Destruction Lab, NextAI, Communitech, etc.) to deliver impactful technical programming

- 10+ years of management of technical, enterprise customer facing resources or equivalent experience
- 10+ years of infrastructure architecture, database architecture and networking experience
- Bachelor's degree
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.

- Strong familiarity with Canada’s startup ecosystem, including government programs (IRAP, SR&ED), AI research hubs, and local funding dynamics.

Key job responsibilities
Make in-room decisions, organising tasks between service partners, and directing other support engineers working on live events.Deliver reports to senior leadershipProvide on-call support and act as point of escalation for high-severity issuesAid in the development and testing of operational tools that improve efficiency through automationOwnership of one or more systems or tools
A day in the life
Support engineers collate any relevant data points and communicate these out to stakeholders. Due to the nature of linear TV there will be occasional weekend shifts as well as varying hours,We maintain thousands of hours of content per day, measuring success by the number of hours of content delivered without issues.

- 3+ years of technical support, or 3+ years of software development experience
- Experience troubleshooting and debugging technical systems
- Experience developing operational processes and technologies
- Experience developing customer relationships and influencing key decision-makers
- Experience of live streaming or in a similar live production environment
- Knowledge of streaming video pipelines and technologies, including encoding hardware/software video delivery, acquisition, codecs, adaptive bit rate video playback, and common streaming protocols
- Proven ability to troubleshoot and identify the root cause of issues, you're a natural problem solver!
- Fundamental knowledge of AWS
- Basic knowledge of networking systems and hardware installation, including server and switch configuration

- Experience scripting in modern program languages
- Experience communicating technical details verbally and in writing
- Experience with live broadcast production, transmission, NOC or MCR operations
- Experience with video quality metric tools (i.e. TAG)
- Experience working in live sports

As a Senior Startup Investor Manager within AWS, you will work with venture capital firms and angel investors to accelerate portfolio company success. You'll work with key investors to help unlock the potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on supporting meaningful initiatives between the investment community and AWS, helping startups leverage cloud to achieve breakthrough growth. You'll combine technical understanding of cloud and emerging technologies, such as generative AI, with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.Key job responsibilities
• Support and execute initiatives with venture and angel firms, contributing to investor-focused programs that accelerate portfolio company success• Implement solutions that address specific startup and investor needs• Collaborate on cross-functional initiatives involving AWS Startups, Sales, Marketing, and Product teams• Monitor program effectiveness and provide feedback based on results• Collect early-stage market signals from investors and founders to support AWS innovation and help meet the evolving needs of tomorrow's breakthrough companies• Evaluate technical and business potential of startups through understanding of their architecture, technology stack, and market opportunity• Serve as technical advisor to portfolio companies, helping them optimize their cloud architecture and go-to-market approachAbout the team
About AWS
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.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.Work/Life Balance

- 7+ years of experience in technology industry with focus on startups, ideally in combination with technical roles
- Strong understanding of cloud computing architectures, services, and best practices and familiarity with generative AI technologies
- Experience supporting business initiatives that drive measurable outcomes
- Understanding of technical patterns and architectures for workloads relevant to startups
- Bachelor's degree in technical or technical management field or equivalent experience

- Advanced degree (MBA or technical)
- Experience at startups or venture capital/angel firms
- Experience building and scaling cloud-native applications from the ground up
- Strong analytical and technical assessment capabilities
- Experience with commercial aspects of fast-growing technical businesses
- Ability to understand and evaluate emerging technologies
- Experience in multiple technical domains (AI/ML, Security, Infrastructure)

Key job responsibilities
Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:* 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 techniquesA 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.About the team
#1. 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.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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

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
* Collaborate across teams to develop innovative optimization techniques that enhance AWS Neuron SDK's performance capabilities
* Work in a startup-like development environment, where you’re always working on the most important stuff.A 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.About the team
#1. 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.

- 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

The RoleYou will design and develop generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.Key job responsibilities
- Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
- Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
AWS values diverse experiences. Even if you do not meet all of the preferred 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.Mentorship & Career GrowthWe’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.Work/Life Balance

- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Hands on experience architecting and deploying full stack generative AI workloads to production systems.

- Experience optimizing production generative AI or Hybrid AI workloads for optimal cost, latency, and/or resilience
- PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus
- Knowledge of large scale automation and workflow management or equivalent