Software Development Engineer Conversational Ai jobs at Amazon in Canada, Old Toronto

Key job responsibilities
• Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences
• Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale.
• Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem
• Pioneer new approaches to conversational AI and natural language interactions in advertising
• Shape the future of how businesses connect with customers through AI-powered advertising
• Create scalable systems that process millions of data points to deliver hyper-personalized ad experiencesWhat we're looking for:
• Passionate about Generative AI, Large Language Models, and their real-world applications
• Strong software engineering skills with experience in distributed systems and cloud technologies
• Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
• Track record of delivering innovative solutions that drive business impact
• Enthusiasm for staying current with the rapidly evolving AI landscape
A day in the life• Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
• Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.
• Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.
• Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers
• Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challengesWhy join us?
• Be part of a team that's defining the future of AI in advertising
• Work on projects with massive scale and impact, reaching millions of businesses and consumers
• Collaborate with world-class AI researchers and engineers
• Access to cutting-edge AI technologies and resources

- 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
- Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations

Key job responsibilities
What you'll do:
- Be the primary quality representative for supplier quality activities
- Perform First Article Inspections (FAI) to make sure samples comply with drawings and specifications prior to production start or after any changes
- Own implementation, validation and continuous monitoring of supplier’s IQC, IPQC and OQC to ensure proper process FMEA, quality control plans, SOPs, SIPs, operator/inspector training, equipment and documentation are implemented and followed
- Determine strategies for continuous improvement in supplier quality and supply chain metrics.
- Manage supplier's corrective actions system (investigation, documentation and implementation of corrective action and the verification of their effectiveness)
- Conduct supplier audits including new supplier selection and regular process/product audits to existing suppliers, and effectively drive findings closures by proposing and implementing necessary CAPA- Take lead process capability assessment, measurement system analysis, MSOP & correlation and SPC implementations at supplier site
- Initialize the review and approval for supplier PPAP
- Contribute to final product release activities in accordance with established procedures, production schedules and gate exit requirements
- Develop and prepare documentation, post reports, drive quality metrics and communication- Track issue and task progresses in JIRA and understand BOM components, layout and drawings with a PLM system (i.e. Arena, Agile, etc.)A day in the life
About the team
About AWS
Diverse Experiences
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 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

- Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent
- 5+ years of manufacturing, process, industrial engineering experience
- Experience demonstrating problem solving and root cause analysis
- In-depth understanding and implementation experiences in APQP, FMEA, SPC & Process capability, MSA, PPAP, DOE, data analysis, hypothesis testing etc.
- Excellent English communication skills and interactions with suppliers and customers, both written and verbal

- Travel up to 50% of the time
- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders
- Certified QMS lead auditor
- Solid experience in SMT, DIP, FATP, FPC/FPCA and surface treatment process
- Good understanding of GD&T and experience of applying different measurement tools, techniques and gage/fixture design
- Experience of tooling design, tooling engineer and molding process engineer will be a plus
- Experience of reliability testing will be a plus

Key job responsibilities
• Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences
• Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale.
• Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem
• Pioneer new approaches to conversational AI and natural language interactions in advertising
• Shape the future of how businesses connect with customers through AI-powered advertising
• Create scalable systems that process millions of data points to deliver hyper-personalized ad experiencesWhat we're looking for:
• Passionate about Generative AI, Large Language Models, and their real-world applications
• Strong software engineering skills with experience in distributed systems and cloud technologies
• Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
• Track record of delivering innovative solutions that drive business impact
• Enthusiasm for staying current with the rapidly evolving AI landscape
A day in the life• Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
• Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.
• Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.
• Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers
• Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challengesWhy join us?
• Be part of a team that's defining the future of AI in advertising
• Work on projects with massive scale and impact, reaching millions of businesses and consumers
• Collaborate with world-class AI researchers and engineers
• Access to cutting-edge AI technologies and resources

- 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
- Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations

Key job responsibilities
As a Software Development Engineer,- You will solve technical challenges and act as a mentor to other junior engineers.
- Given that this is an early-stage initiative, you'll play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team.
- You will help invent new features, design, develop and deploy highly scalable and reliable distributed services.
- You will work with a variety of core languages (primarily Java and Python) and technologies (AWS).
- You will work closely with Product Managers, Engineers and Applied Scientists.

- 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 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 responsibilitiesDevelops and maintains code for .NET web based enterprise applications.Experiments with AI tools.Works with all departments to define and document business requirements.Prepares diagrams, design documentation, and project documents.Thoroughly test code and verify performance to requirements prior to UAT and launchWrites clear, concise and detailed solution design and technical documentation.Compiles, organizes, analyzes and uses technical data to solve problems.Delivers projects (design, coding, testing, implementation, and support) on time and within budget.
A day in the lifeAs a member of the team, you will be hands on with a wide array of software applications.You will use your skills and experience to participate in and deliver with all phases of the project lifecycle. End to end ownership is yours.You will review requirements, propose solution designs, set project timelines, and be responsible to delivered agreed upon functionality within scope and on time.Following and establishing new best practices are keys to providing the highly consistent and scalable solutions needed to meet the demands of this key role

- 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
- Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.
- Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language