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Added 4 months ago
V
Product Design Engineer
Viggle
Toronto, Ontario
- $80,000 to $150,000 CAD / year
- Full-time
Viggle AI is a leading generative AI startup backed by top-tier investors, including Andreessen Horowitz (a16z) and Two Small Fish Ventures (TSFV). We are building AI-powered creation tools…
Added 1 month ago
PA
Intermediate Developer, Development and Delivery
Porter Airlines Inc.
Toronto, ON
- Full-time
Innovation (AI-First): Proactively identify opportunities to integrate Generative AI to accelerate modernization and improve operational efficiency and quality.
Added 4 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
…AI systems. You'll lead the integration of machine learning, Generative AI capabilities and agentic frameworks into client solutions, designing MLOps/LLMOps-focused architectures for model…
Added 3 months ago
S1
Forward Deployed Engineer
Signal 1
Toronto, ON
- Full-time
…portfolios. AIMS offers comprehensive oversight of predictive and generative AI applications and introduces guardrails to mitigate downside risks. It sets the standard for Responsible AI in…
Added 3 months ago
C
AVP, Lead AI Engineer
Chubb
Toronto, ON
- Full-time
Develop and integrate generative AI applications, including LLM-based workflows, agents, and retrieval-augmented generation (RAG) solutions
Added 2 months ago
Senior Machine Learning Engineer
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Senior Machine Learning Engineer to join our new AI Innovation teams in Toronto - where we're building the AI-powered future of financial analysis from the ground…
Added 1 month ago
Associate, Data Engineer
BMO
Toronto, ON · FCP
We are seeking a skilled and motivated Data Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust data infrastructure…
Added 5 months ago
A
Senior Software Engineer, CMS (Auto Repossession & Remarketing)
AutoTrader.ca
Toronto, Ontario
- Full-time
We’re looking for a Senior Software Engineer who takes end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to rethinking and rebuilding…
Added 5 months ago
A
Senior Software Engineer, Tech Transformation
AutoTrader.ca
Toronto, Ontario
- Full-time
We’re looking for a Senior Software Engineer, Tech Transformation who takes end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to…
Added 3 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
- Full-time
We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and…
Added 2 months ago
K
Senior Software Engineer, Payments
Kindsight
Canada
- Full-time
…that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the…
Added 1 month ago
AW
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon Web Services (AWS)
Toronto, ON
- Full-time
AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Added 3 months ago
CI
Lead Engineer, Total Fund Management Financing, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Lead Software Engineer, Total Fund Management, Financing, you will provide hands-on technical leadership for the design, development and delivery of modern, cloud-native applications…
Added 3 months ago
S
Senior ML Research Engineer, Virtual Cell
SandboxAQ
Remote, Canada
- $125,800 to $222,000 CAD / year
- Full-time
- Remote
As a Machine Learning Engineer on AQCell, you will build and maintain the models and data infrastructure that power this pipeline. You will work across large, heterogeneous transcriptomic…
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 1 month ago
W
Staff Systems Engineer - Safety Methodologies
Waabi
Toronto, ON
- $200,000 to $256,000 USD / year
- Full-time
…are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless…
Added 5 months ago
C
Software Engineer (Full Stack)
Citylitics
Toronto, Ontario
- $120,000 to $140,000 CAD / year
- Full-time
We believe that Data and AI will play an outsized role in our future, so we equip every team member with access to Generative AI tools and our full Data Universe to enhance their…
Added 1 month ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Added 5 months ago
TA
Forward Deployment Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 3 months ago
S
Directeur.trice principal.e, opérations de l'expérience client // Senior Director, Customer Experience Operations
SSENSE
Montreal, QC
- Full-time
…concevant des flux de travail automatisés et des intégrations d'IA générative/LLM afin de réduire considérablement les délais de première réponse et de résolution…
Added 1 month ago
P
AI Engineer - Canada
Pulsora
Remote, Canada
- $60,000 to $70,000 CAD / year
- Full-time
- Remote
…rapidly evolving field of Large Language Models (LLMs) and generative AI, with a strong background in developing, integrating, and optimizing complex agentic and RAG-based…
Added 1 month ago
Software Development Engineer, Neuron Explorer
Amazon
Toronto, ON
…servers that use them. This role is for a Software Development Engineer on the Developer Experiences (DevEx) team within AWS Neuron, based in…
Added 1 month ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 months ago
TG
Systems Engineer, Patch Management (12 month contract)
TMX Group
Toronto, Ontario
- $110 to $120 CAD / hour
- Full-time
We are seeking a Systems Engineer to join our team for a 12-month contract. In this role, you will be responsible for architecting, testing, and executing enterprise-wide software updates…
Added 5 months ago
H
AI Engineer - Remote
Huzzle.com
Canada
- Full-time
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data…

Amazon

Software Development Engineer, Neuron Explorer

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Sep 11, 2026

Original job description

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago - even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

AWS Neuron is the complete software stack for the AWS Trainium and Inferentia cloud-scale machine learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a Software Development Engineer on the Developer Experiences (DevEx) team within AWS Neuron, based in Toronto.

The Neuron Explorer team makes AWS Trainium performance visible. We own Neuron Explorer, the tool for profiling, debugging, and optimizing machine learning workloads on Trainium and Inferentia. We build profiling, debugging, and analysis tools that let engineers see how efficiently models and kernels use the hardware, pinpoint bottlenecks, and decide what to optimize next. Neuron Explorer traces execution from source code down to hardware operations across both single-node and distributed applications. Our goal is to cut through complex execution data so customers can optimize faster and reach higher performance on Trainium.

As the Software Development Engineer for the Neuron Explorer team, you will design, build, and operate the full stack behind Neuron Explorer - from low-level performance data collection and analysis engines to interactive visualizations and developer workflows. You will own features end to end, spanning the backend processing pipeline, the web UI, and the CLI, and you will help push our AI-powered recommendation and analysis capabilities that automatically surface bottlenecks and guide optimization.

Key job responsibilities
- Design and build performance data collection pipelines and analysis engines that transform raw hardware execution data into actionable insights for Neuron Explorer users.
- Develop interactive visualizations and developer workflows that make complex profiling data understandable, helping customers pinpoint bottlenecks across single-node and distributed training workloads.
- Own features end to end across the full software development lifecycle - from scoping and design through implementation, testing, deployment, and operations - ensuring reliability and maintainability.
- Collaborate with compiler, runtime, and chip architecture teams to surface the right performance information so internal and external customers can optimize AI workloads on Trainium and Inferentia hardware.
- Evaluate and integrate generative AI capabilities into Neuron Explorer's recommendation engine, building features that automatically identify optimization opportunities and guide customers toward higher performance.

A day in the life
You will work across the backend processing pipeline, the web UI, and the CLI that make up Neuron Explorer, partnering with compiler, runtime, and chip architecture teams to expose the data customers need to optimize their models. You will work with senior technical leaders and management to define product direction and deliver it to customers, including teams bringing massive-scale multi-modal large language models to peak performance on Trainium. We build the full stack of software, servers, and chips to accelerate machine learning at the highest scale.

About the team
Inclusive Team Culture

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences.

Work/Life Balance

Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- 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 Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience working with PyTorch or JAX software
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

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, ON, Toronto - 114,800.00 - 191,800.00 CAD annually

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More about this job

Responsibilities

You will design and build the full-stack Neuron Explorer tool to profile, debug, and optimize machine learning workloads on AWS Trainium and Inferentia hardware. This involves creating data collection pipelines, interactive visualizations, and integrating generative AI to surface performance bottlenecks.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 3 years of professional software development experience. Proficiency in system design, software development lifecycles, and experience with machine learning frameworks like PyTorch or JAX are required.

Skills

Software development
System architecture
Performance profiling
Debugging
Machine learning
PyTorch
JAX
Large language models
Backend development
Web UI development
CLI development
Data collection pipelines
Compiler optimization
Hardware acceleration
Distributed systems
Generative AI

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
AWS Neuron
Trainium
Inferentia
Machine Learning
Profiling
Debugging
Performance Optimization
Full Stack
Backend
Web UI
CLI
PyTorch
JAX
Large Language Models
Generative AI
Distributed Training
Compiler
Runtime
Hardware Architecture
Data Pipelines
Cloud Solutions
Reliability
Scalability
Automation
Recommendation Engine
Performance Analysis
Kernel Optimization
AWS

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