Find work in Canada.

333,351 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 14 mins ago
K
Application Engineer - AMR
KUKA
Mississauga, ON
- Full-time
Application Engineer providing technical expertise and engineering support for KUKA Robotics' internal and external stakeholders in autonomous mobile robot (AMR) technology.…
Added 14 mins ago
P
Quality Assurance Engineer
Paymentus
Richmond Hill, ON
- $70,000 to $100,000 CAD / year
- Full-time
At Paymentus, the QA Engineer plays a key role in quality assurance and control of our products, services, and team delivery. The QA Engineer combines quality assurance, engineering, and…
Added 14 mins ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
The ideal candidate will be a strong backend Java architect with hands-on full-stack development experience and a solid understanding of modern frontend technologies. Experience with…
Added 14 mins ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 14 mins ago
BI
Technical Sales Engineer - TrueLight Machine Vision
BOS Innovations Inc.
London, ON
- $90,000 to $110,000 CAD / year
- Full-time
This Technical Sales Engineer owns the go-to-market for TrueLight's AI inspection platform, starting with 3D-AI Weld Inspection and expanding to additional inspection applications and…
Added 14 mins ago
FG
Founding Robotics Engineer – Autonomous Golf Mowers
Foxbridge Golf Club
Toronto, ON
- Full-time
We are starting from the ground up and looking for a talented, entrepreneurial Robotics Engineer to lead the technical development of this project from concept to working prototype.
Added 16 mins ago
BI
Technical Sales Engineer - TrueLight Machine Vision
BOS Innovations
London, ON
- Full-time
This Technical Sales Engineer owns the go-to-market for TrueLight’s AI inspection platform, starting with 3D-AI Weld Inspection and expanding to additional inspection applications and…
Added 16 mins ago
E
Full Stack Engineer, SE3
eBay
Toronto, ON
- Full-time
…passionate, diverse team spanning consignment experts, engineers, product leaders, and beyond. We invest deeply in our people, our culture, and our shared vision. If you’re excited by…
Added 44 mins ago
KG
Senior Java Low Latency Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
We are seeking an experienced Senior Java Low Latency Developer to join our Payments Processing Development team and help drive the evolution of our next-generation exchange connectivity…
Added 44 mins ago
A
Structural/Civil Engineer
Aplin
Red Deer, AB
- Full-time
Provide technical assessments and engineering solutions to support product development, manufacturing, and operational requirements
Added 1 hour ago
T
Senior Mainframe Engineer, TD Securities
TD
Toronto, ON
- Full-time
An Application Engineer with experience and background in real-time event driven systems, Java/Javascript/Typescript development, Databases and Application Integration with knowledge of…
Added 1 hour ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This role requires strong expertise in cryptographic protocols, PKI, and secure API development. You will collaborate with development engineers, the cloud & deployment engineer, and…
Added 1 hour ago
GS
Lead AI Engineer/QA
GeorgiaTEK Systems Inc.
Quebec, QC
- Contract
Facilitate collaboration between QA, development, and product teams
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking a highly skilled Forward Deployed Engineer to work closely with business stakeholders and engineering teams to design, build, and deploy AI-powered data solutions. The ideal…
Added 1 hour ago
M
Full Stack Engineer
mthree
Montreal, QC
- Full-time
Engage regularly with product leads to improve current and future technology solutions
Added 1 hour ago
M
Senior Design Engineer
Multimatic
Markham, ON · Multimatic Technical Centre - South
- Full-time
Lead product development through defining and reviewing virtual and physical validation studies
Added 1 hour ago
Senior Software Engineer, OIG
Okta
Toronto, ON
As a Senior Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture…
Added 1 hour ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
The role requires an engineer who can leverage AI assisted development tools and coding agents to accelerate automation, analyze existing codebases, generate and validate test scenarios,…
Added 1 hour ago
UH
Senior Manufacturing Engineer
University Health Network
Mississauga, ON
- Full-time
The Senior Manufacturing Engineer is responsible for leading the transfer of new products from development into production while ensuring manufacturing readiness, process robustness,…
Added 1 hour ago
O
Senior Software Engineer, OIG
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
As a Senior Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture…
Added 1 hour ago
GS
Lead AI Engineer/QA
GeorgiaTEK Systems Inc.
Halifax, NS
- Contract
Facilitate collaboration between QA, development, and product teams
Added 1 hour ago
V
Instrument Operator Technician (6 Month Contract)
VitalBio
Oakville, ON
- Full-time
…engineers, and systems teams, giving you broad exposure to the full product development process while strengthening your technical and troubleshooting…
Added 2 hours ago
MF
Senior Frontend Engineer
Magnet Forensics
Canada
- Full-time
Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related…
Added 2 hours ago
RB
Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
Added 2 hours ago
Industrial Engineer
Flex-N-Gate
Tecumseh, ON
Experience of participation in a product development team from inception to manufacturing launch including evidence of the imposition of DFM/A into the design.

Nutanix

Software Engineer - AI/Inference /Gateway

Vancouver, BC, Canada

$103,000 to $155,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $103,000 to $155,000 CAD / year
Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

Original job description

Hungry, Humble, Honest, with Heart.

The Opportunity

When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries from a position of deep learning. A GPT-in-a-box solution removes the burden of building or implementing these AI solutions yourself. It also makes overcoming the complexity, inefficiency, and security challenges of generative AI and AI/ML applications easy. Nutanix simplifies your learning curve on AI-ready infrastructure with Nutanix Cloud Platform for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack cloud platform helps you optimise IT costs with a software-defined cloud operating model. Harness AI-ready capabilities right out of the box, simplified to build, fine-tune, and run models, including GPTs and LLMs, while you continue to use existing teams and skills.

Join the Nutanix AI team, responsible for the magic behind the scenes.

About The Team

The Nutanix Enterprise AI team is responsible for strategic product areas including LLM Inference and the AI Gateway. We are at the forefront of Nutanix's mission to simplify AI deployment, recently showcasing our Agentic AI platform at NVIDIA GTC and NEXT 2026. This team is fast-paced, globally distributed, and focused on building the foundational layers of the AI stack.

You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model, offering a blend of in-office collaboration and remote work flexibility. As a new hire, you will be expected to be in the office for 3 days a week, ensuring that you have the opportunity to engage with your team and foster strong working relationships.

Your Role

Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.
Improve the performance of systems to deliver for low-latency and high-throughput use cases.
Optimize any part of the stack, including low-level systems.
Leverage and contribute to relevant open-source cloud native projects.
Develop scalable, efficient, and fault-tolerant observability architectures for collecting, analyzing, and reporting metrics for various platform services.
Collaborate closely with globally located product management and backend development teams to deliver high-quality products in a fast-paced environment.
Contribute to all stages of the product development cycle: technical design, development, test, experimentation, analysis, and launch.
Be a team player by reviewing code and design docs, giving feedback on product specs and mocks, and documentation.
Participate in an ongoing process definition and technology selection to ensure our technology stack is current with relevant trends.
Continuously learn and improve your technical and non-technical abilities.
What You Will Bring
2-5 years of experience developing maintainable, modular, resilient, fail-safe, and long-lasting code from a Product Development company.
Have strong programming fundamentals, data structure, and algorithms.
Strong experience in Docker, Kubernetes, and Cloud native technologies
Experience building applications with Go and Python
Experience building and managing CI/CD pipelines
Strong understanding of datacenter design, including computing, storage, and networking.
Familiarity with on-prem, cloud, and hybrid software deployment architectures
Good experience in designing and tuning high-performance system software
Strong understanding of distributed computing and storage architectures
Strong knowledge of OS internals, virtualization, application performance monitoring, compute storage, and networking management
Familiarity with machine learning concepts and popular frameworks (like TensorFlow, PyTorch, etc) is a strong plus
Experience with hardware accelerators, such as GPUs, is a strong plus.
Experience working with large codebases or contributing to open source is a strong plus.
Experience in building multi-tenant services on a virtualized infrastructure is a solid plus.
Detail-oriented with a strong focus on quality, design, and user experience.
Inquisitive and highly motivated self-starter and problem solver with a drive to integrate, communicate, and work well with large projects and teams.
Track record of being reliable, responsible, and thorough.
Bachelor's/Master's in Computer Science or equivalent work experience

Learn More About the Technology: https://www.nutanixbible.com/

#NAI

Highlighted Benefits (Vancouver, Canada)

Retirement: RRSP with dollar-for-dollar matching up to 7% of base salary

Mental Health: Dedicated mental health coverage plus top-tier paramedical benefits

Family: Fully paid maternity and parental leave and generous bereavement leave, including time for the loss of a pet

Equity: RSUs and Employee Stock Purchase Plan at a 15% discount

Time Off: Company holidays, sick days, company wellness days, and vacation starting at 10 days

Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Vancouver, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

Note: Nutanix does not assist with applications for work permits or permanent residence, including provincial nomination.

Pay Transparency - Role Location The pay range for this position at commencement of employment is expected to be between CAD $103,000 and CAD $155,000 per annual.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

Apply About employer

More about this job

Responsibilities

Design and develop scalable, fault-tolerant Kubernetes services, optimizing systems for low latency and high throughput while building observability capabilities. Contribute across the product development lifecycle, collaborate with globally distributed teams, and support quality through code and design reviews, testing, documentation, and technology selection.

Requirements

Requires 2–5 years of product development experience, strong programming fundamentals, and experience with Go or Python, Docker, Kubernetes, and CI/CD pipelines. Candidates should understand distributed systems, datacenter infrastructure, performance tuning, operating system internals, and virtualization; machine learning, GPU, and open-source experience are advantages, and a bachelor's or master's degree in computer science or equivalent experience is requested.

Skills

Kubernetes
Docker
Cloud-Native Technologies
Go
Python
CI/CD
Distributed Computing
Distributed Storage
High-Performance Systems
Observability
Datacenter Design
Operating System Internals
Virtualization
Machine Learning
TensorFlow
PyTorch

Benefits

RRSP With Dollar-for-Dollar Matching up to 7% of Base Salary
Mental Health Coverage
Paramedical Benefits
Paid Maternity and Parental Leave
Bereavement Leave
Restricted Stock Units
Employee Stock Purchase Plan With a 15% Discount
Company Holidays
Sick Days
Company Wellness Days
Vacation Starting at 10 Days

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
LLM Inference
AI Gateway
Kubernetes
Docker
Cloud-Native Technologies
Go
Python
CI/CD Pipelines
Distributed Computing
Distributed Storage
High-Performance Systems
Low Latency
High Throughput
Observability
Metrics
Datacenter Design
Compute
Storage
Networking
On-Premises Deployment
Cloud Deployment
Hybrid Deployment
Operating System Internals
Virtualization
Application Performance Monitoring
TensorFlow
PyTorch
GPUs

Report this job