Find work in Canada.

336,262 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 12 mins ago
SC
Spécialiste Tests Electrique (Intermédiaire)
SII Canada
Montreal, QC
- Full-time
We are looking for an Electronics Test Equipment Engineer to contribute to the development, integration, and validation of ground support equipment used for complex electronic systems in a…
Added 16 mins ago
MA
AME (aircraft maintenance engineer) - avionics
Maxcraft Avionics Ltd
Pitt Meadows, BC
- $30 to $48 CAD / hour
- Full-time
- On-site
Repair and overhaul, modify, install and test aircraft electrical systems and equipment
Added 43 mins ago
Q
Lead Engineer - Mechanical
Qualus
Vancouver, BC
- Full-time
Power Your Future with Qualus in our T&D Canada business as a Lead Engineer - Mechanical. Reporting to the Director of Engineering, this position is located in our Vancouver, BC office. If…
Added 58 mins ago
HC
Research Engineer
Human Computer Lab
Remote, Canada
- Full-time
- Remote
Use AI as a research collaborator - to map a search space, run experiments, and pressure-test your own ideas - and share your judgment in how you use it for novel approaches.
Added 58 mins ago
M
Senior Software Engineer, Device & Data Platform
Mecka
Richmond Hill, ON
- $180,000 to $210,000 CAD / year
- Full-time
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and…
Added 58 mins ago
A
Project Engineering Coordinator
AtkinsRéalis
Pickering, ON
- Full-time
…technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project…
Added 1 hour ago
HR
OCS Senior Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Hitachi Rail (STS) is seeking an enthusiastic self-motivated Senior OCS (Overhead Catenary System) Engineer to work on our HMLRT project. As the successful candidate your ideas for…
Added 1 hour ago
Q
Lead Engineer - Mechanical
Qualus
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Power Your Future with Qualus in our T&D Canada business as a Lead Engineer - Mechanical. Reporting to the Director of Engineering, this position is located in our Vancouver, BC office. If…
Added 1 hour ago
A
Senior Verification Engineer - Security
Arm
Toronto, ON
- Full-time
…including Cryptography, Key Management, Embedded Microprocessor Systems, Hardware Root of Trust, and Secure Boot. You will contribute to the design specification, test planning, testbench…
Added 1 hour ago
Senior Software Engineer, Web3 Backend
Robinhood
Toronto, ON
As a Senior Software Engineer, you’ll architect, build, and scale the backend services, infrastructure, and data systems that support Robinhood’s next-generation crypto, web3, and wallet…
Added 1 hour ago
Principal Software Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Principal Software Engineer. Could It Be You?
Added 1 hour ago
S
Responsable de la qualité des fournisseurs / Supplier Quality Leader
Smardt
Dorval, QC
- Full-time
Définir les exigences de qualité des fournisseurs pour les aspects de fabrication, d'inspection et de test, ainsi que pour l'emballage et l'expédition, y compris les certificats, registres…
Added 1 hour ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 1 hour ago
C
Software Tests Specialist (CF-18 Fighter)
CAE
Mirabel, QC
- Full-time
Serve as a Test Project Engineer supporting onboard software applications for the CF-18 fighter aircraft.
Added 1 hour ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 1 hour ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 1 hour ago
Electrical Controls Engineer
Florida Crystals / ASR Group
Toronto, ON
The Electrical Controls Engineer is responsible for maintaining instrumentation, electrical and control systems in support of plant production, quality, GMP and safety goals. Design and…
Added 1 hour ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 2 hours ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 2 hours ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
…across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric - with AI embedded across the automation lifecycle - Redwood accelerates the…
Added 2 hours ago
G
Customer Engineering and Reliability
GoFleet
Mississauga, ON
- Full-time
We are looking for a engineer who enjoys figuring out why something isn't working, rather than simply closing a ticket.
Added 2 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 2 hours ago
ET
Software Engineer
Envision Technology Solutions
Toronto, ON
- Full-time
Influence software architecture and lead design decisions for the Platform, with particular focus on payments and money-movement systems.
Added 2 hours ago
S
V&V Specialist
Scalian
Montreal, QC
- Full-time
We are seeking an experienced Verification & Validation Engineer to support the development and validation of embedded platforms. The ideal candidate has strong expertise in Board Support…
Added 2 hours ago
EG
Requirements Management Lead
Egis Group
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
…regulatory - are captured, verified, and validated in alignment with systems engineering principles and client objectives. The Requirements Management Lead acts as the single point of…

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