Jobs in Canada

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Added 14 days ago
Office Administrative Assistant
HealthCareersInSask.ca
Meadow Lake, SK
Job Description: Provides a wide range of administrative support and coordination of clerical/financial services to a variety of department(s) and/or program(s) and/or facility(ies).
Added 14 days ago
Continuing Care Assistant
HealthCareersInSask.ca
Regina, SK
…relating to the qualifications of the position. By submitting your application, you consent to your application history and talent profile being shared with Human Resources and the…
Added 14 days ago
LC
Grocery Clerk Part Time Night
Loblaw Companies Limited
Winnipeg, MB
- Part-time
…invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable…
Added 14 days ago
LH
2600002751 - Registered Nurse
Lakeridge Health
Oshawa, ON
- Internship
8/12 Hour Shifts; Days/Nights/Weekends (Subject to Change) · Must have a satisfactory performance record; and
Added 14 days ago
E1
Hiring Now! Teach English Overseas with Full Training, Visa Sponsorship & Career Support
English 1
Sydney Indian Reserve No. 28A, NS · Sydney, NS
- Full-time
Track student progress and provide meaningful feedback to support their growth.
Added 14 days ago
NS
Specialist Occupational Therapist
NHS Scotland
Kawartha Lakes, ON
- Full-time
You should apply for this post by completing the application process on Jobtrain.
Added 14 days ago
E1
Hiring Now! Entry-Level English Teacher (ESL) | No Experience Needed
English 1
Toronto, ON
- Full-time
…into international teaching. We will provide you with full support and…
Added 14 days ago
J
Project Operations Manager (Construction)
Jobgether
Canada
- $85,000 to $105,000 CAD / year
- Full-time
Coordinate trade quotations, review scopes of work, and support vendor selection and trade awarding in collaboration with the Construction Manager.
Added 14 days ago
SM
Physiotherapist - Full Time
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Must have a good attendance record
Added 14 days ago
SM
Manager, Finance, Performance & Analytics
Stevenson Memorial Hospital
Alliston, ON
- Full-time
…the Manager delivers financial and operational insights that support organizational performance, resource stewardship, and evidence-based decision-making. The role also strengthens…
Added 14 days ago
QW
Technical Support Analyst
Q Wealth Partners
Toronto, ON
- Full-time
2–4 years of experience in technical support, operations support, or application support.
Added 14 days ago
CO
IT Technician I (FT, Permanent)
City of Dawson Creek
Dawson Creek, BC
- Full-time
The City of Dawson Creek invites applications for a full-time IT Technician I to provide end-user support and operational assistance for the City's information technology services. The…
Added 14 days ago
J
Proposal Lead
Jobgether
Canada
- Full-time
…members, and contribute to impactful infrastructure projects that support communities across North…
Added 14 days ago
AC
Operations Administrator
Aston Carter
Trail, BC
- $20 to $26 CAD / hour
- Contract
…administrative and procurement activities, and providing frontline support to employees and visitors. This role plays a key part in optimizing operational processes, supporting finance and…
Added 14 days ago
E1
Hiring Now! Entry-Level English Teacher (ESL) | No Experience Needed
English 1
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…into international teaching. We will provide you with full support and…
Added 14 days ago
LL
Branch Supervisor - Grande Prairie
Liebherr-Canada Ltd.
Grande Prairie, AB
- Full-time
Support employee development through orientation, coaching, training, apprenticeships, performance management
Added 14 days ago
M
Director, People & Culture
Microserve
AB · Alberta, Canada
- Full-time
Partner with the President on compensation planning, internal equity assessments, salary range application, and compensation recommendations that support organizational goals.
Added 14 days ago
CO
Temporary Solutions Integration Specialist (up to 8 months)
City of Saint John
Saint John, NB
- Temporary
Must possess exceptional problem solving, critical thinking and analytical skills to troubleshoot and resolve issues and challenges · Must have a demonstrated understanding of the underlying concepts of project management methodologies
Added 14 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 14 days ago
CO
Manager Policy and Risk Management
City of Saint John
Saint John, NB
- Full-time
This is a management position reporting to the Inspector of Support Services. The incumbent will act in an advisory capacity to the senior police staff and Chief of Police in matters of…
Added 14 days ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
Must have a valid Class 5 Driver’s License
Added 14 days ago
N
Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Identify recurring patterns in customer configurations, support tickets, and performance regressions.
Added 14 days ago
RS
Operations Management Trainee
Ryder System, Inc.
Hamilton, ON
- Full-time
As part of our commitment to compliance with employment and immigration laws, all applicants must have valid legal authorization to work in Canada
Added 14 days ago
A
Intermediate Software Engineer
AltaML
Calgary, AB
- $90,000 to $110,000 CAD / year
- Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential…
Added 14 days ago
AT
Courier Driver
Armour Transportation Systems
Sydney Indian Reserve No. 28A, NS · Sydney, NS
- Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our…

Nutanix

Forward Deployed Engineer - AI Inference Systems Research

Vancouver, BC, Canada

$132,000 to $198,000 CAD / year · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $132,000 to $198,000 CAD / year
Job type: Full-time
Apply by: Nov 13, 2026
Posting language: English
Posted: Oct 14, 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 AI Solutions Engineering and Forward Deployed Engineering (FDE) team operates at the critical intersection of applied research, systems engineering, and customer success. Our charter spans three core pillars:

Field Engineering & Production Deployment: Delivering hands-on technical onboarding, architecture integration, and rapid triage for enterprise customers deploying the Nutanix AI (NAI) platform.
Solutions Engineering: Abstracting common edge cases and deployment challenges across diverse customer environments into resilient, reusable frameworks, automated blueprints, and core product enhancements.
Inference Research: Investigating, benchmarking, and integrating cutting-edge model serving techniques, hardware acceleration runtimes, and quantization algorithms directly into the NAI stack.

Role Overview

As an entry-level Forward Deployed Engineer based out of our Vancouver office, you will bridge the gap between Nutanix AI product engineering, cutting-edge systems research, and enterprise production environments. You will deploy end-to-end AI infrastructure on the Nutanix Cloud Platform, diagnose complex distributed systems failures, and design programmatic solutions that prevent recurring deployment friction. Additionally, you will dedicate structured time to inference research - evaluating emerging open-source inference engines, optimizing GPU utilization, and benchmarking model serving performance.

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

Customer Deployments & Issue Triage
- Partner directly with enterprise customers to deploy, configure, and validate Nutanix Enterprise AI workloads across hybrid multi-cloud and on-premises environments.
- Perform root-cause analysis on real-time failures spanning GPU orchestration, container networking, storage I/O bottlenecks, and model runtime crashes.
- Serve as the frontline technical authority, driving critical customer incidents to resolution through hands-on debugging across Linux internals, hypervisors, and Kubernetes clusters.
Solutions Engineering & Tooling
- Identify recurring patterns in customer configurations, support tickets, and performance regressions.
- Develop production-grade automation scripts, CLI tools, Helm charts, and reference architectures to streamline deployment pipelines across heterogeneous environments.
- Feed operational insights, reproducible test beds, and code patches back to the core NAI product engineering teams.
Inference Systems Research & Optimization
- Experiment with, evaluate, and benchmark modern inference frameworks (e.g., vLLM, TensorRT-LLM, TGI, Triton Inference Server).
- Profile model inference pipelines to optimize latency, throughput, time-to-first-token (TTFT), and inter-token latency (ITL) on modern accelerator architectures (NVIDIA, AMD).
- Prototype applied techniques such as speculative decoding, KV cache management strategies, continuous batching, and quantization (AWQ, FP8, GPTQ) for platform integration.

What You Will Bring

Education: Ph.D./Master’s degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related quantitative field with academic or thesis focus on AI/ML systems, distributed systems, operating systems, or computer architecture.
Programming: Strong proficiency in Python and C++ or Go, with an emphasis on systems programming, concurrency, and API development.
Systems & Infrastructure: Deep theoretical and practical knowledge of Linux operating systems, systems performance profiling, containerization (Docker), and container orchestration (Kubernetes).
AI/ML Runtimes: Hands-on experience deploying, serving, or profiling Large Language Models (LLMs) and diffusion models using PyTorch and open-source serving frameworks (vLLM, Hugging Face TGI, Triton).
Communication: Ability to distill complex distributed systems failures into clear technical action plans for both customer stakeholders and internal engineering teams.

Preferred Qualifications

Prior internship, research fellowship, or co-op experience in forward deployed engineering, site reliability, infrastructure engineering, or ML platform development.
Direct experience with hardware-aware optimization tools, such as CUDA, NVIDIA Nsight Systems, Triton kernels, or ROCm.
Familiarity with enterprise storage concepts (POSIX, S3/Object Store, NVMe-oF) and virtualization technologies (KVM, AHV).
Contributions to open-source inference runtimes, distributed ML libraries, or Kubernetes operators.

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 $132,000 and CAD $198,000 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.

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More about this job

Responsibilities

Deploy and troubleshoot Nutanix AI workloads for enterprise customers, diagnosing failures across GPUs, containers, storage, Linux, hypervisors, and Kubernetes. Build reusable deployment tools and architectures, and research and benchmark inference frameworks and optimization techniques to improve model-serving performance.

Requirements

A master's or Ph.D. in a relevant quantitative field is requested, with academic or thesis focus on AI/ML systems, distributed systems, operating systems, or computer architecture. Candidates should have strong Python and C++ or Go skills, practical Linux and Kubernetes experience, hands-on LLM or diffusion-model serving and profiling experience, and the ability to communicate technical issues clearly.

Skills

Python
C++
Go
Linux
Systems Performance Profiling
Docker
Kubernetes
Large Language Model Deployment
PyTorch
Inference Frameworks
Distributed Systems Troubleshooting
GPU Optimization
CUDA
Automation Scripting
Customer Communication
Quantization

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
Company Holidays
Sick Days
Company Wellness Days
Vacation Starting at 10 Days

Visa sponsorship

Not detected in the job text

Keywords

Nutanix Cloud Platform
Nutanix Enterprise AI
GPT-in-a-Box
Generative AI
Large Language Models
Diffusion Models
Python
C++
Go
Linux
Docker
Kubernetes
PyTorch
vLLM
TensorRT-LLM
Hugging Face TGI
Triton Inference Server
GPU Orchestration
NVIDIA
AMD
CUDA
ROCm
NVIDIA Nsight Systems
Triton Kernels
Speculative Decoding
KV Cache Management
Continuous Batching
AWQ
FP8
GPTQ

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Work requirements

Jobs in Canada