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CR
Part Time Registered Practical Nurse (RPN) - 7 AM to 3 PM
COGIR Real Estate
Pembroke, ON
- Part-time
Current Basic Cardiac Life Support and First Aid certification required
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RM
Registered Nurse
Ross Memorial Hospital
Kawartha Lakes, ON · Lindsay, ON
- Part-time
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RM
RPN Registered Practical Nurse
Ross Memorial Hospital
Kawartha Lakes, ON · Lindsay, ON
- Temporary
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WI
HSE Site Representative
WSP in Canada
BC · British Columbia, Canada
- Full-time
Build the Future With Us - Take your health and safety expertise into the field and help support safe project delivery in Canada’s North.
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WI
HSE Site Representative
WSP in Canada
ON · Ontario, Canada
- Full-time
Build the Future With Us - Take your health and safety expertise into the field and help support safe project delivery in Canada’s North.
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WI
HSE Site Representative
WSP in Canada
Quebec, QC
- Full-time
Build the Future With Us - Take your health and safety expertise into the field and help support safe project delivery in Canada’s North.
Added 1 day ago
WI
HSE Site Representative
WSP in Canada
Quebec, QC
- Full-time
Build the Future With Us - Take your health and safety expertise into the field and help support safe project delivery in Canada’s North.
Added 1 day ago
WI
HSE Site Representative
WSP in Canada
BC · British Columbia, Canada
- Full-time
Build the Future With Us - Take your health and safety expertise into the field and help support safe project delivery in Canada’s North.
Added 1 day ago
WI
HSE Site Representative
WSP in Canada
Calgary, AB
- Full-time
Build the Future With Us - Take your health and safety expertise into the field and help support safe project delivery in Canada’s North.
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WI
HSE Site Representative
WSP in Canada
Vancouver, BC
- Full-time
Build the Future With Us - Take your health and safety expertise into the field and help support safe project delivery in Canada’s North.
Added 1 day ago
WI
HSE Site Representative
WSP in Canada
Vancouver, BC
- Full-time
Build the Future With Us - Take your health and safety expertise into the field and help support safe project delivery in Canada’s North.
Added 1 day ago
SM
Physiotherapist - Full Time
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Two years’ experiences with an inpatient physical therapy program.
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CR
Senior Program Manager
Canadian Red Cross
Canada
- Full-time
The Senior Program Manager is responsible for leading strategic programs, service innovations, and operational improvement initiatives across the Health in Emergencies (HIE) portfolio. The…
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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…
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J
Proposal Lead
Jobgether
Canada
- Full-time
…members, and contribute to impactful infrastructure projects that support communities across North…
Added 1 day ago
VC
Program Assistant - Home Health
Vancouver Coastal Health
Richmond, BC
- $26.42 to $28.25 CAD / hour
- Temporary
Come work as a Program Assistant with Vancouver Coastal Health (VCH) on the Home Health team in Richmond, BC. Apply now to join our team!
Added 1 day ago
CG
Second Cook, Full Time
Compass Group Canada
Kitimat, BC
- Full-time
…financial wellbeing. We also have an Employment Assistance Program which provides our associates with access to 24/7 support, resources, and…
Added 1 day ago
M
Director, People & Culture
Microserve
AB · Alberta, Canada
- Full-time
Microserve is looking for a Director, People & Culture to ensure our people, leaders, and teams have the support, programs, and practices they need to do great work and grow with the…
Added 1 day ago
CO
Temporary Solutions Integration Specialist (up to 8 months)
City of Saint John
Saint John, NB
- Temporary
Participate, on a rotation basis, in providing after hours support to users throughout the organization. Additional after-hours commitment may be required for application and database…
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CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
…transition to modern platforms by assisting in establishing support processes, knowledge, and…
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CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
…service areas to ensure that technology solutions effectively support business outcomes and service…
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CO
Growth Coordinator
City of Saint John
Saint John, NB
- Full-time
Initiate and maintain contact with event organizers to support the attraction of events to the Uptown with a particular focus on events that will stimulate economic impact to the City,…
Added 1 day ago
CO
Municipal Engineering Technologist
City of Saint John
Saint John, NB
- Full-time
Candidates must have completed a two-year diploma program in Civil Engineering Technology and have a valid Class 5 Driver’s License.
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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 1 day ago
GC
Algorithm Software Engineer
Garmin Canada
Cochrane, AB
- Full-time
Collaborate in peer code reviews and technical assessments in areas of expertise, providing comments and suggestions to support software designs and new technologies

Nutanix

Forward Deployed Engineer - AI Inference Systems Research

Vancouver, BC, Canada

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

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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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