Find work in Canada.

499,462 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 32 mins ago
Checkpoint Network Engineer
Optimal Growth Technologies
Ottawa, ON
We are seeking an experienced Check Point / Network Engineer to support, maintain and enhance enterprise network infrastructure and security environments. The successful candidate will have…
Added 1 hour ago
C
GTM Engineer
Chatbase
Toronto, ON
- $110,000 to $160,000 CAD / year
- Full-time
→ The GTM stack: CRM, automation and reporting, so sales and growth can move faster.
Added 2 hours ago
N
Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
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…
Added 4 hours ago
W
Data & AI Engineer
Wiraa
Canada
- Full-time
…award-winning portfolio of connected frontline, asset visibility, and automation solutions. Our innovative products and services empower organizations across various industries including…
Added 4 hours ago
PD
Sales and Account Manager Director
Planet DDS
Ottawa, ON
- Full-time
…scale. From practice management to imaging to revenue cycle automation, we’re tearing down the old infrastructure and rebuilding the future of dentistry. Planet DDS is the fastest-growing…
Added 4 hours ago
M
Junior Test Engineer - Digital (evening shift)
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
We’re on the hunt for a Junior Test Engineer on our Satellite systems team at our Montreal office.
Added 4 hours ago
M
Test Engineer Payload, Platform et Spacecraft
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
We are looking for a Test Engineer to join our satellite systems team at our Montreal office.
Added 4 hours ago
M
Test Engineer - Payload, Platform and Spacecraft
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
We are looking for a Test Engineer to join our satellite systems team at our Montreal office.
Added 4 hours ago
A
Ingenieur Mecanique - Mechanical Engineer
Actalent
Terrebonne, QC
- $46 to $77 CAD / hour
- Contract
…bearings, and other mechanical components. Collaborate closely with automation, electrical, manufacturing, and project teams to ensure seamless integration and functionality of…
Added 5 hours ago
T
Software Engineer II (Salesforce Loyalty Management Developer)
TD
Toronto, ON
- Full-time
The Software Engineer II (Salesforce Loyalty Management Developer)
Added 5 hours ago
Software Engineer I
Planview Incorporated
Vancouver, BC
This role is ideal for an early-career engineer who enjoys solving technical challenges, building automation, leveraging AI-assisted development practices, and learning modern cloud and…
Added 5 hours ago
A
Cloud Security Analyst
ATB
Calgary, AB · Edmonton, AB
- Full-time
…and Amazon Web Services (AWS), using modern security tools, automation, and cloud-native capabilities to improve visibility and reduce risk. This is a hands-on technical role where you'll…
Added 6 hours ago
LI
Senior DevOPS/Engineer
Lotus IT Solutions
Toronto, ON
- Contract
…Delivery and Procurement) is seeking a Senior DevOps/Cloud Engineer to lead the automation, configuration, deployment, monitoring, and operational enablement of enterprise platform…
Added 6 hours ago
SM
RQ11740 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior DevOps/Cloud Engineer with extensive experience in Microsoft Azure, CI/CD pipelines, deployment automation, infrastructure as code, cloud operations, and enterprise…
Added 6 hours ago
SM
RQ11740 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior DevOps/Cloud Engineer with extensive experience in Microsoft Azure, CI/CD pipelines, deployment automation, infrastructure as code, cloud operations, and enterprise…
Added 6 hours ago
SM
RQ11740 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior DevOps/Cloud Engineer with extensive experience in Microsoft Azure, CI/CD pipelines, deployment automation, infrastructure as code, cloud operations, and enterprise…
Added 6 hours ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
…partner is looking for a Senior Orbit Dynamics & Mission Analysis Engineer based in…
Added 6 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer, you will be a hands-on technical leader working across the PowerPoint for the web stack. You will design and deliver end-to-end AI-powered features, from…
Added 6 hours ago
T
Engineer II
TD
Toronto, ON
- Full-time
Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
Added 7 hours ago
Q
Verification Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…
Added 7 hours ago
J
Lead Product Manager, Technical
Jobgether
Canada
- Full-time
Preferred engineering background: Previous experience as a software engineer or in another technical role is an advantage.
Added 7 hours ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
…partner is looking for a Senior Orbit Dynamics & Mission Analysis Engineer based in…
Added 7 hours ago
Senior Software Development Engineer, AWS Transactional Services
Amazon
Vancouver, BC
We are seeking a Senior Software Development Engineer to own and a build major part for our control plane. Your work will be critical to the scalability and availability of the service.…
Added 8 hours ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution…
Added 8 hours ago
GC
Rust Backend Architect - AI Training Projects
Gramian Consulting Group
Remote, Canada
- Contract
- Remote

Nutanix

Forward Deployed Engineer - AI Inference Systems Research

Vancouver, BC, Canada

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

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job