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 11 mins ago
Apple Field Engineer
Optimal Growth Technologies
Ottawa, ON
We are seeking a hands-on Field Apple Engineer to assist with the configuration, setup and deployment of applications across Apple devices. The successful candidate will be responsible for…
Added 1 hour ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Contribute to all stages of the product development cycle: technical design, development, test, experimentation, analysis, and launch.
Added 1 hour ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Contribute to all stages of the product development cycle: technical design, development, test, experimentation, analysis, and launch.
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 2 hours ago
GC
Algorithm Software Engineer
Garmin Canada
Cochrane, AB
- Full-time
Experience using AI‑assisted development tools (e.g., script generation, refactoring, test creation) to improve development efficiency and code quality.
Added 2 hours ago
A
Intermediate Software Engineer
AltaML
Calgary, AB
- $90,000 to $110,000 CAD / year
- Full-time
…skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people…
Added 2 hours ago
GR
Mechanical Engineer
Goldbeck Recruiting
Winnipeg, MB
- Full-time
Analyze test results and field feedback, identify root causes, and implement design improvements.
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
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 2 hours ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 2 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
The Service team is currently seeking a Software engineer/designer to specialize in resolving service issues with a focus on Injection Molding Machine controls, including servo drive and…
Added 3 hours ago
A
Electrical Quality Control Inspector
Actalent
Pickering, ON
- $60 to $65 CAD / hour
- Contract
We are seeking an Electrical Quality Control Inspector to support the Inspection Test Plan (ITP), initiate Non-Conformance Reports (NCRs), close out inspection reports, and complete…
Added 3 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 3 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 3 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 3 hours ago
W
Ingénieur en test et conception mécanique / Test & Mechanical Engineer
Wabtec
Montreal, QC
- Full-time
L’équipe Actuateurs de portes, périphériques et test se spécialise dans la conception, l’adaptation, le prototypage, les tests et la validation de produits électromécaniques complexes; pour…
Added 4 hours ago
C
Event Streaming Engineer - Kafka / Azure Event Hubs
Coforge
Canada
- Full-time
We are looking for a Senior Event Streaming Engineer / Lead to design and implement event-driven integration solutions using Azure Event Hubs and Apache Kafka.
Added 4 hours ago
A
Ingénieur ou ingénieure en systèmes de contrôle
Alithya
Pickering, ON
- Full-time
As a control systems engineer, you’ll work as part of a technical project team on technically challenging and interesting projects, mostly within the nuclear industry, to deliver technical…
Added 4 hours ago
MC
Senior Direct Response Copywriter - High-Ticket Coaching (Remote)
MM Coaching Limited
Remote, Canada
- Contract
- Remote
…doctors, finance people), the broader market, the analytical "engineer" type, testimonial ads, mechanism ads, and ads for different awareness levels. You write the scripts and the primary…
Added 4 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
Q
High Speed Validation Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
You can lead a project, define test plans, bring up silicon, debug issues, present test results, and deliver full validation reports. You will also:
Added 5 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 5 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 5 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 5 hours ago
AI
Intermediate Mechanical Design Engineer
Aversan Inc.
Cambridge, ON
- $76,000 to $105,000 CAD / year
- Full-time
Examine project instructions and drawings to determine test specifications, procedures, objectives, and test equipment

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