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 2 hours ago
N
Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
…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…
Added 2 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Identify, evaluate, and adapt emerging stretch blow molding technologies, packaging applications, and industry trends to sustain Husky's competitive advantage.
Added 3 hours ago
NS
Marketing Coordinator
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
…products, fall protection, suspended access, agri-business field services, electrical services, and safety training to mining site services, fabrication, rentals, repairs, testing and…
Added 3 hours ago
A
Airworthiness Certification Engineer
Actalent
Ottawa, ON · Nepean, ON
- $65 to $80 CAD / hour
- Contract
Job Title: Airworthiness Certification Engineer
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 4 hours ago
A
Ingenieur Mecanique - Mechanical Engineer
Actalent
Terrebonne, QC
- $46 to $77 CAD / hour
- Contract
Troubleshoot mechanical issues in the field and identify root causes.
Added 5 hours ago
Software Engineer I
Planview Incorporated
Vancouver, BC
We're seeking a Software Engineer-I to join our Platform Engineering -Intelligence Platforms team in Vancouver, BC. This is a hybrid role, and team members are expected to be in the office…
Added 5 hours ago
Q
High Speed Validation Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
Added 6 hours ago
J
Telecommunications Payload System Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Telecommunications Payload System Engineer based in…
Added 6 hours ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
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
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 8 hours ago
N
Senior Data Reliability Developer
nesto
Canada
- Full-time
…won't just be "checking results"; you will be a specialized engineer focused on the integrity, reliability, and scalability of our data pipelines. You will collaborate closely with Data…
Added 8 hours ago
BD
Sr. Engineer, Mine Closure
Burgundy Diamond Mines
Yellowknife, NT
- Full-time
Added 8 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Identify, evaluate, and adapt emerging stretch blow molding technologies, packaging applications, and industry trends to sustain Husky's competitive advantage.
Added 8 hours ago
GM
Projects Engineer, Technical Services
Gibraltar Mine
McLeese Lake, BC
- Full-time
We are looking for a motivated and personable engineer to join our team as Projects Engineer at Gibraltar Mine. This position would provide a great opportunity for a registered professional…
Added 8 hours ago
D
Principal Software Engineer, Docker Hardened Images
Docker
Remote, Canada
- Full-time
- Remote
…companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker…
Added 9 hours ago
TT
Intermediate Mechanical Engineer
Tetra Tech
Thunder Bay, ON
- Full-time
Tetra Tech is adding a Intermediate Mechanical Engineer to our Mechanical team based in Thunder Bay, ON . This is a new vacant position for which we are actively recruiting.
Added 9 hours ago
TT
Junior Electrical Engineer (EIT)
Tetra Tech
Vancouver, BC
- Full-time
Tetra Tech is adding an Electrical Engineer-in-Training (EIT) to our Electrical team based in Vancouver, BC .
Added 9 hours ago
C
Graphic Designer
CIMA+
Calgary, AB
- Full-time
At CIMA+, you’ll find a place where your ideas and perspectives are welcomed and encouraged. In both the field and at the office, you’ll get plenty of opportunities to reach your full…
Added 9 hours ago
Engineering - Automotive HVAC Product Engineer
Crestline
Saskatoon, SK
We’re looking for an Automotive HVAC Product Engineer to join our Engineering team in Saskatoon. This role will serve as Crestline’s subject-matter specialist for automotive HVAC systems…
Added 9 hours ago
GI
Java Software Engineer
G-FORCE IT SERVICES INC
ON · Ontario, Canada
- Full-time
We’re looking for a skilled Java Developer to design, build, and maintain scalable, high-performance applications. You’ll work with a collaborative team of engineers, QA, and product owners…
Added 9 hours ago
A
Reliability & Maintainability Engineering
Actalent
London, ON
- $36 to $40 CAD / hour
- Contract
Job Title: Reliability & Maintainability Engineer

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