Find work in Canada.

500,312 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 24 mins ago
M
Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
…into robust technical solutions, working closely with product, architecture, QA, DevOps and business stakeholders to deliver modern digital solutions that are reliable, maintainable and…
Added 39 mins ago
JI
IT Business Analyst, Halifax
J.D. Irving, Limited
Dartmouth, NS
- Full-time
All successful applicants must meet requirements for Canadian Controlled Goods Program (CGP), Canadian Government Security clearance, and U.S. International Traffic in Arms Regulations…
Added 54 mins ago
RI
Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
Expert-level proficiency in Java, including Core Java, Java 17+, Spring Boot, Spring Framework, microservices architecture, and REST/gRPC APIs, and/or strong production experience in Python…
Added 54 mins ago
M
RQ00832 - Privacy Impact Assessment Specialist - Senior
Maarut
Toronto, ON
- Contract
Knowledge of technology architecture and infrastructure, digital health solutions and services, enterprise and corporate IT including information and cyber security preferred
Added 1 hour ago
MT
Senior Cloud Analyst
Marmon Technologies India Pvt Ltd
SK
- Full-time
Security posture management, vulnerability remediation and configuration hardening.
Added 1 hour ago
E
Développeur(euse) logiciel senior / Senior Software Developer
Eaton
Brossard, QC
- Full-time
Contribue à l’architecture et à la conception des systèmes en collaboration avec les experts techniques.
Added 1 hour ago
PA
Electrical Designer
Prodomax Automation Ltd.
Barrie, ON
- Full-time
Safety architecture and plan layouts for safety audit purposes
Added 1 hour ago
NB
Salesforce Developer
National Bank of Canada
Montreal, QC
- Full-time
Contribute to the evolution of the application architecture and promote best practices in quality, security, and performance.
Added 2 hours ago
Solutions Engineering Lead, International Upmarket Customers
Toast
Toronto, ON
Lead security, IT and compliance reviews. Own vendor security questionnaires, PCI scoping conversations and the technical sections of RFPs.
Added 2 hours ago
Senior Solutions Engineer
Toast
Toronto, ON
Lead security, IT and compliance reviews. Own vendor security questionnaires, PCI scoping conversations and the technical sections of RFPs.
Added 3 hours ago
CB
Backend Developer
Canadian Bank Note Company
Ottawa, ON
- $75,000 to $86,000 CAD / year
- Full-time
Platform Architecture & Multi-Tenant Solutions
Added 3 hours ago
C
Senior Backend Engineer (CFG)
CommIT
Toronto, ON
- Full-time
…commercial side of the product. CFG members handle development, architecture, product, and direct customer interaction: translating customer needs into the product, building new features,…
Added 3 hours ago
HB
Data Engineer - Up to $200k CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
This role is ideal for someone who enjoys owning the full data lifecycle - from database architecture and performance tuning to enabling advanced analytics and ML use cases. You’ll…
Added 3 hours ago
B
Tech Lead - Application Development N 4C
BrightClaim
Montreal, QC
- Full-time
· Familiar with security hardening concepts for hosting applications or middleware, including transport encryption, modern single sign-on authentication and authorization mechanisms
Added 6 hours ago
CF
Code Enforcement Officer
Canandaigua Fire Dept
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
Possession of an Associate’s Degree, or higher, in Architecture, Civil or Structural Engineering, Construction Technology or a closely related field; OR
Added 6 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…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…
Added 6 hours ago
CO
Temporary Solutions Integration Specialist (up to 8 months)
City of Saint John
Saint John, NB
- Temporary
Administer and monitor the security measures and configurations for applications and databases to ensure compliance with policies and standard operation procedures
Added 6 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
…Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration frameworks, ensuring the reliability, scalability, and security of critical…
Added 6 hours ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
Design and architecture of business solutions and applications, translating business requirements into secure, scalable, and supportable technology solutions aligned with enterprise…
Added 6 hours ago
N
Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
…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…
Added 6 hours ago
SL
Senior Security Platform Developer, Security Automation (Python, Splunk SOAR)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Collaborate with infrastructure, application, security and architecture teams to develop scalable and supportable integrations between security platforms and enterprise systems.
Added 6 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Report: You will report to a Senior Software Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Added 6 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Report: You will report to a Senior Software Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Added 8 hours ago
Network Designer
Rogers Communications
Brampton, ON · Toronto, ON
In-depth knowledge of Any-G Wireless Core technologies, including 5GC, LTE, and 3G call flows, 3GPP architecture, and deployment and integration in large-scale carrier environments.
Added 8 hours ago
Network Designer
Rogers Communications
Calgary, AB · Brampton, ON · Ottawa, ON · Montreal, QC
…technologies, share knowledge with others, and help influence technical architecture, design strategies and…

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