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Added 54 mins ago
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Senior Technology Project Manager, Group Functions Technology
Manulife
Toronto, ON
- Full-time
The portfolio spans enterprise applications, platforms, cloud, data, analytics, integration, automation and AI-enabled capabilities. The successful candidate will bring the technology…
Added 2 hours ago
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Senior Advisor (Full Time) - People Insight & Analytics
Trillium Health Partners
ON · ON, Canada
- Full-time
Collaborate with the Manager, Workforce Planning & Analytics to execute corporate deliverables in a fast-paced healthcare organization and to support achievement of the hospital’s strategic…
Added 3 hours ago
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Full Stack. Net Developer
Nutrien
Saskatoon, SK
- Full-time
This position plays an important role in the Enterprise Custom Applications team within Nutrien’s IT, Upstream and Midstream IT organization. The team is responsible for the design,…
Added 4 hours ago
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Customer Success Manager, Public Sector & Defence
Cohere
Ottawa, ON
- $150,000 to $215,000 USD / year
- Full-time
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
Added 4 hours ago
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Senior Technical Program Manager (18 Month Contract)
EQ Bank
Toronto, ON
- Contract
The Senior Technical Program Manager (STPM) reports to the Director, Technical Program Management. The STPM owns end-to-end plan management and delivery execution for highly complex…
Added 6 hours ago
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Senior Consultant, Control Optimization & Analytics
CIBC
Toronto, ON
- Full-time
…developing and delivering on the Advanced Analytics team’s technical solution strategies and commitment to develop, support, and continuously improve analytics capabilities and services.…
Added 8 hours ago
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Manager, Payments Data Governance
Metrolinx
Toronto, ON
- Full-time
The Manager, Payments Data Governance is responsible for operationalizing data governance requirements across Payments, including data governance strategies and frameworks,…
Added 9 hours ago
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Expansion Account Executive
SurveyMonkey
Remote, Canada
- $56,312.5 to $66,250 CAD / year
- Full-time
- Remote
…our high-growth sales team, reporting directly to the Sales Manager. In this role, you will act as a strategic partner to our existing customers, helping them uncover the full potential of…
Added 16 hours ago
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Software Engineer 4 - Kubernetes AI Platform Engineering
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
At Nutanix, we are expanding the capabilities of the Nutanix Kubernetes Platform (NKP) to power the next generation of enterprise AI. This platform will serve as the foundation for AI/ML…
Added 16 hours ago
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Risk & Compliance Project Manager and Application Manager
Citi
Mississauga, ON
- Full-time
The Risk & Compliance Project Manager and Application Manager is a dual-mandate leadership role designed to oversee the end-to-end lifecycle, stability, and evolution of critical enterprise…
Added 1 day ago
Digital Architect
Government of Alberta
AB
The Forward Delivery & Modernization Branch is looking for two (2) Digital Architects. Reporting to the Manager, Development, the Digital Architect is a visionary and technical leader…
Added 1 day ago
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Senior Manager, Cybersecurity Operations & Vulnerability Management
CAAT Pension Plan
Toronto, ON · Head Office
- Full-time
Reporting to the Senior Director, Cybersecurity Operations and Vulnerability Management, the Senior Manager, Security Operations & Vulnerability Management leads CAAT’s enterprise security…
Added 1 day ago
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Technical Account Manager | Gestionnaire de comptes technique
Plotly
Remote, Canada
- Full-time
- Remote
As a Technical Account Manager, and a member of the Sales organization, you will be the primary point of contact for a group of enterprise customers. You will work cross-functionally with…
Added 1 day ago
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Project Manager
Thales
Ottawa, ON
- Full-time
We use artificial intelligence–enabled tools as part of our recruitment process to support activities such as candidate discovery, résumé matching, and interview scheduling. These tools may…
Added 1 day ago
BA
Project Manager - Higgs Audio (Toronto)
Boson AI
Toronto, ON
- Full-time
5+ years of project, program or product management on software products, including at least 2 years on technical products such as APIs, developer platforms or ML models
Added 1 day ago
BA
Project Manager - Higgs Audio (Toronto)
Boson AI
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
5+ years of project, program or product management on software products, including at least 2 years on technical products such as APIs, developer platforms or ML models
Added 1 day ago
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Senior Manager, Data & AI Technology
OLG
Sault Ste. Marie, ON · Toronto, ON · Foster Drive Office
- Full-time
…responsible for leading the team supporting the organization's enterprise analytics applications and Customer Data Platform, ensuring these technologies remain reliable, secure, supported,…
Added 1 day ago
MC
Project Manager - Business Change
MatchBox Consulting Group
Burnaby, BC
- Contract
The successful candidate will support the Customer Program Office within Distribution Design and Customer Connections, leading business improvement initiatives, developing reporting…
Added 1 day ago
HR
Information Technology Security Analyst
Halifax Regional Municipality
Halifax, NS
- $90,466 to $117,079 CAD / year
- Full-time
Reporting to the Manager, Cybersecurity, the Security Analyst is responsible for the implementation, administration, and maintenance of security technologies that support Halifax Regional…
Added 1 day ago
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Skywise - Business Applications & Development Tools Manager
Airbus
Waterloo, ON
- Full-time
The Business Applications & Development Tools Manager is responsible for leading the strategy, implementation, operations, and tooling for both Business Applications (spanning HR, Finance,…
Added 1 day ago
Global AI Capacity Management and Strategic Program Lead
Google
Vancouver, BC · Toronto, ON
5 years of experience in program or project management in an enterprise, cloud, or technology environment.
Added 1 day ago
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Software Developer Co-Op
Nutanix
Vancouver, BC
- $30 to $35 CAD / hour
- Volunteer
…while applying concepts from your coursework to real-world technical challenges. You'll work alongside experienced developers who will mentor and support your growth throughout your…
Added 2 days ago
Senior Manager, Community Affairs - New Brunswick
Bell
Fredericton, NB
On the Bell Business Markets team, you’ll be a vital part of making innovation happen for enterprise-scale customers. You’ll deliver advanced solutions in areas such as IoT, Mobility/5G,…
Added 2 days ago
SL
Senior Consultant, AI Strategy & Program Execution
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
This role combines strategy, structured problem solving, and hands-on program execution. The successful candidate will work across a portfolio of AI initiatives to take ambiguous problems,…
Added 2 days ago
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Manager, Finance Data and Systems - Operate
Deloitte
Toronto, ON
- Full-time
We are seeking a Manager, Finance Data and Systems to support the delivery and evolution of enterprise financial reporting, business intelligence, and data solutions. This role will work at…

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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