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Added 2 hours ago
HB
Data Engineer - Up to $200k CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
…techniques. This is a fantastic opportunity for a data-focused engineer who enjoys building systems from the ground up and working across both data engineering and ML workflows in a…
Added 5 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Added 5 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Added 5 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 5 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
Added 5 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
Added 9 hours ago
T
Staff Machine Learning Engineer
Twilio
Remote, Canada
- Full-time
- Remote
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
Added 10 hours ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Added 10 hours ago
GC
Machine Learning Research & Engineering Specialist
Gramian Consulting Group
Remote, Canada
- Contract
- Remote
SENIORITY: Experienced / Research-Level Engineer
Added 11 hours ago
F
Senior AI Engineer (NVIDIA + LLM Inference) - Onsite - Toronto, Canada
FullStack
Toronto, ON
- Full-time
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI Engineer (NVIDIA + LLM Inference).
Added 11 hours ago
AC
Product Development Engineer - Mechanical Design For Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Position: Product Development Engineer - Mechanical Design for Liquid Cooling
Added 12 hours ago
S
Staff Software Engineer, Payments Intelligence
Stripe
Toronto, ON
- Full-time
As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large,…
Added 13 hours ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
We are looking for a Senior Forward Deployed AI Engineer, Analytics to partner directly with analytics teams and business stakeholders to turn high-value analytical problems into practical,…
Added 13 hours ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Added 13 hours ago
SL
Student, Software Engineer - Security (Winter 2027)
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
…environments. In this role, you will contribute as a software engineer while helping embed security practices into the design, development, testing and operation of project…
Added 14 hours ago
Staff Machine Learning Engineer
Twilio
ON
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
Added 14 hours ago
PG
Full Stack Engineer
Pacer Group
Toronto, ON
- $55 to $58 CAD / hour
- Contract
Added 14 hours ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $80 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 14 hours ago
AI
AI Evaluator/ Quality Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a contract role for one of our premier client in Canada for AI Evaluator/ Quality Engineer.
Added 14 hours ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Engineer features from structured and unstructured data and help ensure solutions remain robust as data evolves.
Added 15 hours ago
WT
.NET Engineer
Wissen Technology
Calgary, AB
- Full-time
We are seeking a highly skilled .NET Engineer with strong Python development experience to join our engineering team. The ideal candidate will be responsible for designing, developing, and…
Added 16 hours ago
WD
Sr. Software Engineer - Emerging Technology
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Emerging Technology Sr. Software Engineer will collaborate with engineering and production teams to build supportive tooling and agentic workflows, focusing on templates and frameworks…
Added 16 hours ago
M
Sr. AI/ML Engineer, RAIB
McKesson
Mississauga, ON
- Full-time
…scalable, and responsible AI solutions. We are seeking a Sr. AI/ML Engineer, RAIB to lead the development, evaluation, governance, and operationalization of machine learning and Generative…
Added 17 hours ago
ES
Data Engineer – Snowflake, AI/ML
Enterprise Solutions Inc.
Markham, ON
- Contract
We are seeking an experienced Data Engineer with strong expertise in Snowflake, Snowflake AI/ML, Data Science, dbt Core, AWS Cloud, and modern data engineering practices. The ideal…
Added 17 hours ago
JC
Senior Databricks Engineer (ML/AI)
Jarvis Consulting Group
Toronto, ON
- $90 to $120 CAD / hour
- Contract
Jarvis Consulting has an immediate need for a Senior ML/AI Databricks Engineer.

Nutanix

Software Engineer - C++/Linux -AI Gateway

Vancouver, BC, Canada

$103,000 to $155,000 CAD / year · Full-time

Apply About employer

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Job details

Pay: $103,000 to $155,000 CAD / year
Job type: Full-time
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 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 Enterprise AI team is responsible for strategic product areas including LLM Inference and the AI Gateway. We are at the forefront of Nutanix's mission to simplify AI deployment, recently showcasing our Agentic AI platform at NVIDIA GTC and NEXT 2026. This team is fast-paced, globally distributed, and focused on building the foundational layers of the AI stack.

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

Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.

Improve the performance of systems to deliver for low-latency and high-throughput use cases.

Optimize any part of the stack, including low-level systems.

Leverage and contribute to relevant open-source cloud native projects.

Develop scalable, efficient, and fault-tolerant observability architectures for collecting, analyzing, and reporting metrics for various platform services.

Collaborate closely with globally located product management and backend development teams to deliver high-quality products in a fast-paced environment.

Contribute to all stages of the product development cycle: technical design, development, test, experimentation, analysis, and launch.

Be a team player by reviewing code and design docs, giving feedback on product specs and mocks, and documentation.

Participate in an ongoing process definition and technology selection to ensure our technology stack is current with relevant trends.

Continuously learn and improve your technical and non-technical abilities.

What You Will Bring

2-5 years of experience developing maintainable, modular, resilient, fail-safe, and long-lasting code from a Product Development company.

Have strong programming fundamentals, data structures, and algorithms, with professional experience developing in C++.

Strong experience with Kubernetes, Docker, and cloud-native technologies, with hands-on experience working in Linux environments.

Experience building applications with C++, Go, or Python.

Experience building and managing CI/CD pipelines

Strong understanding of data center design, including computing, storage, and networking.

Familiarity with on-prem, cloud, and hybrid software deployment architectures

Good experience in designing and tuning high-performance system software

Strong understanding of distributed computing and storage architectures

Strong knowledge of OS internals, virtualization, application performance monitoring, compute storage, and networking management

Familiarity with machine learning concepts and popular frameworks (like TensorFlow, PyTorch, etc.) is a strong plus

Experience with hardware accelerators, such as GPUs, is a strong plus.

Experience working with large codebases or contributing to open source is a strong plus.

Experience in building multi-tenant services on a virtualized infrastructure is a solid plus.

Detail-oriented with a strong focus on quality, design, and user experience.

Inquisitive, highly motivated, self-starting problem solver with a drive to integrate, communicate, and work well on large projects and teams.

Track record of being reliable, responsible, and thorough.

Bachelor's/Master's in Computer Science or equivalent work experience

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 $103,000 and CAD $155,000 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

Design and develop scalable, fault-tolerant Kubernetes services, optimizing systems for low latency and high throughput while building observability capabilities. Contribute across the product lifecycle, collaborate with globally distributed teams, and participate in technical design, testing, code reviews, and technology selection.

Requirements

Requires 2–5 years of product development experience, strong programming fundamentals, and professional C++ experience, along with hands-on expertise in Linux, Kubernetes, Docker, and cloud-native technologies. Candidates should also have experience with CI/CD, high-performance systems, distributed architectures, and data center technologies; machine learning, GPUs, and open-source contributions are advantageous.

Skills

C++
Kubernetes
Docker
Linux
Go
Python
CI/CD
Cloud-Native Technologies
Distributed Computing
System Performance Optimization
Observability
Data Center Architecture
Virtualization
Machine Learning
GPU Acceleration
Open-Source Development

Benefits

RRSP Matching
Mental Health Coverage
Paramedical Benefits
Paid Maternity Leave
Paid Parental Leave
Bereavement Leave
Restricted Stock Units
Employee Stock Purchase Plan
Company Holidays
Sick Days
Wellness Days
Vacation

Visa sponsorship

Not detected in the job text

Keywords

C++
Kubernetes
Docker
Linux
Go
Python
CI/CD Pipelines
Cloud-Native Technologies
AI Gateway
LLM Inference
Generative AI
Machine Learning
GPT
Large Language Models
Nutanix Cloud Platform
Containerized Services
Fault-Tolerant Systems
Low-Latency Systems
High-Throughput Systems
Observability
Metrics
Distributed Computing
Distributed Storage
Data Center Design
Virtualization
Operating System Internals
Performance Monitoring
TensorFlow
PyTorch
GPU Acceleration

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