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High Performance Computing Jobs in Quebec (NOW HIRING)

Ddn

$181 - $265/hr

This is a quota-carrying role responsible for developing strategic enterprise opportunities and expanding DDN's presence within organizations building large-scale AI and high-performance computing ...

LawZero

Senior ML Research Developer

Montreal, QC

... high performance computing devices using PyTorch, TensorFlow, or JAX. * Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest ...

Mcgill

Senior Research Software Developer

Montreal, QC · On-site

CBRAIN is a flexible Ruby on Rails framework for accessing and processing large amounts of data across a distributed network of High Performance Computing (HPC) and Cloud Computing infrastructures.

Mcgill

Senior Research Software Developer

Montreal, QC · On-site

CBRAIN is a flexible Ruby on Rails framework for accessing and processing large amounts of data across a distributed network of High Performance Computing (HPC) and Cloud Computing infrastructures.

United Airlines

Java Developer

Montreal, QC

Implement scalable, high-performance computing solutions for market risk calculations and analytics capabilities. * Leverage AI tools to support agentic and analytical workflows while maintaining ...

United Airlines

Java Developer

Montreal, QC · On-site

Implement scalable, high-performance computing solutions for market risk calculations and analytics capabilities. * Leverage AI tools to support agentic and analytical workflows while maintaining ...

United Airlines

Java Spark Developer

Montreal, QC

... high-performance Java-based applications and data processing solutions. Build scalable backend ... Data Engineering & Distributed Computing Design and develop batch and real-time data processing ...

Alteo

Senior DevOps [#4957]

Montreal, QC · Hybrid

Be able to establish and recommend secure, reliable, and high-performance IT solutions that meet ... Infrastructure / Cloud Computing: * Automated deployment of robust solutions on one of the leading ...

Bell Canada

Technical Architect II

Montreal, QC · Hybrid

... high-performance foundation for our cloud services. * Evaluatethe technical requirements and ... Configure, monitor, and optimize the health, and performance of cloud computing physical servers ...

LawZero

Senior Distributed ML Engineer

Montreal, QC

... distributed computing environments. * Investigate performance bottlenecks, profile research ... A track record of contributing to high-quality research projects in deep learning. The title of ...

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All JobsHigh Performance Computing JobsHigh Performance Computing Jobs in Quebec

High Performance Computing information

See Quebec salary details

$26.5K

$112.6K

$197K

How much do high performance computing jobs pay per year?

As of Sep 2, 2026, the average yearly pay for high performance computing in Quebec is $112,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What job categories do people searching High Performance Computing jobs in Quebec look for?

The top searched job categories for High Performance Computing jobs in Quebec are:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 23% Part Time, 12% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $112,614 per year, or $54.1 per hour.

Client Director - Strategic AI

Ddn

On-site

$181 - $265/hr

Other

Posted 22 days ago

Job description

DDN is seeking a Client Director - Strategic AI Infrastructure to drive revenue growth in North Central US and Canada within our Artificial Intelligence business unit. This is a quota-carrying role responsible for developing strategic enterprise opportunities and expanding DDN's presence within organizations building large-scale AI and high-performance computing environments.

In this role, the Account Executive will operate as a Strategic AI Client Director, partnering with enterprise customers, research institutions, and cloud organizations to deliver high-performance data infrastructure solutions that support advanced AI workloads.

The successful candidate will work closely with internal engineering teams, solutions architects, and channel partners to design and deliver complex AI infrastructure solutions supporting GPU computing, large-scale model training, and data-intensive workloads.

Key Responsibilities

  • Act as a Strategic AI Client Director within the assigned Central US and Canada territory, driving adoption of DDN's AI infrastructure solutions across enterprise and research organizations.

  • Drive revenue growth and achieve or exceed assigned sales quota across the West Coast region.

  • Develop and execute strategic territory and account plans targeting organizations building large-scale AI and high-performance computing environments.

  • Identify and qualify new opportunities across industries including financial services, healthcare, telecommunications, technology, research institutions, and large enterprise organizations.

  • Build trusted relationships with senior technical leaders, AI infrastructure teams, and executive decision-makers within target accounts.

  • Partner with solutions architects and engineering teams to design and present AI infrastructure and high-performance data storage solutions.

  • Deliver compelling presentations, product demonstrations, and proposals showcasing the value of DDN's AI-optimized storage platforms.

  • Manage the full enterprise sales cycle including pipeline development, forecasting, contract negotiation, and deal closure.
  • Develop strong relationships with channel partners, system integrators, OEM partners, and distributors to expand market reach.
  • Stay current on market trends related to AI infrastructure, GPU computing, large-scale model training, and high-performance data environments.
  • Represent DDN at industry events, conferences, and customer engagements to generate new opportunities and strengthen market presence.
Required Qualifications

  • 8+ years of experience in enterprise technology sales, preferably within storage, compute, networking, or infrastructure platforms.

  • Demonstrated experience selling AI infrastructure, HPC solutions, cloud platforms, or enterprise data center technologies.
  • Experience managing complex enterprise sales cycles involving technical buyers and executive stakeholders.
Preferred Experience

  • Experience selling AI infrastructure, GPU clusters, or high-performance computing platforms.

  • Familiarity with the AI ecosystem including technologies from NVIDIA, Intel, AMD, Cerebras, Graphcore, or Google TPU.

  • Knowledge of enterprise storage technologies including SAN, NAS, object storage, and parallel file systems.
  • Experience working with channel partners, system integrators, and distributor ecosystems.
  • Familiarity with technologies such as Kubernetes, OpenStack, and large-scale AI data center environments.
Why Join DDN

At DDN, you will work at the forefront of AI infrastructure innovation, helping organizations solve some of the most demanding data challenges in the world. Our teams collaborate across engineering, sales, and customer success to deliver cutting-edge technology that powers the next generation of AI breakthroughs.

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