1

High Performance Computing Jobs in Quebec (NOW HIRING)

... 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 ...

CA$132/hr

Familiarity with automation and high-performance computing techniques. * Advanced level in English, to communicate with international team members * Intermediate knowledge of French, an asset Sought ...

Prior experience administering High-Performance Computing (HPC) clusters, an asset * Customer-service mindset, able to understand and communicate with a variety of stakeholders * Capacity to ...

The role operates within a globally distributed team focused on generative AI, machine learning, deep learning, high performance computing, data access, content engineering, data enhancement, and ...

New

CA$149K - CA$175K/yr

Applying quantum computing to fields like quantum chemistry, material science, and optimization problems. * High-performance computation. * Working with experimental teams. * Familiarity with coding ...

next page

Showing results 1-20

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 Jul 24, 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 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.

Does HPC pay well?

High Performance Computing (HPC) professionals typically earn competitive salaries due to the specialized skills required, such as programming, system administration, and knowledge of parallel processing. Salaries vary based on experience, education, and location but generally align with other technology and engineering roles in the industry.

What engineer makes $500,000 a year?

High Performance Computing (HPC) engineers with extensive experience, advanced skills in parallel programming, and expertise in hardware and software optimization can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles within large tech companies or research institutions. Such positions often require advanced degrees, certifications, and a strong track record of innovation and leadership in the field.

What are the key skills and qualifications needed to thrive in the High Performance Computing position, 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.

What is the highest paying computing job?

High Performance Computing (HPC) specialists, including roles like HPC engineers and computational scientists, tend to have some of the highest salaries in the computing field due to their specialized skills in managing large-scale systems, parallel processing, and high-performance hardware. Senior positions with advanced expertise in parallel programming, cluster management, and relevant certifications can earn six-figure salaries, especially in industries like finance, research, and technology. Salary levels depend on experience, location, and industry demand.

What is a High Performance Computing job?

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 is a high-performance computing job?

A high-performance computing (HPC) job involves using powerful computer systems and parallel processing techniques to perform complex calculations and data analysis at high speeds. These roles often require knowledge of programming, cluster management, and specialized software to optimize computational tasks in fields like scientific research, engineering, or data science.
Infographic showing various High Performance Computing job openings in Quebec as of July 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 17% Hybrid, and 11% Remote job distribution, with an average salary of $112,614 per year, or $54.1 per hour.

AI Hardware Validation Specialist (NVIDIA GPUs)

Fed IT

Montreal, QC • On-site

Other

Posted 6 days ago


Job description

About the Opportunity
Hello, I'm Charles Quinones, Recruitment Consultant at FED IT, specializing in permanent and contract recruitment within the Information Technology sector.
I'm currently recruiting for a well-established Canadian technology organization specializing in artificial intelligence infrastructure, high-performance computing (HPC), and advanced enterprise hardware solutions.
The company is looking for an AI Hardware Validation Specialist to join its engineering team and play a key role in validating next-generation AI computing platforms powered by NVIDIA technologies.

Mission

As part of the Engineering team, you will be responsible for validating, optimizing, troubleshooting, and supporting advanced AI-accelerated server platforms used in enterprise and high-performance computing environments.
Key responsibilities include:
Validate and test enterprise-grade AI hardware platforms featuring NVIDIA GPUs (H200, B200 and future generations);
Execute benchmarking, stress testing, and performance analysis to assess system stability and thermal efficiency;
Develop and execute comprehensive hardware validation plans;
Perform root cause analysis on GPU, memory, firmware, and system-level issues;
Optimize platform performance involving NVIDIA, AMD, and Intel technologies;
Support deployment and integration activities within laboratory and data center environments;
Validate air-cooled, direct liquid-cooled, and immersion-ready server solutions;
Install, maintain, and troubleshoot Linux-based systems;
Create automation scripts using Python and Bash for validation workflows;
Collaborate with engineering teams, technology vendors, and selected customers;
Produce detailed technical documentation and validation reports;
Stay current on emerging AI infrastructure and hardware technologies.

Your profile

Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related discipline;
5+ years of experience in hardware validation, systems integration, server engineering, or related fields;
Proven hands-on expertise with NVIDIA GPU technologies;
Strong familiarity with NVIDIA tools such as CUDA, NVML, and Nsight;
Advanced Linux administration and troubleshooting skills;
Strong understanding of server architecture, including CPUs, GPUs, memory, storage, and networking;
Experience scripting with Python and/or Bash;
Knowledge of AI infrastructure and HPC environments;
Exposure to immersion cooling or direct liquid cooling technologies is considered a strong asset;
Experience working for server manufacturers, system integrators, or OEM organizations is highly desirable.
Soft Skills
Strong analytical and problem-solving mindset;
Excellent troubleshooting and root-cause investigation skills;
Organized and detail-oriented documentation practices;
Ability to thrive in a fast-moving engineering environment;
Collaborative team player with a knowledge-sharing approach;
Self-starter who enjoys learning and tackling complex technical challenges.