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High Performance Computing Jobs in Vancouver, BC

Photonic

VP, Hardware

Coquitlam, BC · On-site

Experience in quantum computing, photonics, semiconductors, or similarly complex, high-performance deep-tech environments * History of building organizations from early stage through scale, including ...

NETINT Technologies Inc.

Accountant

Burnaby, BC · On-site

... computing. Its Codensity portfolio enables enterprise, cloud data centers, and content providers to deploy high-performance applications that they can scale without limit while minimizing their data ...

Photonic

Principal PIC Design Engineer

Coquitlam, BC · On-site

Experience in designing high-performance optical switches and modulators (high speed in GHz range ... computing * Enjoy a fast-paced and fun environment where you can try new things while solving ...

Fortinet, Inc.

Software Developer

Burnaby, BC · On-site

CA$96K - CA$118K/yr

Job Responsibilities * Design and implement high-availability and high-performance server ... Familiar with TCP/IP and distributed network computing in Linux/Unix environment * Capable of ...

Fortinet

Software Developer

Burnaby, BC · On-site

CA$96K - CA$118K/yr

Job Responsibilities * Design and implement high-availability and high-performance server ... Familiar with TCP/IP and distributed network computing in Linux/Unix environment * Capable of ...

Photonic

Quantum Engineer

Coquitlam, BC · On-site

... computing system. Please include a cover letter with your resume (in one file) describing how you ... high quality data efficiently that answers fundamental technical questions and pushes performance ...

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High Performance Computing information

See Vancouver, BC salary details

$26.6K

$113.2K

$198K

How much do high performance computing jobs pay per year?

As of Aug 22, 2026, the average yearly pay for high performance computing in Vancouver, BC is $113,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,390.00 and $143,707.00 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 are popular job titles related to High Performance Computing jobs in Vancouver, BC?

For High Performance Computing jobs in Vancouver, BC, the most frequently searched job titles are:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Vancouver, BC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 21% Hybrid, and 7% Remote job distribution, with an average salary of $113,171 per year, or $54.4 per hour.

Senior Python Software Developer

PDF Solutions

Vancouver, BC

CA$120K - CA$155K/yr

Full-time

Re-posted 14 days ago

Job description

Overview

At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

This work involves building robust Machine Leanring (ML) modeling pipeline in Python to achieve desired ML model performance on metrics of customer interest (e.g. yield, tolerance). Broken into steps, the work is roughly an equal mix of tweaking core ML algorithms / pipelines for enhanced model performance with desired computational speed and/or creating deployment-ready software in our proprietary architecture.

This role offers a unique opportunity to deploy non-trivial ML modeling pipeline into production along with associated systems, and seeing the impact of those models in action at some of the world’s largest chip manufacturers for wide variety of use cases. This is not a Hadoop/Spark-focused big data role but rather an ML-focused role but may also include general software engineering tasks as well, depending on what is needed to make the overall product and platform successful and production-ready. Our deployment environment is markedly different from typical cloud deployment with constant access for updates or bug-fixes. Roughly stated, the production requirements are closer to a self-driving robot than a cloud-integrated image recognition service.

An ideal candidate has invested time in continuous learning and implementing algorithms either using an existing framework/library or from scratch and understands failure modes of various algorithms in production. Additionally, the ideal candidate has collaborated with Data Scientists to put ML code into production.


Responsibilities
  • Implementing production grade scalable ML algorithms and analytics solutions
  • Improving computational performance of ML algorithms and analytics solutions
  • Interact with Software Engineers and Data Scientists to create clean API interfaces

Qualifications
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 8+ years of experience in back-end development in python.
  • 4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing

Pay Range
CAD $120,000.00 - CAD $155,000.00 /Yr.Qualifications:
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 8+ years of experience in back-end development in python.
  • 4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing
Education:UNAVAILABLEEmployment Type: FULL_TIME

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