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Algorithm Scientist Jobs in Vancouver, BC (NOW HIRING)

As a Senior Software Engineer on our Geometry team, you will drive foundational algorithms for real ... D. in Computer Science, Engineering, Mathematics, or a related field with a focus on computational ...

Applying Data Science and Machine Learning best practices to develop robust models and support data ... Strong understanding of API design and service integration, machine learning algorithms ...

Senior Machine Learning Engineer

Vancouver, BC ยท On-site

CA$84K - CA$128K/yr

Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model performance, run experiments, and ...

A degree in computer science * Strong proficiency in C/C++ development * 5+ years experience ... Familiarity with advanced algorithms related to raster and vector image processing. Compensation ...

A degree in computer science * Strong proficiency in C/C++ development * 5+ years experience ... Familiarity with advanced algorithms related to raster and vector image processing. Compensation ...

A degree in computer science * Strong proficiency in C/C++ development * 5+ years experience ... Familiarity with advanced algorithms related to raster and vector image processing. Compensation ...

A degree in computer science * Strong proficiency in C/C++ development * 5+ years experience ... Familiarity with advanced algorithms related to raster and vector image processing. Compensation ...

Showing results 21-40

Algorithm Scientist information

See Vancouver, BC salary details

$15

$56

$95

How much do algorithm scientist jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for algorithm scientist in Vancouver, BC is $56.13, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $70.30 per hour, depending on experience, location, and employer.

What is an algorithm scientist?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

How does an algorithm scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are the key skills and qualifications needed to thrive as an algorithm scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

What are popular job titles related to Algorithm Scientist jobs in Vancouver, BC?

For Algorithm Scientist jobs in Vancouver, BC, the most frequently searched job titles are:

Infographic showing various Algorithm Scientist job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 28% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $116,747 per year, or $56.1 per hour.

Senior Software Developer - Backend Services

Vancouver, BC โ€ข On-site

PDF Solutions
Software Developmentย โ€ขย 201 - 500 employees

CA$120K - CA$160K/yr

Full-time

Re-posted 16 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.

Role Summary

PDF Solutions is seeking a highly experienced Senior Software Developer to design, develop, and maintain scalable backend services and distributed systems that power our industry-leading semiconductor manufacturing analytics and connectivity platforms. This role will work closely with cross-functional engineering, product, and customer-facing teams to deliver robust, high-performance solutions that enable data-driven decision-making across advanced semiconductor manufacturing environments.

The ideal candidate will have a strong background in backend architecture, cloud-native services, APIs, and enterprise-scale software development. Experience in the semiconductor industry is highly preferred.


Responsibilities
  • Design, develop, and maintain scalable backend services, APIs, and microservices architectures.
  • Build high-performance systems capable of processing large volumes of manufacturing, equipment, and analytics data.
  • Design execution pipelines, data structures and algorithms with a focus on performance, parallelism, thread safety and distributed execution.
  • Collaborate with product management, solutions engineering, and software teams to translate business requirements into technical solutions.
  • Develop secure, reliable, and maintainable software following industry best practices.
  • Optimize application performance, scalability, and system reliability.
  • Participate in architecture reviews, technical design discussions, and code reviews.
  • Troubleshoot and resolve complex production issues while driving root-cause analysis and long-term solutions.
  • Mentor junior developers and contribute to the continuous improvement of engineering standards and development processes.
  • Support DevOps initiatives including CI/CD pipelines, automated testing, monitoring, and cloud deployment strategies.

Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field.
  • Minimum 8 years of professional software development experience with a strong focus on backend systems and services.
  • Strong programming experience in one or more of the following languages:
    • C#
    • Python
    • C++
  • Experience designing and developing RESTful APIs, distributed systems, and microservices architectures.
  • Strong understanding of database technologies including SQL and NoSQL platforms.
  • Experience working with cloud environments such as AWS, Azure, or Google Cloud Platform.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong knowledge of software design patterns, data structures, algorithms, and system architecture.
  • Experience with CI/CD pipelines, source control systems, and automated testing frameworks.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and collaboration skills.

Nice to Have

  • Experience within the semiconductor manufacturing, semiconductor equipment, or semiconductor software industry.
  • Familiarity with semiconductor manufacturing workflows, yield management, process control, metrology, inspection, or equipment connectivity solutions.
  • Experience with large-scale data processing, analytics platforms, or industrial IoT environments.
  • Knowledge of manufacturing systems integration including MES, SPC, APC, or factory automation systems.
  • Experience working in customer-facing technical environments and supporting enterprise software deployments.

Pay Range
CAD $120,000.00 - CAD $160,000.00 /Yr.Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field.
  • Minimum 8 years of professional software development experience with a strong focus on backend systems and services.
  • Strong programming experience in one or more of the following languages:
    • C#
    • Python
    • C++
  • Experience designing and developing RESTful APIs, distributed systems, and microservices architectures.
  • Strong understanding of database technologies including SQL and NoSQL platforms.
  • Experience working with cloud environments such as AWS, Azure, or Google Cloud Platform.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong knowledge of software design patterns, data structures, algorithms, and system architecture.
  • Experience with CI/CD pipelines, source control systems, and automated testing frameworks.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and collaboration skills.

Nice to Have

  • Experience within the semiconductor manufacturing, semiconductor equipment, or semiconductor software industry.
  • Familiarity with semiconductor manufacturing workflows, yield management, process control, metrology, inspection, or equipment connectivity solutions.
  • Experience with large-scale data processing, analytics platforms, or industrial IoT environments.
  • Knowledge of manufacturing systems integration including MES, SPC, APC, or factory automation systems.
  • Experience working in customer-facing technical environments and supporting enterprise software deployments.
Education:UNAVAILABLEEmployment Type: FULL_TIME