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Math Software Engineer Jobs in Calgary, AB (NOW HIRING)

Targeted Talent

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

... and software engineering * Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs, LSTMs/RNNs, Transformers * Strong math skills and Python proficiency

Targeted Talent

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

... and software engineering * Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs, LSTMs/RNNs, Transformers * Strong math skills and Python proficiency

ShyftLabs

Data Engineer

Calgary, AB

Work closely with software engineers, data analysts, and data scientists to understand their data ... Degree in Computer Science, Engineering, Mathematics, or related STEM discipline . * Strong ...

Viridien

Machine Learning Engineer

Calgary, AB

Strong skills in statistics and programming, as well as knowledge of data science and software ... Qualifications Preferred Education Degree in Computer Science, Mathematics, Physics, Electrical ...

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All JobsMath Software Engineer JobsMath Software Engineer Jobs in Calgary, AB

Math Software Engineer information

See Calgary, AB salary details

$24.5K

$107.5K

$178.5K

How much do math software engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for math software engineer in Calgary, AB is $107,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a math software engineer, and why are they important?

To thrive as a Math Software Engineer, you need a strong background in mathematics, computer science, and algorithm development, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or MATLAB, along with experience using mathematical libraries and tools like NumPy or SciPy, is essential. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills that enhance performance in this role. These skills ensure the development of robust, efficient, and accurate mathematical software solutions that meet complex computational requirements.

How do math software engineers typically collaborate with other teams during the development process?

Math Software Engineers often work closely with cross-functional teams, such as data scientists, product managers, and front-end developers, to ensure mathematical models and algorithms are accurately implemented in software products. Collaboration involves regular meetings to discuss requirements, problem-solving sessions to address computational challenges, and code reviews for maintaining mathematical integrity. Communicating complex mathematical concepts in an accessible way is a key part of the role, enabling teams to create robust and efficient solutions that meet user needs.

What is a math software engineer?

Math Software Engineers are professionals who design, develop, and optimize software that performs complex mathematical computations. They often work on algorithms, numerical analysis, and simulation tools used in scientific research, finance, engineering, or data analysis. Their work ensures that mathematical models and computations are both accurate and efficient within various applications. Math Software Engineers typically have a strong background in mathematics, computer science, and programming languages such as Python, C++, or MATLAB.

What is the difference between Math Software Engineer vs Data Scientist?

AspectMath Software EngineerData Scientist
Required CredentialsBachelor's or higher in Computer Science, Mathematics, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentSoftware development teams, R&D labs, tech companiesData analysis teams, research departments, tech firms
Industry UsageDeveloping algorithms, modeling, simulationData analysis, predictive modeling, insights generation

Math Software Engineers focus on developing mathematical algorithms and software solutions, often working on simulations and modeling. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong math skills, Math Software Engineers are more involved in software development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Math Software Engineer jobs in Calgary, AB? For Math Software Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Math Software Engineer jobs in Calgary, AB look for? The top searched job categories for Math Software Engineer jobs in Calgary, AB are:
Math Software Engineer jobs near you

Senior Neural Network Kernel Software Development Engineer

Targeted Talent

Calgary, AB • On-site

$110K - $140K/yr

Full-time

Medical

Re-posted 16 days ago

Job description

Senior Neural Network Kernel Software Development Engineer


Our client is making substantial investments in software to enhance the seamless deployment of neural networks on their hardware, streamlining the experience for researchers and developers. The focus involves the optimization of various common neural networks for optimal performance on architectures, facilitated by the software optimization tool flow.

We are seeking software developers who are driven and naturally curious. The chosen candidate will contribute within agile teams, working closely with senior software engineers for mentorship. This role presents an opportunity to tackle novel challenges using cutting-edge technologies, as they build innovative systems from scratch.

As a key team member, you will specialize in constructing efficient implementations of practical neural net kernels tailored to their distinctive hardware architecture. Additionally, you will implement diverse computing algorithms, maximizing computation and communication throughput. This role involves developing a profound understanding of the architecture's intricacies, working collaboratively with the architects and compiler engineers.

Responsibilities:

  • Experience writing kernels to accelerate Neural Network execution on custom hardware accelerators (not on CPU's)
  • Design, prototype, and execute low-level, adaptable C++ programs (kernels) for various neural net operations.
  • Define, document, and communicate configuration APIs for these kernels to the compiler team.
  • Share performance optimization concepts with both compiler engineers and architects working on future product generations.
  • Develop comprehensive computation strategies spanning kernels for multichannel and multi-chip neural net implementations.

Requirements:

  • Degree in Computer Science, Engineering, Math, Physics, or related field (preferably MS or PhD).
  • Profound knowledge of modern C++, with a focus on code generation and low-level compute optimizations.
  • Familiarity with fundamental Neural Network operator algorithms - Convolutions, Transformers, RNNs.
  • Demonstrated capability to independently navigate challenging, well-defined problems.
  • Aptitude and interest in both high-level conceptual understanding and intricate technical details.
  • Enthusiasm for problem-solving within highly structured and restricted environments.

Preferred Skills and Experience:

  • Proficiency in Python.
  • Experience with other AI accelerator programming.
  • Strong mathematical aptitude.
  • Enjoyment of solving complex problems.

Our client offers:

  • Comprehensive health and extended health benefits.
  • Competitive Salary
  • Unlimited sick leave.
  • Stock options.
  • Contribution to revolutionizing chip and software technologies with global impact.
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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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