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Math Software Engineer Jobs in Ottawa, ON (NOW HIRING)

Graduate degree in mathematics, physics or a related field. * Experience with military (ideally Navy). * Experience with software engineering. * Experience with ERPs such as SAP, IBM Maximo.

Bachelor's degree in computer science, Math, Engineering, or related field. * 10+ years of hands-on Software and firmware Engineering Experience in cybersecurity * 10+ years expertise with C/C++ and ...

The ideal candidate is passionate about building ground and flight software solutions to automate ... mathematics etc., graduate degree an asset * 8-12+ years of relevant industry experience in GNC ...

AI Engineer

Ottawa, ON

CA$75K - CA$110K/yr

Collaborate with software, systems, and operations engineers on AI-driven features * Research and ... Bachelor's degree in Computer Science, AI/ML, Mathematics, or a related field * Strong programming ...

Pratique de la profession d'ingenieur logiciel / Professional Software Engineering Practice Course Code: SEG/CSI/ELG2911 Section: F Course Description: Principes de professionnalisme et d'ethique ...

... engineering * Minimum of 3 years teaching experience at the graduate level * Excellent communication and interpersonal skills * Proficiency in using mathematical software packages (e.g., MATLAB, R ...

QNX Senior Technical Project Manager

Ottawa, ON · On-site

CA$108K - CA$158K/yr

Act as a central point of contact between software developers, technical leads, contractors, and ... A Bachelor's degree in Engineering, Computer Science, Mathematics, or equivalent practical ...

Python Developer

Kanata, ON

CA$75K - CA$95K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. * 3+ years of professional software development experience in Python. * Strong understanding of object-oriented ...

D. in Mathematics, Computer Science, Electrical Engineering, or a closely related field with a ... Proficiency in using mathematical and AI software packages (e.g., MATLAB, Python with NumPy/SciPy)

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Math Software Engineer information

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.

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand fields like finance, technology, or with expertise in specialized skills such as machine learning or cloud computing, can earn $300,000 or more annually. Roles in leadership, such as engineering managers or principal engineers, and those at large tech companies or startups with equity compensation, often reach this level with experience and advanced skills.

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.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians as part of their scientific and technical staff, often in roles related to cryptography, data analysis, and cybersecurity. These positions typically require strong analytical skills, a background in mathematics or related fields, and security clearances. Mathematicians in the FBI may work on intelligence analysis, code-breaking, or developing algorithms for investigations.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like machine learning, data science, or working at large tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive or executive-level roles.

What are Math Software Engineers?

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.

Can you get a software engineer job with a math degree?

A math degree can be a strong foundation for a software engineer position, especially when combined with programming skills in languages like Python, Java, or C++. Many software engineering roles value analytical thinking and problem-solving skills gained through mathematics, and additional experience with software development tools and algorithms can improve job prospects.

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.

Software Development Engineer (Image Processing)

Software Development Engineer (Image Processing)

Viavi Solutions

Ottawa, ON

Full-time

Medical, Life, Retirement, PTO

Posted 28 days ago


Job description

Summary:

VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.
We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.
Title: Digital Imaging Software Engineer
Position Overview:
Our team develops optical test and measurement equipment for telecommunications laboratory and manufacturing environments. We are seeking a Digital Image Software Engineer to support the development and implementation of image processing algorithms and software applications for digital microscopy and related imaging systems.
This role is well-suited for an engineer with a solid foundation in C++ and Python, hands-on experience with image processing or machine vision, and an interest in working on real-world electro optical instrumentation products. The position emphasizes software implementation, testing, debugging, and maintenance, while providing opportunities to grow into more advanced algorithm development and system-level responsibilities.

Duties & Responsibilities:

Key Responsibilities:

  • Implement, test, debug, and maintain image processing algorithms and software applications
  • Support the development of imaging and machine vision features
  • Contribute to software development in C++ and Python on Windows and Linux platforms
  • Assist with system integration, testing, and verification of imaging and optical subsystems
  • Participate in prototyping and evaluation of imaging solutions for new and existing products
  • Collaborate with cross-functional team members throughout the product lifecycle
  • Help prepare technical documentation such as design notes, test reports, and user documentation
  • Participate as a team member in an Agile/Scrum development environment
  • Follow established coding standards, version control practices, and development processes

Required Qualifications:

  • Bachelor's degree in Computer Science, Computer/Systems Engineering, Mathematics, or a related field
  • 3+ years of professional software development experience, primarily in C/C++
  • 1-3 years of experience working with image processing, computer vision, or machine vision applications, including academic, internship, or industry experience

Pre-Requisites / Skills / Experience Requirements:

    Required Skills and Capabilities:

    • Fundamental knowledge of image processing concepts (e.g., filtering, segmentation, feature extraction)
    • Experience programming in C/C++; working knowledge of Python
    • Familiarity with common image processing and numerical libraries such as OpenCV, NumPy, SciPy, scikit-image, or PIL
    • Experience developing or debugging software on Windows; exposure to Linux environments preferred
    • Comfortable using IDEs and build systems (e.g., Visual Studio, CMake, GCC/MSVC)
    • Strong problem-solving skills and attention to detail
    • Clear written and verbal communication skills
    • Ability to work effectively in a collaborative engineering team

    Preferred Qualifications:

    • Exposure to digital microscopy, optics, or scientific/industrial imaging systems
    • Introductory experience with machine learning techniques applied to image analysis
    • Familiarity with Embedded Linux or ARM-based systems
    • Experience using version control and issue tracking tools (e.g., Git, Jira)
    • Previous experience working on a team using Agile or Scrum methodologies

    What This Role Offers:

    • Hands-on experience developing production software for advanced imaging instrumentation
    • Mentorship and technical guidance from experienced software and systems engineers
    • Opportunities to grow into advanced image processing, algorithm design, and system-level development
    • Involvement across the product lifecycle, from prototype to production

    If you have what it takes to push boundaries and seize opportunities, apply to join our team today.

    VIAVI Solutions is an equal opportunity and affirmative action employer - minorities/females/veterans/persons with disabilities.

    Job Posting Pay Range:

    84,000

    to

    156,000

    Exceptional qualifications, experience and location may impact salary. VIAVI offers a competitive benefits package that includes paid time off, health, life and disability insurance, 401(k), and a bonus program.