Toronto, On Algorithm developer Jobs – 129 Openings This Week

Sr. Scientific Software Developer/ C++, CUDA
Altis Recruitment —Toronto, ON
- $140,000–$155,000 a year
- Full-time
- Computer Science
- English
- Research
- Wellness program
- Dental care
Quick apply
Senior Director Engineering, Home Software Applications
Generac Power Systems Inc —Toronto, ON
- $239,000–$323,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Disability insurance
- Dental care
Quick apply
IS Principal Developer Analyst – SAP ABAP
ABB Inc. —Milton, ON
- $98,700–$157,920 a year
- Full-time
- Analysis skills
- Bachelor's
- JavaScript
- Designated paid holidays
- Disability insurance
Quick apply
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Sr. Scientific Software Developer/ C++, CUDA
Altis Recruitment —Toronto, ON
*Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related STEM discipline.*. Candidates should have a strong background in scientific…
$140,000–$155,000 a year
Quick apply
Senior Director Engineering, Home Software Applications
Generac Power Systems Inc —Toronto, ON
Experience scaling software engineering organizations in the 25–50+ engineer range, including organizational design, hiring strategy, and talent development.
$239,000–$323,000 a year
Quick apply

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Sr. Scientific Software Developer/ C++, CUDA

Altis Recruitment
Toronto, ON

Quick apply

Job details

Full-time

Benefits

Extended health care
Wellness program
RRSP match
Dental care
Paid time off
On-site childcare

Skills

Rust (programming language)
Computer Science
Applied Mathematics
Mathematics
English
Google Cloud Platform
Research
Fortran
C++
Bachelor's
Distributed systems
Physics
Software development
GitHub
Linux
Communication skills
Python

Full job description

Location: Toronto, ON (Hybrid, 2 to 3 days onsite)
Language: English, with strong written and verbal communication skills
Background Check Requirement: Successful completion of a background check is required

About the Opportunity

We're looking for someone who bridges scientific research and software engineering. This role requires experience implementing advanced numerical algorithms in production-quality C++ software. Candidates should have a strong background in scientific computing, commercial software development, and hands-on CUDA programming. Experience converting research prototypes into scalable, maintainable production software is essential.

What's In It for You

This is an opportunity to work on meaningful engineering challenges alongside talented technical professionals in a collaborative and innovative environment. You'll gain exposure to advanced technologies, contribute to products with global impact, and be part of a culture that values continuous learning, knowledge sharing, and engineering excellence.

Your Responsibilities

Design, develop, and optimize high-performance numerical software using modern C++, Python, and CUDA.
Translate scientific research, mathematical models, and numerical algorithms into scalable, production-ready software.
Develop and optimize GPU-accelerated numerical algorithms and compute kernels using CUDA.
Implement parallel computing techniques, including CUDA, multithreading, vectorization, and GPU acceleration, to maximize application performance.
Collaborate closely with research scientists, mathematicians, and software engineers to transform research prototypes into robust commercial software.
Profile, benchmark, and optimize computational performance, memory usage, and scalability.
Design, implement, and maintain automated testing and validation frameworks to ensure numerical correctness, accuracy, and reliability.
Contribute to software architecture, code reviews, technical documentation, and CI/CD practices while following modern software engineering standards.
Support cross-platform software development primarily on Linux, with compatibility for Windows where required..

Skills and Qualifications

7+ years of progressive software development experience.
Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related STEM discipline.
Strong experience developing production numerical software in C++ including implementation of numerical algorithms, scientific computing methods, and performance-critical computation.
Extensive hands-on experience developing CUDA applications - mandatory
Experience with GPU programming, and parallel computing techniques is preferred.
Experience working with numerical libraries such as Eigen or BLAS is preferred.
Experience with Python is a nice to have.
Experience developing in Linux and supporting cross-platform environments.
Familiarity with performance profiling tools, GitHub Actions, CI/CD practices, and version control.
Experience with OpenMP, Rust, Fortran, Google Cloud Platform, containerization, or distributed systems is considered an asset.

#AltIT

Pay: $140,000.00-$155,000.00 per year

Benefits:

Dental care
Extended health care
On-site childcare
Paid time off
RRSP match
Wellness program

Work Location: In person

Quick apply

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algorithm developer jobs in toronto, on

Sr. Scientific Software Developer/ C++, CUDA

Senior Director Engineering, Home Software Applications

IS Principal Developer Analyst – SAP ABAP

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