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1,994

Demand jobs in Canada

Senior Software Engineer - Physics-Based Simulation (GPU)

Machina Labs

Chatsworth
On-site
CAD 275,000 - 413,000
12 days ago
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Outpatient OB/GYN Physician — Flexible Weekdays

Info Origin

Oakville
Hybrid
CAD 125,000 - 150,000
12 days ago

Obstetrician/Gynecologist (OB/GYN)

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Oakville
Hybrid
CAD 125,000 - 150,000
12 days ago

Therapy Assistant (OTA/PTA)

Saint Elizabeth

Mississauga
On-site
CAD 30,000 - 60,000
12 days ago

Field Sales Manager III, Public Sector, Google Cloud

Fitbit

Toronto
On-site
CAD 90,000 - 120,000
12 days ago
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Senior Director, Global Operations

SharkNinja

Canada
Remote
CAD 206,000 - 253,000
12 days ago

Direct Support Professional (DSP) - up to $27 per hour

Medium

Vista
On-site
CAD 60,000 - 80,000
13 days ago

Direct Support Professional (DSP)

Medium

Area J (Copper Desert Country)
On-site
CAD 60,000 - 80,000
13 days ago
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Lead, Device Lifecycle, Wireless

Cogeco Connexion

Burlington
Hybrid
CAD 100,000 - 125,000
13 days ago

Parts Technician

SGI CANADA

North Battleford
On-site
CAD 51,000 - 61,000
13 days ago

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Cogeco Connexion

Montreal
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CAD 85,000 - 105,000
13 days ago

Partner Operations Manager II | Gestionnaire, opérations partenaires II (Mat Leave Contract)

SYNNEX

Mississauga
On-site
CAD 70,000 - 90,000
13 days ago

System Engineer I

OpenTable

Toronto
Remote
CAD 95,000 - 106,000
13 days ago

Senior Consultant, IT Audit & Assurance (Edmonton)

Deloitte Canada

Edmonton
Hybrid
CAD 62,000 - 106,000
13 days ago

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CAD 100,000 - 140,000
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Rogers Communications

Toronto
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CAD 80,000 - 110,000
13 days ago

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Mirion Technologies

Vaughan
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13 days ago

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Summit Search Group

Grande Prairie
On-site
CAD 60,000 - 80,000
13 days ago

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Bell

Montreal
Hybrid
CAD 100,000 - 140,000
13 days ago

Director, Plant Controller and Cost Accounting

Cronos Group Inc.

Clearview
On-site
CAD 100,000 - 130,000
13 days ago

Strategic Engagement Manager: Tech Portfolio Lead

Rogers Communications, Inc.

Brampton
On-site
CAD 90,000 - 110,000
13 days ago

Commercial Account Executive

TorontoJobs.ca Recruitment Division

Toronto
Hybrid
CAD 80,000 - 100,000
13 days ago

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RBC

Toronto
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CAD 100,000 - 125,000
13 days ago

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CAD 80,000 - 100,000
13 days ago

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Senior Software Engineer - Physics-Based Simulation (GPU)
Machina Labs
Chatsworth
On-site
CAD 275,000 - 413,000
Full time
13 days ago

Job summary

A forward-thinking manufacturing company in Chatsworth seeks a Senior Software Engineer to lead GPU-based simulations for its robotic metal forming platform. You will design and implement custom simulation frameworks crucial for optimizing processes and enhancing machine learning training loops. Ideal candidates possess a strong background in simulation, GPU programming, and physics-based modeling, along with a Master's or PhD in a relevant field. This role offers a competitive salary with performance bonuses and comprehensive benefits.

Benefits

Performance-based bonuses
Comprehensive benefits
Stock options

Qualifications

  • Strong software engineering background, ideally in simulation, modeling, or graphics.
  • Experience developing GPU-based solvers or simulation engines.
  • Deep understanding of physics-based modeling and familiarity with numerical solvers.

Responsibilities

  • Architect and implement GPU-accelerated physics simulations of the robotic forming process.
  • Build solvers and simulation kernels using CUDA, C++, or similar low-level tools.
  • Collaborate closely with ML and robotics teams for real-world fidelity.

Skills

GPU programming
Simulation design
C++
Physics-based modeling
Performance optimization

Education

Masters Degree or PhD in Computer Science, Physics, Applied Math, or related STEM field

Tools

CUDA
NVIDIA Omniverse
Job description

About Machina Labs

At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 6-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer-by-layer.

Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a startup building a few thousand airframes or an automaker prototyping next-generation components, Machina Labs gives you the ability to iterate and manufacture at the speed of software.

With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on-demand, and innovation is unconstrained.

About the Role

Machina Labs is seeking a Senior Software Engineer to lead the development of high-performance, GPU-based simulations that model the physical processes underlying our robotic metal forming platform. This is a deeply technical, high-impact software engineering role, not a research position.

You’ll be responsible for designing and implementing custom simulation frameworks, from first principles, to accelerate our ML training loops, optimize process control, and build real-time feedback systems. Your work will sit at the heart of the digital twin that powers our next-gen manufacturing system.

Responsibilities
  • Architect and implement GPU-accelerated physics simulations of our robotic forming process
  • Build solvers and simulation kernels using CUDA, C++, or similar low-level tools
  • Collaborate closely with ML and robotics teams to ensure simulation supports real-world fidelity and integration
  • Drive simulation performance optimization, parallelization, and stability tuning
  • Contribute to long-term architecture for differentiable simulation and sim-to-real transfer and ultimately provide a robust solution for the real2sim2real challenge
  • Write clean, well-tested, and modular code that supports ongoing development by the broader engineering team
What We’re Looking For
  • Strong software engineering background, ideally in simulation, modeling, or graphics
  • Experience developing GPU-based solvers or simulation engines (CUDA, Warp / Taichi, etc.)
  • Deep understanding of physics-based modeling (contact, deformation, dynamics) and deep familiarity with numerical solvers, such as the finite element method and the material point method
  • Proficient in C++, with strong coding and debugging skills in performance-critical environments
  • Extensive experience with custom simulation stacks or one or more of the following platforms (NVIDIA Omniverse, Warp / Taichi)
  • Masters Degree or Phd in Computer Science, Physics, Applied Math, or related STEM field
  • Bonus: Experience in robotics, differentiable simulation, or working with ML systems

Why This Role Matters

This is a foundational hire. You will build the core simulation engine that enables our AI to learn, our robots to plan, and our systems to adapt to real-world variability. If you're excited about using cutting-edge simulation and GPU programming to solve real industrial problems—this is the opportunity.

Machina Labs is an affirmative action and equal employment opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

200000 - 300000 USD a year

In addition to the provided base salary range, this role also offers performance-based bonuses, comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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