Toronto, On Developer c++/python Jobs – 80 Openings This Week

Machine Learning Lead, Edge AI Inferencing
Blumind —Markham, ON
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Engineering Group Manager, AI/ML for Chassis Controls
General Motors —Markham, ON
- $147,000–$196,600 a year
- Full-time
- Computer Science
- Engineering
- Java
- Designated paid holidays
- Dental care
8d
Mid-level/ Sr. Software Developer - Civil 3D
Autodesk —Toronto, ON
- Oracle
- DevOps
- Engineering
Director, Model Validation
BMO Financial Group —Toronto, ON
- $121,600–$211,800 a year
- Full-time
- Computer science
- Doctoral degree
- Engineering
- Tuition reimbursement
- Life insurance
Senior Backend Engineer, AI Platform
EvenUp —Toronto, ON
- $158,525–$214,475 a year
- Full-time
- Hybrid work
- Java
- C++
- Machine learning
- Designated paid holidays
- Disability insurance
Staff Software Engineer, Qualcomm AI Runtime
Qualcomm —Markham, ON
- $131,200–$181,200 a year
- Computer science
- Doctoral degree
- Computer Science
Staff Linux Software Engineer (Platform & Infrastructure) 10271
Extreme Networks —Toronto, ON
- $120,000–$135,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Employee stock purchase plan
- Disability insurance
Quick apply
Senior Software Engineer - Postgres
ClickHouse —Toronto, ON
- On call
- Remote
- Databases
- C++
- APIs
- Paid time off
Staff Cloud Software Engineer
AeroVect —Toronto, ON
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
Pre-Silicon Signoff Lead - 16513
Synopsys —Mississauga, ON
- $146,000–$219,000 a year
- Doctoral degree
- Engineering
- Master's degree
Senior Coding Instructor
Zebra robotics - Brampton —Brampton, ON
- $18–$22 an hour
- Part-time
- Computer science
- Computer Science
- Engineering
Quick apply
Staff Product Security Engineer, Reviews
Okta —Toronto, ON
- $141,000–$193,600 a year
- Hybrid work
- CAD
- Java
- C++
- Dental care
- Paid time off
7d
Staff Software Engineer
ecobee Technologies ULC —Toronto, ON
- $160,000–$214,100 a year
- Full-time
- System design
- Java
- Databases
- Disability insurance
- Dental care
Quick apply
6d
Software Quality Assurance and Automation Test Engineer-Automotive Infotainment
CIeNET International —Markham, ON
- Full-time
- Computer Science
- Engineering
- Java
- Dental care
- Vision care
Quick apply
GO - Senior Software Developer
Aylo Careers —Toronto, ON
- Full-time
- Hybrid work
- Java
- C++
- Bachelor's
Quick apply
Firmware Engineer, Senior Staff
Qualcomm —Toronto, ON
- Full-time
- Computer science
- Doctoral degree
- Computer Science
8d
Senior Software Engineer, AI Inference Systems
NVIDIA —Toronto, ON
- $170,000–$220,000 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Senior DevOps Engineer
EQ Bank | Equitable Bank —Toronto, ON
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
2d

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Engineering Group Manager, AI/ML for Chassis Controls
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Possess a valid driver’s license and the ability to operate test vehicles. Bachelor of Science degree in Mechanical Engineering, Electrical Engineering,…
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Possess a valid driver's license and have access to a vehicle with valid registration and insurance; Valid driver’s license and reliable transportation.
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Engineering Group Manager, AI/ML for Chassis Controls
General Motors —Markham, ON
Possess a valid driver’s license and the ability to operate test vehicles. Bachelor of Science degree in Mechanical Engineering, Electrical Engineering,…
$147,000–$196,600 a year
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Machine Learning Lead, Edge AI Inferencing

Blumind
Markham, ON

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Job details

Full-time

Qualifications

TensorFlow
Doctoral degree
Computer Science
Signal processing
PyTorch
Engineering
Master's degree
C++
C
Machine learning
Electrical Engineering
AI
Leadership
Python

Full job description

About Blumind

Blumind is a deep-tech startup at the forefront of the AI revolution. We are building a new class of semiconductor: ultra-low-power analog AI processors (AMPL™) designed for the extreme edge. Our technology enables complex AI, from "always-on" keyword spotting to advanced vision and language models, to run on a fraction of the power of traditional digital chips. We are on a mission to make high-performance, on-device AI ubiquitous, from wearables and smart home devices to automotive and industrial IoT.

Role Overview: The Technical Challenge

We are seeking a seasoned and innovative Machine Learning Lead to own the technical strategy and execute on optimizing and deploying next-generation neural networks on our unique analog hardware. Your primary challenge will be to bridge the gap between the world of large, complex models (hybrid SSM, transformers with compression, CNN, RNN) and the hard constraints of our ultra-low-power analog compute architecture.

You will lead the effort with a combination of architectural insight and hands-on validation and deployment along with hardware architects and software developers to define the future of our ML model stack. This is a leadership role for a technical expert who is passionate about hardware-aware ML and eager to solve novel problems in model compression, quantization, and algorithm-hardware co-design. The work is exciting, fast-paced and highly collaborative.

Key Responsibilities

Technical Leadership & Strategy: Define and execute the roadmap for ML model support on Blumind's analog platform, with a special focus on advanced architectures like Transformers, CNNs, and RNNs.
Hardware-Aware ML: Lead the research and implementation of cutting-edge optimization techniques (e.g., hardware-aware training, aggressive quantization, pruning, knowledge distillation, bitwise models, hybrid SSM/attention structures and quantum compression techniques). AI model with hardware co-optimization to deliver market leading TOPS/watt, TTFT and tokens/sec is the end goal.
Algorithm-Hardware Co-Design: Serve as the primary ML expert in discussions with the hardware team. Provide critical feedback to inform the design of future analog compute cores, ensuring they are optimized for the next wave of AI models.
Team Leadership: Help recruit, lead, mentor, and grow a high-performing team of ML engineers. Foster a culture of innovation, rigorous testing, and cross-functional collaboration.
Full Stack Development: Collaborate and guide the requirements for our ML "translator" tools, which map models from standard frameworks (PyTorch, TensorFlow) onto our proprietary analog processor.
Benchmarking & Analysis: Establish and own the pipelines for benchmarking model performance, accuracy, power consumption, and latency on silicon. Use this data to drive improvements across both hardware and software.

Required Qualifications

Education: Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning.
Experience: 6+ years in machine learning, with at least 2 years in a technical lead or senior/principal role.
Deep Learning Expertise: Expert-level knowledge of deep learning architectures, particularly Transformers (e.g., BERT, ViT), SSM (e.g., Mamba, Falcon) and CNNs, with a strong theoretical and practical understanding of their internal mechanics.
Signal Processing: Familiarity with the fundamentals of signal processing and/or DSP.
Model Optimization: Proven, hands-on experience with model compression techniques, especially quantization (QAT, PTQ).
Core ML Skills: Strong proficiency in Python and ML frameworks like PyTorch or TensorFlow.
Leadership: Demonstrated experience leading projects, hiring and mentoring junior engineers, and setting technical direction.

Preferred Qualifications

Experience in the tinyML or edge AI ecosystem.
A background in computer architecture, device physics, semiconductor design, or analog circuits.
Experience in deploying models in production environments.
Experience with C/C++ for embedded systems.
A portfolio of published research in ML model compression, efficient AI, or hardware-aware ML.

Location

Preferred location is hybrid in Toronto/Ottawa or remote anywhere else in Canada. Candidates willing to relocate to Canada will also be considered

We thank all applicants for their interest. Only candidates being considered for the role will be contacted.

Quick apply

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developer c++/python jobs in toronto, on

Machine Learning Lead, Edge AI Inferencing

Engineering Group Manager, AI/ML for Chassis Controls

Mid-level/ Sr. Software Developer - Civil 3D

Director, Model Validation

Senior Backend Engineer, AI Platform

Staff Software Engineer, Qualcomm AI Runtime

Staff Linux Software Engineer (Platform & Infrastructure) 10271

Senior Software Engineer - Postgres

Staff Cloud Software Engineer

Pre-Silicon Signoff Lead - 16513

Senior Coding Instructor

Staff Product Security Engineer, Reviews

Staff Software Engineer

Software Quality Assurance and Automation Test Engineer-Automotive Infotainment

GO - Senior Software Developer

Firmware Engineer, Senior Staff

Senior Software Engineer, AI Inference Systems

Senior DevOps Engineer

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