Truck Driver Jobs in Montreal.
All active Truck Driver roles based in Montreal.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
ML Engineer, II - App Engine
Share this job
About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.
What You’ll Do
- Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
- Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
- Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
- SDK Feature development to support the creation of Virtual Driver Software
- Support Virtual Driver Division with their usage of the Application Engine
- Creation of high-quality code including test case development
What You’ll Need to Succeed
- Experience with Embedded Software Development, especially with a focus on GPUs
- Experience with TensorRT and CUDA
- Experience in the development of real-time distributed systems
- Profound knowledge of C++ and state of the art design principles
- Familiarity with machine learning technologies (e.g. PyTorch)
- Experience with Linux
- Degree: Masters in Computer Science or Electrical Engineering
Bonus Points
- Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
- Experience in autonomous robotic or vehicle systems.
- Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
Perks of Being a Full-time Torc’r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102580
Ready to apply?
Apply to Torc Robotics
Senior, ML Engineer - ML Ops Framework
Share this job
About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale. We are the team responsible for enabling the full ML experimentation process, from ideation to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format. We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight.
What You'll Do:
You will work to build, maintain and improve our Torc ML frameworks including the following tools:
- Cloud tooling
- Terraform, AWS Managed Services, EKS, Ray
- Data ops
- Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
- ML Development pipeline
- Python, Ray, PyTorch, Lightning, Gymnasium
- Logging & aggregation, Experiment tracking, Model registry & lineage
- Visualization & dashboarding (e.g., tableau, voxel51, rerun)
- Design organization wide systems and platforms for ML Ops.
- Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
- Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
- You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.
What You'll Need to Succeed:
- Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience
- Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience
- Experience with large scale distributed training, specifically working with Ray.
- You are well versed in open-source software and make contributions.
- You have built ML solutions that have reached production
- You feel comfortable with the data science and ML iteration/lifecycle.
- You can balance multiple stakeholders when designing components of the ML development lifecycle.
- Ideal: You are familiar with model optimizations/compression for edge deployment.
- You have familiarity with compute and data platforms
- You understand how to build ML systems that scale.
- You have experience making tradeoffs for speed of development.
- You want to build, maintain, grow, and improve our ML platform
- You know that a healthy software deployment requires mature software practices
- Ideal: You love to speak with users and help them reach their goals
- Experience in the autonomous vehicle (L4) or adjacent industry.
Bonus Points!
- Reinforcement Learning for physical AI
- Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)
- Contribute to open source software and speaking at seminars or conferences.
Perks of Being a Full-time Torc’r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Hiring Range for Job Opening
US Pay Range
$199,200 - $298,800
Job ID: 102397
Ready to apply?
Apply to Torc Robotics
Senior, ML Engineer - ML Ops Framework
Share this job
About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale. We are the team responsible for enabling the full ML experimentation process, from ideation, to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format. We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight.
What You'll Do:
You will work to build, maintain and improve our Torc ML frameworks including the following tools:
- Cloud tooling
- Terraform, AWS Managed Services, EKS, Ray
- Data ops
- Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
- ML Development pipeline
- Python, Ray, PyTorch, Lightning, Gymnasium
- Logging & aggregation, Experiment tracking, Model registry & lineage
- Visualization & dashboarding (e.g., tableau, voxel51, rerun)
- Design organization wide systems and platforms for ML Ops.
- Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
- Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
- You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.
What You'll Need to Succeed:
- Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience.
- Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience.
- Experience with large scale distributed training, specifically working with Ray.
- You are well versed in open-source software and make contributions.
- You have built ML solutions that have reached production.
- You feel comfortable with the data science and ML iteration/lifecycle.
- You can balance multiple stakeholders when designing components of the ML development lifecycle.
- Ideal: You are familiar with model optimizations/compression for edge deployment.
- You have familiarity with compute and data platforms.
- You feel comfortable with the data science and ML iteration/lifecycle.
- You can balance multiple stakeholders when designing components of the ML development lifecycle.
- Ideal: You are familiar with model optimizations/compression for edge deployment.
- You want to build, maintain, grow, and improve our ML platform.
- You know that a healthy software deployment requires mature software practices
- Ideal: You love to speak with users and help them reach their goals
- Experience in the autonomous vehicle (L4) or adjacent industry.
Bonus Points!
- Reinforcement Learning for physical AI
- Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)
- Contribute to open source software and speaking at seminars or conferences.
Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.
Perks of Being a Full-time Torc’r (Canada)
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- Medical, dental, and vision for full-time employees
- RRSP plan with a 4% employer match
- Public Transit Subsidy (Montreal area only)
- Flexibility in schedule and generous paid vacation
- Company-wide holiday office closures
- Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Hiring Range for Job Opening
Canada Pay Range
$199,200 to $298,800 CAD
Job ID: 102397
Ready to apply?
Apply to Torc Robotics