Reports To:  Sr. Manufacturing Engineering Manager, Automation Integration

Position Summary:

IEM is currently seeking a Control Engineering Technician for our Surrey, BC and will report into the Senior Manufacturing Engineering Manager for the automation integration team. The Technician is responsible for installation, calibration, maintenance, and troubleshooting automated manufacturing systems to improve safety, quality, and productivity. This role supports automation projects from concept through installation, validation, and production launch while supporting ongoing manufacturing operations.

Key Responsibilities:

• Assist in the design, development, and implementation of automated manufacturing systems and equipment
• Support automation projects through installation, testing, validation, and production startup
• Support programming, troubleshooting, and optimization of PLCs, HMIs, robotics, and vision systems, including assisting with root cause analysis for downtime events
• Assist in the creation and maintenance of process documentation, including work instructions, PFMEAs, and control plans
• Work closely with production, maintenance, quality, and supply chain teams to support daily manufacturing operations
• Collect and analyze production data to help improve throughput, reduce scrap, and increase OEE
• Assist with capital equipment projects, including vendor coordination and basic project tracking
• Follow and support compliance with safety, quality, and regulatory standards
• Participate in continuous improvement initiatives using Lean and Six Sigma methodologies
• Perform additional duties as assigned to support the team and organization

Qualifications

• Technical degree or certification in electrical or mechanical engineering technology
• 1-5 years of experience in manufacturing automation
• Hands-on experience with PLCs, robotics, HMIs, and vision systems
• Strong troubleshooting, data analysis, and problem-solving skills
• Experience leading projects and working with external vendors
• Working knowledge of Lean Manufacturing and Six Sigma principles
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization

Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Salary Range: $25-27.50CAD

Position Summary:

IEM is currently seeking a Senior Manufacturing Engineer (Manufacturing Engineer, E3) for our Surrey, B.C. locations and will report into the Senior Manager of Manufacturing Engineering. The Senior Manufacturing Engineer is a key technical leader responsible for driving strategic initiatives and delivering robust, scalable, and cost-effective manufacturing solutions. This role oversees the development, optimization, and support of advanced manufacturing processes, with a focus on operational excellence, automation, and continuous improvement. The Senior Engineer will lead cross-functional efforts to implement cutting-edge technologies, ensure regulatory compliance, and achieve world-class performance in quality, safety, and throughput. This position demands deep expertise in Lean, Six Sigma, process validation, and smart manufacturing systems, as well as strong leadership and mentoring capabilities.

Please note: This position requires 100% in-office presence in our Surrey offices and does not offer remote work. 

Key Responsibilities:

• Lead the design, development, and deployment of advanced manufacturing processes and production systems across new and existing product lines.
• Drive automation and Industry 4.0 initiatives to enable smart, data-driven manufacturing and improve operational agility.
• Serve as the technical authority in cross-functional teams involving operations, quality, R&D, and supply chain to ensure product manufacturability, scalability, and cost-effectiveness.
• Facilitate and lead high-impact kaizen events, root cause investigations (RCA), and the implementation of corrective/preventive actions (CAPA).
• Develop and maintain comprehensive documentation including process flow diagrams, SOPs, work instructions, and training guides to ensure consistency and compliance.
• Optimize production line layouts, material flow, and takt time using Lean methodologies to increase efficiency and reduce waste.
• Own and drive continuous improvement of key performance indicators (KPIs) such as yield, cycle time, scrap rate, and OEE (Overall Equipment Effectiveness).
• Lead capital project initiatives including equipment selection, procurement, commissioning, and validation (IQ/OQ/PQ).
• Ensure all processes and equipment meet applicable safety, quality, and regulatory standards (e.g., ISO, UL, OSHA, FDA as applicable).
• Champion cost reduction strategies through design for manufacturability (DFM), value engineering, and process automation.
  
  Qualifications:
• Bachelor’s degree in Mechanical, Industrial, or Manufacturing Engineering; Master’s degree or advanced technical certifications (e.g., Lean Six Sigma Black Belt) strongly preferred.
• 7–10+ years of progressive experience in a manufacturing engineering role, ideally within high-volume or complex electromechanical production environments.
• Proven expertise in Lean Manufacturing, Six Sigma, Standard Work, process mapping, and statistical process control (SPC).
• Proficient with CAD software, ERP systems, and manufacturing execution systems (MES); experience with digital manufacturing tools and data analytics is a plus.
• Demonstrated hands-on experience with automation systems, robotics, PLCs, machine vision, or other Industry 4.0 technologies.
• Strong leadership, communication, and project management skills, with a track record of cross-functional collaboration and mentoring junior engineers.
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization
• Strategic thinker with a continuous improvement mindset and a passion for driving operational excellence.

Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. 

[Compensation: CAD $45.67 - 56.25/hr] 

About the role:

The Safety team is pioneering the application of AI to make physical operations safer at global scale. We build intelligent systems that combine computer vision, VLMs, sensor data, environmental context, and behavioral patterns to detect risk and prevent accidents before they happen for some of the largest, most complex physical operations companies in the world. We’re looking for an entrepreneurial, technically-minded Product Manager to take one of our largest and fastest-growing businesses - Video-based Safety - to the next level. This is a high-ownership role launching and scaling new safety products for our customers, leveraging data from our millions of deployed devices.

In this role, you’ll define and build the core components of our perception and prediction stack, deepening our understanding of the road, environment, and surrounding vehicles and using that understanding to change driver behavior. You'll be empowered to experiment boldly, challenge conventional thinking, and demonstrate the transformative power of AI when applied to the most challenging and complex operational environments.

We’re looking for someone with a high degree of customer-obsession and a passion for changing the physical world. The ideal candidate has spent time as a founder or early startup engineer / PM with deep experience applying AI/ML to solve customer problems, and has led at-scale products. You'll collaborate closely with our dedicated teams in Engineering and Design, as well as work cross-functionally with Sales, Marketing, and Customer Success to propel our video-based safety product to its next phase of growth.

Our ambitions for this product are high, and we're excited to invite you to join us!

This is a remote position open to candidates residing in Canada.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Define and lead the roadmap for core components of Samsara’s perception stack running on millions of vehicles worldwide.
• Develop AI/ML models that enable Samsara to have a comprehensive understanding of driver behavior and crash risk and interventions required to reduce that risk.
• Work with our talented engineering teams to conceptualize and launch new safety products to help drive a fast-growing, at-scale business with $1 Billion+ in ARR.
• Build relationships with customers at the forefront of physical operations to deeply understand their business, their needs, and inform our roadmap.
• Lead by example in using AI tools to accelerate product development, customer research, and decision-making.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 7+ years in a product management and/or product-oriented engineering role.
• Track record of delivering business results for both 0-to-1 and at-scale products.
• Demonstrated experience and passion working on products that leverage state of the art AI/ML/CV.
• Strong technical background, ability to grasp technical concepts, and establish credibility with engineers.
• Experience balancing priorities across a complex set of business goals and engineering teams.

An ideal candidate also has:

• Deep experience creating and growing products leveraging video data.
• Facility with development and deployment of AI/ML models, including training and evaluation pipelines.
• Understanding or experience with foundation models, model quantization and distillation.
• Experience in autonomous vehicles, robotics, physical operations, or on products with a vertically integrated hardware + software stack.
• Familiarity with B2B SaaS products and working with B2B sales teams.

About the role:

We are looking for a Senior Machine Learning Engineer to lead the architectural evolution of our safety systems. You will move our ML stack from siloed, end-to-end models toward a unified Perception Platform Layer. Your mission is to build the robust infrastructure that translates raw sensor data into real-time, high-stakes decisions, ensuring our models perform reliably across both cloud and edge environments.

This is a remote position for candidates based in the US.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will work on the following: 

1. Platform Architecture & Unification

• Architect a Unified Perception Layer: Lead the transition from fragmented, task-specific models to a modular perception platform that supports reusable components and downstream safety applications.
• System Design: Design and implement real-time ML systems—from sensor ingestion and tracking to risk reasoning and actuation—ensuring clear interfaces and predictable system behavior.
• Hybrid Deployment: Orchestrate model integration across edge and cloud environments, managing versioning, rollouts, and mission-critical fallback mechanisms.

2. Performance & Reliability Engineering

• Latency Ownership: Own end-to-end latency and reliability for safety-critical pipelines. You will profile, schedule, and optimize messaging and backpressure across the entire stack.
• Observability & Feedback Loops: Build sophisticated monitoring for deployed models to detect drift, false positives/negatives, and latency regressions. You will "close the loop" to ensure production data informs the next iteration of training.

3. Rigorous Evaluation & Safety

• Safety Cases: Develop evaluation frameworks specifically for rare "long-tail" safety events. You will define metrics and build targeted test sets that form the basis for principled ship/no-ship decisions.
• Explainability: Partner with Applied Scientists to ensure research outputs are translated into production code that is not only performant but also debuggable and explainable.

4. Technical Leadership

• Strategic Influence: Shape the system abstractions early in the platform transition to minimize technical debt and maximize future scalability.
• Mentorship: Set the engineering standard for correctness and performance. You will mentor junior and mid-level engineers, fostering a culture of rigorous ML engineering.

Minimum requirements for the role:

• Experience: 6+ years of experience in ML Engineering, with a proven track record of shipping models in production (ideally in safety-critical domains like robotics, automotive, or industrial AI).
• Systems Mastery: Deep understanding of distributed systems, performance profiling, and computer vision.
• Infrastructure Fluency: Experience with Cloud ML workflows (AWS/GCP/Azure) and containerization, paired with an understanding of the constraints of edge hardware.
• Architectural Mindset: You don't just write code; you design systems. You understand the trade-offs between model complexity and operational reliability.

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience with containerization technologies (e.g., Docker, Kubernetes), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code (IaC) frameworks
• Familiar with deploying and managing ML applications in cloud environments, as well as leveraging cloud-based services for data storage, processing, and inference
• Experience building end-to-end ML applications from scratch

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

As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.

Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments.

This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.

What You’ll Do

• Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
• Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
• Write production-quality ML code to support scalable training, evaluation, and inference pipelines
• Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
• Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
• Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
• Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
• Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
• Contribute to model architecture decisions and technical discussions within the team
• Mentor junior engineers on implementation, debugging, and best practices

What You’ll Need to Succeed

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience
• Experience developing and deploying deep learning models for computer vision or perception systems
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
• Experience training and evaluating models using large-scale datasets and distributed compute environments
• Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)
• Experience debugging model behavior, analyzing performance metrics, and improving model reliability
• Ability to translate ambiguous problems into structured ML solutions and deliver independently
• Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems

Bonus Points:

• Experience in autonomous driving, robotics, or simulation-based ML systems
• Experience with multi-task learning or unified perception architectures
• Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks
• Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)
• Experience deploying ML models into production or real-world robotics systems

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

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 6% 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. 

Job ID:  R-102584

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. 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 Autonomous Driving Kit Component Enablement & Calibration (ADkit CE&E) team plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform.  

We are currently seeking a Senior Software Engineer who is enthusiastic about thriving in a hands-on environment and ready to grow with the team and leading our way toward productization. 

We develop, research and design scalable solutions to calibrate and configure the ADKit components to their peak operational possible state. We work with multi-modal sensors systems including cameras, Lidars, radars and IMU on real vehicles and Hardware-in-the-Loop systems to develop our best-in-class sensors spatial orientation. Our contribution directly supports the safety, performance, and robustness of autonomous driving capabilities.  

We design adaptability into our software to support the wide range of ADkit sensor configuration needed to keep our truck generation operation on the path to productization. The team engages with diverse stakeholder, spanning from commercial partners to end customers, to reduce calibration related obstacle associated with adopting autonomous trucking.  

Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight.  

What You’ll Do 

As a Senior Software Engineer on AdKit CE&C, you will be directly involved in bringing our software solution toward its long-term implementation. To successfully accomplish this, you would need to:  

• Own the design and architecture for a scalable sensor calibration pipeline in C++, leveraging available libraries (OpenCV, linear algebra libraries) for real-time and offline calibration. 

• Deep expertise in linear algebra to lead the design and implementation of spatial computational system for multi-modals sensor platforms. Apply advanced mathematical rigor using Lie groups, quaternions, and 3D transformations to ensure accurate spatial calibration.  

• Lead the development of specialized dedicated libraries allowing sensor-to-sensor extrinsic calibration (lidar-camera, imu-lidar, etc.) using multi-sensor targetless detections during robotics missions.  

• Experience with camera intrinsic and extrinsic calibration.  

• Drive the design and maintenance of simulation tools and data pipelines for sensor modeling, calibration validation, and large-scale regression testing. 

• Collaborate cross-functionally with perception, simulation, and platform teams to define calibration requirements, set best practices, and ensure robustness across hardware configurations and software releases. 

• Establish and maintain CI/CD-integrated calibration workflows using Docker, Bazel, and Git to enable reproducible, automated testing and deployment. 

• Lead deep-dive debugging and root-cause analysis of complex sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualization utilities. 

• Mentor junior engineers and contribute to technical reviews, fostering a culture of high-quality software design and code excellence. 

What You’ll Need to Succeed 

• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5–7+ years of experience (or a Master’s Degree with 3–5+ years of experience). 

• Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling. 

• Advanced experience with OpenCV, ROS, and numerical libraries for computer vision and robotics applications. 

• Deep understanding of multi-sensor calibration (camera, Lidar, IMU) in robotics or autonomous systems. 

• Strong mathematical foundation in 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) transformations. 

• Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel). 

• Demonstrated experience designing scalable software architectures and leading technical initiatives. 

• Excellent problem-solving skills and ability to drive cross-team technical alignment. 

Bonus Points! 

• Familiarity with non-linear least squares solvers (e.g., Ceres, g2o) and large-scale optimization. 

• Background in sensor simulation, synthetic data generation, or validation frameworks. 

• Prior contributions to ROS-based open-source calibration or robotics tools. 

• Experience influencing technical roadmaps and defining long-term software strategies. 

• Uses vim as a primary editor (yes, still really). 

• Willingness to travel occasionally. 

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. 

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

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 6% 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. 

Job ID: 102610

Build the Path Forward

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We are seeking a highly skilled and technically proficient Field Service Technician to join our dynamic team focused on revolutionizing manufacturing processes. As a key member of our technical workforce, you will be responsible for operating, maintaining, and troubleshooting advanced robotic welding systems and automation equipment. This role demands a strong understanding of engineering principles, hands-on experience with mechanical and electrical systems, and the ability to integrate cutting-edge technology into diverse manufacturing environments.

This is a remote role based in Canada. Employment will be facilitated through a locally compliant entity.

What You’ll Do

• Operate and maintain a state-of-the-art multi-robotic welding system, demonstrating proficiency in robotic kinematics and dynamics.
• Load, monitor, and inspect welded assemblies with precision utilizing robotic vision systems and sensors.
• Accurately manage inventory of parts and completed assemblies.
• Conduct preventive maintenance, troubleshooting, and repairs on automation equipment and cells, both locally and at customer sites.
• Record and analyze data to facilitate engineering-driven issue resolution.
• Monitor cell performance and ensure precise part fit-up.
• Operate specialized machines integrated into customer manufacturing processes.
• Integrate autonomous welding cells into customer manufacturing processes, demonstrating proficiency in robotic system integration and communication protocols.
• Service and maintain pneumatic systems, welding equipment, robotics, and electrical automation devices.
• Integrate autonomous welding cells into customer manufacturing processes.
• Gain expertise in Forge processes, including operating the cell through command prompts and code changes.
• Interface with customers to optimize equipment efficiency.
• Collaborate with engineering resources to troubleshoot issues promptly.
• Inspect, clean, and replace electrical and mechanical components.
• Demonstrate adaptability to evolving needs and rapid developments in the field.
• Willingness to travel extensively (75%+ of the time) to customer sites

Who You Are

• Technical training, Trade School certification, Associate degree in Engineering Tech, or equivalent industry experience.
• Hands-on experience in the design, assembly, and troubleshooting of mechanical and electrical systems, preferably in manufacturing equipment.
• Welding experience is desirable, but certifications are not mandatory.
• Fluent in English and Spanish is desirable, but not required
• Familiarity with fabrication or machine shop processes.
• Comfortable with learning and using programming languages.
• Detail-oriented with experience handling small and fragile components.
• Passionate about collaborative work in a dynamic environment.
• Eagerness to learn and grow in the field.

Why You'll Love It Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours

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. 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 Autonomous Driving Kit Component Enablement & Calibration (ADkit CE&E) team plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform.  

We are currently seeking a Senior Software Engineer who is enthusiastic about thriving in a hands-on environment and ready to grow with the team and leading our way toward productization. 

We develop, research and design scalable solutions to calibrate and configure the ADKit components to their peak operational possible state. We work with multi-modal sensors systems including cameras, Lidars, radars and IMU on real vehicles and Hardware-in-the-Loop systems to develop our best-in-class sensors spatial orientation. Our contribution directly supports the safety, performance, and robustness of autonomous driving capabilities.  

We design adaptability into our software to support the wide range of ADkit sensor configuration needed to keep our truck generation operation on the path to productization. The team engages with diverse stakeholder, spanning from commercial partners to end customers, to reduce calibration related obstacle associated with adopting autonomous trucking.  

Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight.  

What You’ll Do 

As a Senior Software Engineer on AdKit CE&C, you will be directly involved in bringing our software solution toward its long-term implementation. To successfully accomplish this, you would need to:  

• Own the design and architecture for a scalable sensor calibration pipeline in C++, leveraging available libraries (OpenCV, linear algebra libraries) for real-time and offline calibration. 

• Deep expertise in linear algebra to lead the design and implementation of spatial computational system for multi-modals sensor platforms. Apply advanced mathematical rigor using Lie groups, quaternions, and 3D transformations to ensure accurate spatial calibration.  

• Lead the development of specialized dedicated libraries allowing sensor-to-sensor extrinsic calibration (lidar-camera, imu-lidar, etc.) using multi-sensor targetless detections during robotics missions.  

• Experience with camera intrinsic and extrinsic calibration.  

• Drive the design and maintenance of simulation tools and data pipelines for sensor modeling, calibration validation, and large-scale regression testing. 

• Collaborate cross-functionally with perception, simulation, and platform teams to define calibration requirements, set best practices, and ensure robustness across hardware configurations and software releases. 

• Establish and maintain CI/CD-integrated calibration workflows using Docker, Bazel, and Git to enable reproducible, automated testing and deployment. 

• Lead deep-dive debugging and root-cause analysis of complex sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualization utilities. 

• Mentor junior engineers and contribute to technical reviews, fostering a culture of high-quality software design and code excellence. 

What You’ll Need to Succeed 

• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5–7+ years of experience (or a Master’s Degree with 3–5+ years of experience). 

• Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling. 

• Advanced experience with OpenCV, ROS, and numerical libraries for computer vision and robotics applications. 

• Deep understanding of multi-sensor calibration (camera, Lidar, IMU) in robotics or autonomous systems. 

• Strong mathematical foundation in 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) transformations. 

• Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel). 

• Demonstrated experience designing scalable software architectures and leading technical initiatives. 

• Excellent problem-solving skills and ability to drive cross-team technical alignment. 

Bonus Points! 

• Familiarity with non-linear least squares solvers (e.g., Ceres, g2o) and large-scale optimization. 

• Background in sensor simulation, synthetic data generation, or validation frameworks. 

• Prior contributions to ROS-based open-source calibration or robotics tools. 

• Experience influencing technical roadmaps and defining long-term software strategies. 

• Uses vim as a primary editor (yes, still really). 

• Willingness to travel occasionally. 

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.

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 matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
• 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. 

U.S Compensation Range: $160,000-193,000/yr

Job ID: 102610

Meet the Team: 
As a Machine Learning Engineer II – Learned Behaviors, you will help develop and deploy  behavior models that power decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations. 
 
This role focuses on building, validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack. 
 
What You’ll Do 

• Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning. 

• Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios. 

• Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data. 

• Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments. 

• Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation. 

• Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration. 

• Contribute to technical discussions around model architecture and training strategies within the team. 

 
 
 
 
What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

 
 
Bonus Points! 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray). 

• Experience working with simulation environments or large-scale behavior datasets. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102515

Meet the Team: 
As a Machine Learning Engineer II – Scene Model, you will help develop and deploy machine learning models that enable autonomous trucks to understand their surrounding environment. Our team focuses on building multi-modal perception systems in bird’s-eye-view (BEV) that fuse information from LiDAR, cameras, radar, and map inputs to produce a unified representation of the scene.  

Working closely with teams across perception, prediction, planning, and platform infrastructure, you will contribute to models that detect objects, understand road structure, and generate spatial temporal representations used by downstream autonomy systems.  

This role focuses on developing and improving deep learning models, training pipelines, and data workflows that power scene understanding within the autonomy stack. 

What You’ll Do 

• Develop and train machine learning models for scene understanding, including tasks such as object detection, road and lane prediction, semantic voxel grid classification, occupancy prediction, and map understanding in bird’s-eye-view (BEV) space. 

• Implement production-quality ML code to support model training, evaluation, and inference within the perception stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness across diverse driving environments and conditions. 

• Identify and interpret objects, lanes, obstacles, and weather conditions in the driving environment. 

• Apply data science techniques to analyze model performance, understand data distributions, and identify corner cases. 

• Contribute to multi-modal perception systems, combining signals from LiDAR, cameras, radar, and map sources into unified scene representations. 

• Work with large-scale datasets from simulation, fleet logs, and on-vehicle data to curate training data and improve model performance. 

• Collaborate with data, deployment, and infrastructure teams to evaluate perception models and ensure reliable performance in real-world driving scenarios. 

• Help integrate perception models into the autonomy stack and testing pipelines, enabling faster experimentation and iteration. 

• Contribute to tooling and infrastructure that improves training efficiency, experiment tracking, and reproducibility. 

• Participate in technical discussions around model architectures, sensor fusion strategies, and training approaches within the team.  

What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Strong understanding of computer-vision, and machine learning basics. 

• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

• Good technical communication skills, written and verbal. 

• A positive team-player mindset.  

Bonus Points! 

• PhD in machine learning or data science. 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with distributed training frameworks or large-scale ML infrastructure (e.g., Ray, Anyscale). 

• Experience working with simulation environments or large-scale behavior datasets. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

• Experience with multi-modal sensor fusion, including LiDAR, cameras, radar, or map inputs. 

• Experience working with BEV representations, occupancy grids, or 3D scene representations. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102517

Meet the Team: 
As a Machine Learning Engineer II – End-to-End, you will help develop and deploy End-to-End models that power both perception and decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to End-to-End models that enable safe, efficient, and human-like driving in real-world freight operations. 
 
This role focuses on building, validating, and improving machine learning models and infrastructure that support End-to-End systems within the autonomy stack. 
 
What You’ll Do 

• Develop and train machine learning models for End-to-End percetion and planning, including approaches such as imitation learning and reinforcement learning. 

• Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios. 

• Contribute to model training pipelines and data workflows, curating datasets from simulation, fleet logs, and on-vehicle data. 

• Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate End-to-End models across diverse driving environments. 

• Help integrate End-to-End models into simulation and testing workflows, enabling faster iteration and more comprehensive validation. 

• Support the development of tooling and infrastructure that improve experimentation speed, reproducibility, and model iteration. 

• Contribute to technical discussions around model architecture and training strategies within the team. 

 
 
 
 
What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Experience applying machine learning techniques such as computer vision, imitation learning, or reinforcement learning, to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in End-to-End systems, such as BEV models, Transformers, VLA, or diffusion models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

 
 
Bonus Points! 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray). 

• Experience with VLA or Neural Rendering. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102514

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: 

As a Staff Machine Learning Engineer specializing in BEV (Bird’s-Eye View) and Multi-Modal Perception, you will lead the development of next-generation models that unify information across cameras, LiDAR and radar to deliver a rich spatial understanding of the driving environment. 

You will drive architectural innovation, large-scale model training, and data-driven improvements that directly advance the perception capabilities at the heart of Torc’s autonomous driving stack. 

This is a technical leadership role focused on model innovation and maturity, not downstream feature integration. 

What You’ll Do 

• Lead BEV model development: Define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding). 
• Design advanced multi-modal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified spatial representations.
• Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene representations.
• Own large-scale training workflows — from data sampling strategies and augmentation pipelines to distributed training and hyperparameter optimization.
• Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare scene configurations.
• Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.
• Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model interfaces.
• Mentor and guide ML engineers, cultivating best practices in experimentation, code quality, and model validation.
• Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, or foundation models for 3D perception. 

What You’ll Need to Succeed 

• 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems
• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent practical experience).
• Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
• Strong background in multi-modal sensor fusion, particularly integrating camera and LiDAR data.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with large-scale data pipelines, distributed training, and experiment management systems.
• Demonstrated leadership in driving ML model innovation and mentoring technical teams. 

Bonus Points! 

• Experience with autonomous driving or robotics perception in production environments.
• Experience with MLOps and infrastructure tools (Ray)
• Hands-on expertise in BEV-based ML architectures, LiDAR-vision fusion, or spatial-temporal modeling.
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
• Track record of publications or open-source contributions in top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL).
• Understanding of performance tradeoffs and deployment constraints (latency, memory, accuracy). 

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. 

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

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. 

CAD Compensation Range: $209,300-313,800 CAD

Job ID: 102405

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: 

As a Staff Machine Learning Engineer focused on Road & Lane Detection, you will lead the model development efforts that enable Torc’s autonomous vehicles to perceive and interpret road geometry, lane structures, and drivable surfaces with precision and robustness. 

You’ll define the next generation of deep learning architectures and data-driven approaches that extract high-fidelity road and lane semantics from multi-modal sensor data — driving critical improvements in perception accuracy, stability, and scalability. 

This is a technical leadership role focused on model innovation and maturity, not downstream feature integration. 

What You’ll Do 

• Own the model roadmap for Road & Lane Detection within the Model Dev ML org — from concept through production-grade model maturity. 

• Research, design, and train advanced neural architectures (e.g., multi-camera BEV transformers, LiDAR-vision fusion models, topological lane graph networks) to detect, segment, and model road structures and lane connectivity. 

• Lead data strategy for this domain — defining data curation, labeling policies, and active learning pipelines to capture long-tail scenarios (e.g., occlusions, complex merges, construction zones). 

• Develop robust metrics and evaluation frameworks for lane and road geometry accuracy, temporal consistency, and cross-domain generalization. 

• Advance foundational capabilities such as self-supervised pretraining, synthetic-to-real adaptation, and temporal modeling for road and lane understanding. 

• Drive large-scale experiments — designing, running, and analyzing results from distributed training workflows and ablations to identify scalable improvements. 

• Collaborate with other model dev/perception teams to ensure model coherence and interface consistency. 

• Mentor engineers and scientists, setting best practices for model training, evaluation, and code quality. 

• Stay ahead of the research frontier by evaluating and adapting emerging techniques (e.g., BEV-based large models, vectorized map prediction, lane graph transformers) to production-grade perception. 

What You’ll Need to Succeed 

• 10+ years of experience developing deep learning models for perception or computer vision at scale. 

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience). 

• Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation. 

• Strong understanding of lane and road geometry modeling, camera calibration, and sensor projection. 

• Proficiency with Python and modern ML frameworks (e.g., PyTorch, Lightning). 

• Experience with distributed training pipelines, experiment management, and large-scale dataset handling. 

• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable model improvements. 

Bonus Points! 

• Experience developing ML models for autonomous driving, mapping, or ADAS systems. 

• Familiarity with multi-modal fusion (camera, LiDAR, radar, HD maps). 

• Hands-on experience with BEV-based and topological prediction models. 

• Contributions to perception-related ML research (CVPR, NeurIPS, ICCV, ICLR, ICRA). 

• Strong intuition for data quality, bias mitigation, and uncertainty modeling. 

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

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  

CAD Compensation Range:

$209,300-313,800 CAD

Job ID:  R-102402

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

#LI-BJ1

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

#LI-BJ1

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

#LI-BJ1

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

#LI-BJ1

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

#LI-BJ1

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

#LI-BJ1

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:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

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. 

US Base Pay Range:

$177,300 - $234,000

Job ID: R-102432

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:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

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. 

US Base Pay Range:

$160,800 - $212,300

Job ID: R-102432

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:  

Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc. The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data. 

What You’ll Do:  

• Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
• Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. 
• Stay up to date with the latest developments in AI and ML for autonomous driving.
• Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining 
• Documentation of created applications. 
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. 
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Measure and track auto labeling quality to meet internal customer requirements.
• Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner. 
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. 
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.  
• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.  

What You’ll Need to Succeed:  

• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. 
• Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus.  Mentors and guides engineers within the group.  
• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;  
• Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR; 
• Doctorate Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 1+ years of experience. 
• Required Qualifications (some combination of the following skills):    
  • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
  • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
  • Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality. 
  • Distributed machine learning frameworks - PyTorch, Lightning, Ray. 
  • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc). 
  • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.  

Bonus Points! 

• Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc). 
• Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau. 
• Cloud Development – Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).   
• Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.  

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: 102399

Summary

We are looking for a well-rounded Senior Staff / Principal level Functional Safety Engineer with 8+ years of experience in the semiconductor industry to lead and drive Automotive IC products to achieve ISO 26262 functional safety compliance at ASIL D. The ideal candidate has a solid track record of independently managing safety projects through successful certification and brings strong knowledge of ASPICE Level 3 process development.

This role will be a hands-on technical leader, ensuring safety compliance across the full IC lifecycle, conducting audits and assessments, and serving as the primary point of contact for safety-related concerns with OEMs, Tier 1 customers, and partners.

This position is located in: Canada - Remote

Key Responsibilities

• Lead end-to-end functional safety activities for Automotive ICs in compliance with ISO 26262 (ASIL D).
• Define, implement, and maintain Safety Plans, Safety Concepts, FMEDA, Safety Manuals, and Safety Cases.
• Implement System Element out of context (SEooC), Assumption of Use (AoU) apprach and derive safety goals with ASIL decomposition strategies.
• Drive technical safety architecture definition for digital, analog, and mixed-signal ICs, including design and verification of safety mechanisms (ECC, lockstep CPUs, watchdogs, voltage/clock monitors).
• Perform and lead FMEA, FMEDA, and FTA analyses ensuring ASIL metrics (SPFM, LFM, PMHF) are satisfied.
• Independently conduct Functional Safety Audits, Confirmation Measures, Assessments, and Reviews.
• Collaborate with internal design, verification, and software teams to ensure freedom from interference and safe partitioning of ASIL vs. QM functions.
• Partner with OEMs, Tier 1 customers, and external assessors to address safety issues, support audits, and resolve concerns.
• Perform HW evaluation on non-compliance Ips (internal and external based)
• Support ASPICE Level 3 process development, ensuring alignment of FuSa with broader quality and process frameworks.
• Mentor junior functional safety engineers and help shape best practices across the organization.

Qualifications

• Bachelor’s or Master’s degree in Electrical/Electronic Engineering, Computer Eng., or related discipline.
• 8+ years of experience in Semiconductor development, specifically Automotive ICs.
• Proven record of leading functional safety projects independently through ASIL D certification.
• Strong knowledge of ISO 26262 (Part 2–11) and related standards.
• Past involvement in ASPICE Level 3 infrastructure and process development.
• Deep hands-on experience with:
• FMEA, FMEDA, FTA, DFA
• Fault injection testing and safety metrics analysis
• Safety mechanism design and verification
• Familiarity with requirements management tools (DOORS, Jama, Polarion) and safety analysis tools.
• Excellent communication skills to interface effectively with OEMs, Tier 1s, certification bodies, and cross-functional teams.

Preferred Skills

• Background in digital/analog/mixed-signal SoC design.
• HW/SW tool evaluation and classification
• Sound knowledge and background in ASPICE (up to level 3) and Cyber Security (ISO/SAE 21434).
• Strong experience in external audits and assessor engagement (e.g., TÜV, Exida and UL).
• Good understanding of Automotive relevant standards and tools i.e., IATF 16949, AEC-Q100, PPAP, APQP and five core Automotive tools.

Personal Skills:

• Excellent communication/documentation skills.
• Attention to details.
• Collaboration across multidisciplinary and international teams.

What You Can Expect from Ethernovia:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours
• Medical, dental and vision insurance for employees

Salary Range:

• The actual offered base salary will vary depending on factors such as work location, individual qualifications, specializations, years of experience, skills, job-related knowledge, and internal equity. The annual salary range for this position is $140,000 CAD - $200,000 CAD. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.

#LI-Remote

Senior Embedded Software/Firmware Engineer (Device Drivers)

Location:

• Multiple Positions in Canada
• 100% Remote work
• Preference for those in or adjacent to Eastern Time Zone

Summary:

You will be responsible for the Ethernovia’s Networking devices software stack development this may include Embedded Firmware, kernel/user mode device drivers, stack extensions, debug, and test utilities as well as automated unit/system testing. The drivers will integrate with the Communication Stack of a Linux and AUTOSAR Stack. The device drivers will allow the User application, Middleware and Operating system to take full advantage of the feature rich hardware. As for the firmware it configures, controls, and monitors the communication device and interacts with the host system via device drivers to expose hardware features of the devices. Firmware code may also run as a standalone library within the device driver itself

As a part of the Software team, you will be responsible for architecture, design, implementation, testing, and integration of the device drivers rolled into Ethernovia’s SDK. These drivers are built ground-up for safety critical automotive application.

Also, we build products with strict adherence to Functional Safety and hence every team member is required to fit into a culture of safety and best development practices.

Technical Qualifications

• Bachelors or Master’s degree in Computer Science/Software or related field.
• Work Experience: 6+ years
• Strong understanding of Software Development lifecycle including Architecture, Implementation and Testing fundamentals.
• Proficient in C/C++ Programming Language. Experience in Python is a plus.

• Experience with Software Device Drivers, preferably for communication devices like Ethernet.
• Deep understanding of Operating Systems, Kernel, Platform/Device drivers, preferably Linux Operating System, QNX or Real Time Operating System.
• Experience with integration and testing with Operating System Device Driver Interfaces.
• Hands-on experience with Hardware, preferably communication devices.
• For Firmware role:
• Experience with Firmware, preferably for communication devices like Ethernet.
• Experience with Embedded firmware, preferably for communication devices like Ethernet.
• Experience with integration and testing of firmware and low-level code.
• Hands on Experience with Hardware and embedded processors, preferably for communication devices.
• Expertise in efficient code practices for code footprint and performance.

Nice to Have Experience with

• AUTOSAR Communication Stack
• MCAL
• Experience with simulation and emulation platforms.
• GNU or similar compiler, debugging suite.
• Embedded programming, preferably with communication devices and hardware buses like I2C, SPI, Ethernet, USB.
• Building Automotive or other safety critical systems using qualification methods/processes like MISRA, ASPICE and ISO26262.
• Communication/networking protocols like Ethernet MAC, PHY, Switching, TCP/IP, Security, Serdes, PCIe, NTB, and SR-IOV.
• Video processing standards and protocols
• Code Version Control and Review tools/processes like Perforce/Git, Swarm.
• Build systems like Yocto.
• High performance drivers and test tools preferably networking and communications.
• Virtualization and virtualized device drivers
• Mixed Signal systems - Analog, Digital, Digital Signal Processing (DSP).
• ARM family of processors or similar embedded processors.
• Bootloaders like uboot or similar.

Soft Skills

• Self-motivated and able to work effectively both independently and in a team.
• Excellent communication/documentation skills.
• Attention to details.

What you’ll get in return:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours
• Medical, dental and vision insurance for employees
• Flexible vacation time to promote a healthy work-life balance

Salary Range:

• The actual offered base salary for Canadian locations will vary depending on factors such as work location, individual qualifications, specializations, experience, skills, job-related knowledge, and internal equity. We would not anticipate that the individual hired into this role will be at or near the top half of the range provided, but the decision will be dependent on the factors of each individual case. The annual salary range for this position is $175,000 - $240,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.

Ethernovia Canada was established in Feb. 2020 with Senior Digital, Analog, and Software Engineers. Start remote with a hybrid remote/in-person flexibility in the future. Ideally you would be close enough to attend in-person meetings and work at least part time on site when the planned office in the greater Toronto/Markham area is opened. Fully remote applicants will also be considered. We have multiple international locations enabling us to pull in leading talent in various required disciplines so virtual communication is commonplace. 

Senior ASIC Design Verification Engineer

Summary:  

• As a Senior ASIC Design Verification Engineer, you will be responsible for all aspects of digital SoC verification.
• You will work the architects, designers, and SW engineers to plan and execute verification and validation of advanced automotive communication semiconductors and systems.
• You will contribute to a positive, trusting, and cohesive working environment based on integrity and strong work ethics.
• This position is located in: Canada - Remote

Key Qualifications:

• BS and/or MS in Electrical Engineering, Computer Science, or related field
• Minimum 10+ years of ASIC verification experience
• Strong understanding of ASIC verification fundamentals and industry standard methodologies
• Experience with Verilog/System Verilog, UVM, Python, TCL, C/C++
• Experience with the full verification flow, from spec to coverage analysis to gate level sim
• Debugging failures in simulation to root cause problems
• Self-motivated and able to work effectively both independently and in a team

Additional Success Factors:
Experience in any of the following areas:

• Networking (Ethernet MAC, PHY, Switching, TCP/IP, security, PCIe and other industry standard protocols)
• Video standards, protocols, processing
• Digital signal processing filters
• Third party IP (SerDes, controllers, processors, etc.)
• Modular and Reusable Testbench architecture
• Design for re-use of pre and post silicon tests and infrastructure
• Automation of testbench creation, tests, regression, or EDA tools
• Knowledge of SystemC and/or DPI

Personal Skills:

• Excellent communication/documentation skills.
• Attention to details.
• Collaboration across multidisciplinary and international teams.

What You Can Expect from Ethernovia:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours
• Medical, dental and vision insurance for employees

#LI-Remote

Junior Data Scientist

The Wiley Edge banking team is currently seeking a Data Scientist to work across the Front Office Trading, Risk & Regulatory Compliance Trade Analytics group, using Machine Learning and Data Analytics techniques to design and develop complex data models for client and trading analytics across their Fixed Income and FX offerings.

You will be supporting the transformation from traditional controls monitoring to “on-screen” data driven monitoring and analytical solutions.

Tools:

• Python (pandas, numpy)
• Machine Learning Algorithms / Natural Language Processing (NLP)
• AI / Robotics
• Predictive Analysis
• Good grasp of ML Algorithms

Starting Salary: CA$85,000 per annum

Junior Data Scientist

Are you a master of manufacturing fluent in French eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of industrial efficiency, knowledge sharing, and operational excellence. With high‑quality training data, tomorrow’s AI can streamline production processes, enhance workforce training, and support global manufacturing systems. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for manufacturing specialists who live and breathe production systems, lean manufacturing, quality control, process optimization, industrial automation, supply chain management, and workplace safety—especially with knowledge of standards and practices in French-speaking regions. You’ll challenge advanced language models on topics like Six Sigma, Kaizen, GMP, ISO standards, preventive maintenance, materials handling, CNC and robotics, OEE, and production scheduling—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model in both English and French on real-world manufacturing scenarios and technical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A master’s degree in industrial engineering, manufacturing, mechanical engineering, or a closely related field is ideal; professional certifications (e.g., Lean Six Sigma, PMP), fluency in French, and hands‑on experience in manufacturing environments signal fit. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your manufacturing expertise and French fluency into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: Manufacturing Specialist (Fluent in French) – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level