offres d’emploi chez NVIDIA Corporation à Canada

Extension : Opportunity for contract extension and full-time offer post performance evaluation.

Location : Can be discussed Remote / Hybrid / In-Person

Project Portfolio : Please include a link in your resume

Company Description

At Cobionix, we are pioneering the future of healthcare with our state-of-the-art autonomous robotic platform designed specifically for medical procedures. Our cutting-edge technology integrates advanced robotics to transform medical interventions, making them safer, more precise, and efficient.

About the Role

We are seeking a Reinforcement Learning Engineer to design and deploy intelligent control systems that enable autonomous operation of complex robotic platforms. This role will focus on developing learning-based policies through simulation and translating them to robust real-world performance. You’ll work across simulation, control, and perception to drive intelligent behaviour in physical robots.

This is a hands-on, high-impact role that blends state-of-the-art reinforcement learning with broader machine learning techniques — ideal for engineers who want to build real systems that learn, adapt, and operate autonomously in dynamic environments.

Responsibilities

• Design and implement learning-based control policies using reinforcement learning, imitation learning, and hybrid approaches.
• Build and maintain physics-based simulation environments (e.g., Isaac Sim, MuJoCo, Gazebo) for training and validation.
• Define state / action spaces, develop reward functions, and tune hyperparameters to align learning objectives with performance, safety, and efficiency.
• Train, evaluate, and optimize policies using libraries such as Stable Baselines3, RLlib, or custom implementations.
• Apply sim-to-real techniques including domain randomization, sensory noise injection, and continuous online adaptation.
• Transfer policies to real-world robotic systems and integrate with sensors, actuators, and motion planning stacks.
• Develop perception and classification models using supervised or unsupervised learning to support tasks such as object recognition, environment mapping, or interaction modelling.
• Analyze and process multi-modal data (e.g., vision, force, time-series signals) to extract actionable insights that inform decision-making.
• Collaborate with cross-functional teams across software, hardware, and product to iterate and validate system performance.
• Document development workflows, testing protocols, and deployment pipelines for compliance and reproducibility..

Required Experience

Nice to Have

This role is designed for someone eager to push the boundaries of what’s possible in medical robotics, providing a unique opportunity to impact the field significantly.

Cobionix Corporation is an equal opportunity employer. We are committed to providing a diverse and inclusive work environment while providing ongoing education for all employees. Qualified applicants will be considered without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We firmly believe that our differences make us stronger.

Please inform us if you require any accommodations during the recruitment process . While we thank all applicants, only those being considered for an interview will be contacted.

Seniority level

Seniority level

Entry level

Employment type

Employment type

Contract

Job function

Job function

Engineering and Information Technology

Industries

Automation Machinery Manufacturing

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