Physical AI Developer

Line of Service
Internal Firm Services

Industry/Sector
Not Applicable

Specialism
IFS - Information Technology (IT)

Management Level
Senior Associate

Job Description & Summary
Those in Physical AI development at PwC build intelligent systems that sense, reason about, and act in the physical world. You will work at the point where AI, robotics, simulation, and edge computing meet. You will help build prototypes, digital twins, and embodied AI solutions that improve how the firm operates, and you will help show what Physical AI can do for our clients.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

As a Senior Associate, you will work alongside engineers, data scientists, and product leaders to turn early-stage concepts into working prototypes and pilot-ready solutions. You will get hands-on experience with leading tools for robotics simulation, perception, and embodied AI. You will learn how innovation is governed, secured, and scaled inside a global professional services firm

The Opportunity

As a Physical AI Developer at the Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that'll elevate your career. Your role will include, but isn't limited to:

• Building intelligent systems that sense, reason about, and act in the physical world, where AI, robotics, simulation, and edge computing meet
• Turning early-stage concepts into working prototypes and pilot-ready solutions alongside engineers, data scientists, and product leaders
• Developing digital twins and embodied AI solutions that improve how the firm operates
• Helping show clients what Physical AI can do by incubating robotics solutions and services that may become future PwC offerings
• Developing and testing robot behaviours in simulation using leading robotics simulation, perception, and embodied AI tools
• Training and evaluating machine learning models, including reinforcement learning, imitation learning, and computer vision models
• Generating synthetic data and applying sim-to-real techniques to move solutions from simulation to physical hardware
• Deploying models to edge hardware and optimizing them for real-time performance
• Translating stakeholder requests into practical robotics solutions that address real operational challenges, and incorporating feedback within the agreed scope
• Learning how innovation is governed, secured, and scaled inside a global professional services firm, and raising issues to senior team members as they arise

What You'll Bring

Your skills, knowledge, and experiences are what set you apart. Here's what we look for:

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related STEM field; Master's degree in Robotics, Computer Science, AI/Machine Learning, Computer Vision, or Electrical or Mechanical Engineering preferred
• NVIDIA Deep Learning Institute (DLI) certifications (e.g., Robotics, Isaac Sim, or Omniverse tracks) or cloud certifications (AWS, Azure, or Google Cloud)
• Proficiency in Python and working knowledge of C++; solid grounding in linear algebra, probability, kinematics, dynamics, and control theory; experience with Linux, Git, and Docker
• Experience with PyTorch (preferred), TensorFlow, or JAX; familiarity with reinforcement and imitation learning, robot foundation and VLA models (e.g., NVIDIA Isaac GR00T, OpenVLA, 0), world foundation models (e.g., NVIDIA Cosmos), and computer vision (OpenCV, object detection/segmentation, pose estimation, 3D vision)
• Hands-on experience with one or more simulators (NVIDIA Isaac Sim / Isaac Lab, Gazebo, MuJoCo, PyBullet, Webots); familiarity with NVIDIA Omniverse and OpenUSD; understanding of synthetic data generation, domain randomization, and sim-to-real
• Experience with ROS 2, MoveIt 2, and Nav2; familiarity with SLAM, motion planning, localization, sensor fusion, and sensors such as RGB-D cameras, LiDAR, and IMUs
• Experience deploying models to edge hardware (e.g., NVIDIA Jetson Orin) using TensorRT, ONNX Runtime, or Isaac ROS; familiarity with Azure, AWS, or GCP and MLOps tools (MLflow, Weights & Biases); understanding of real-time systems and performance profiling (CUDA basics a plus)
• Ability to explain complex technical ideas clearly to technical and non-technical audiences and to work well on cross-functional, often distributed teams
• Curiosity, a willingness to experiment, and comfort with ambiguity in an emerging field; awareness of AI ethics, functional safety, and responsible deployment practices
• Projects (GitHub, publications, robotics competitions, hackathons) that show hands-on Physical AI work
• Travel of up to 20% may be required for client demonstrations or events, which may occasionally include global events
• This role does not require professional engineering licensure and is not classified as a formal engineering position under provincial regulatory definitions. While individuals with a P.Eng designation are welcome to apply, the responsibilities of this role do not involve the practice of professional engineering as defined by applicable legislation

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $71,500 - $119,200. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Business Case Development, Business Process Modeling, Communication, Competitive Analysis, Creativity, Customer Needs Analysis, Customer Relationship Management, Customer Satisfaction, Digital Tooling, Digitization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Marketing Management, Market Research {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date
November 12, 2026