Line of Service
Internal Firm Services
Industry/Sector
Not Applicable
Specialism
IFS - Information Technology (IT)
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in Business Enablement work to make the firm work better. They build the platforms, tools, and solutions that help our people and clients get more done. Our teams use new technology to change how work gets done across the firm, and they turn new ideas into solutions people can actually use at scale.
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, π0), 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.
Why you’ll love PwC
We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc
PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.
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, 2026We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).
