Physical AI R&D Scientist
EY, Palo Alto, California
EY, Palo Alto, California
EY is scaling Physical AI capabilities in California (Palo Alto) to serve as a premier engagement hub for clients, industry leaders, startup founders, alliance partners, investors, and the broader innovation ecosystem.
We are seeking a highly organized, client-centric, and operationally driven Assistant Director to technically drive the development and validation of various Physical AI and robotics showcases for EY.ai Labs (Palo Alto).
The candidate will work closely with the Experience Lead- EY.ai Labs (Palo Alto) as well as collaborate with the Physical AI R&D team (based out of Alpharetta, Georgia), the EY Physical AI leadership, client account teams and alliance partners to build reusable accelerators and industry showcases.
The role requires a combination of deep technical expertise, hands-on engineering capability, and the ability to communicate complex concepts to technical and executive audiences. The ideal candidate has experience developing robotic AI systems in simulation and on physical platforms and is comfortable operating in an applied R&D environment that focuses on measurable business outcome and client value.
In this role, you will be responsible for the development and advancement of Physical AI capabilities and ensuring its success at the EY.ai Labs (Palo Alto). Your key responsibilities will include:
Vision-Language-Action models, Robot Foundation Models and related technologies.
that enable robotic perception, reasoning, planning, manipulation, navigation, and human-machine interaction.
other means), reinforcement learning, imitation learning, policy evaluation, and sim-to-real transfer.
development frameworks for potential inclusion in EY’s Physical AI portfolio.
technical teams as part of the lab network from other locations, to share code, datasets, models, and reusable assets.
client workshops, executive briefings and innovation sessions.
and business priorities and translate that into requirements which would help drive development roadmap.
disclosures, reference architectures, internal learning materials, and external technical presentations, subject to EY IP and publication processes.
reproducibility, responsible AI, and safe robotics development.
with global roadmap, strategy, client demand, industry relevance, and commercialization priorities.
Isaac Sim, Isaac Lab, Cosmos, or comparable platforms would be a huge plus.
Physical AI technologies or assets prior to client engagements, as well as coordinate the customization of demonstrations, showcases, presentations, and experience journeys to ensure relevance and impact for each audience.
emerging Physical AI capabilities in alignment with EY commercialization priorities.
To excel in this role, you will need a blend of strong hands-on experience in Physical AI, along with exceptional communication skills and am innovation mindset, as well as strong interpersonal skills and the ability to coordinate between technical and business teams. Key attributes include:
computer vision, or autonomous systems research and development.
World foundation models and/or other AI models.
language commonly used in robotics systems along with experience designing, training, fine-tuning, and evaluating machine-learning models using frameworks such as PyTorch or equivalent technologies.
comparable robotics simulation and synthetic-data platforms would be highly beneficial.
2, and with the integration of sensors, actuators, cameras, and robotic platforms.
planning, control, reinforcement learning, imitation learning, and sim-to-real transfer.
considerations associated with AI-enabled physical systems is a must-have.
technical problems, research questions, experiments, and prototype architectures.
to explain complex technical concepts to engineers, business leaders, clients, and ecosystem partners in high-visibility engagements into business relevant client experiences and engagement journeys.
collaborative multidisciplinary environment involving engineering, business, alliance, and client stakeholders.
mindset.
automation, digital twins, simulation, and intelligent systems.
or a related discipline.
including development of VLA-based robotic systems or multimodal foundation-model applications for planning, manipulation, navigation, or human-robot interaction.
associated accelerated computing platforms would be a plus.
imitation learning, teleoperation data, domain randomization, and sim-to-real transfer, deploying robotics or AI workloads on edge-computing systems and optimizing models for inference latency and resource constraints.
Azure), MLOps practices, robotics data pipelines, and distributed training environments.
robotic systems.
art-of-the-possible technical showcases.
venture capital firms, startups, and technology ecosystems is a bonus.
of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
applications within a six-month period.
expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
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rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is:
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