Expert - Robotics and Physical AI

You will apply deep expertise in physical sciences, computational engineering, machine learning, and physics-based modeling to help leading clients tackle their most complex engineering challenges.

You will lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients.

You will be part of the Robotics and Physical AI team within our Advanced Industries Sector. This team is building a first-of-its-kind physics AI capability.

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply

Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++)

Demonstrated fluency with statistical sampling, machine learning, and data science techniques

Simulation experience, Pytorch, ML/AI/Data Science a plus

Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion

Proficient in rational decision making based on data, facts, and logical reasoning

Ability to create work product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment

Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times

Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.)

Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels