
Specialist - Scientific and Physical AI
MCKINSEY & COMPANY, INC. UNITED STATES
Cleveland, OHJobSeen todaySeen in employer's feed today
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Job overview
The Specialist will apply expertise in physical sciences, computational engineering, machine learning, and physics-based modeling to help industrial clients address complex engineering challenges. The role leads technical workstreams involving multi-physics simulation frameworks, digital twins, surrogate and machine learning models, physics-informed machine learning, and production tools on HPC infrastructure, translating computational insights into strategic recommendations and client solutions.
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Full job description
- Atlanta - Austin - Boston - Charlotte - Chicago - Cleveland - Columbus - Connecticut - Darien - Dallas - Denver - Detroit Apply Now Apply Later Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will apply deep expertise in physical sciences, computational engineering, machine learning, and physics-based modeling to help leading industrial 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 Scientific and Physical AI team within our Advanced Industries Sector. This team is building a first-of-its-kind physics AI capability. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: - 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. YOUR QUALIFICATIONS AND SKILLS 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++)
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