Senior Engineer, Machine Learning

Samsung Semiconductor • San Jose, CA

6h • $138,000 - $206,000 • Onsite

About The Position

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Our team is at the forefront of applying computational and machine learning methods to real-world research on organic optoelectronic materials. As part of a dynamic group of researchers and engineers, you’ll collaborate on innovative projects that transform computational and AI research into insights and breakthrough discoveries of new material. As a Sr. Engineer in the Samsung Display America Lab, you'll immerse yourself in an environment that values creativity, collaboration, and cutting-edge experimentation—working alongside experts who are as passionate about technology and science as you are.
The ideal candidate should have a Ph.D. in physics, chemistry, materials science, or a related field, with expertise in computational materials science and ML algorithm development. The candidate should have a strong background in code development and a deep understanding of electronic structures and the morphology of organic materials.
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

Requirements

• Ph.D. in Materials Science, Physics, Chemistry, or a relevant field, or Master's in Science in a field with 3+ years of professional experiences or Bachelor's degree in a field with 5+ years of professional experience.
• Experience in research on optoelectronic properties and reactions of organic semiconducting materials.
• Experience in modeling and/or simulation of the surface and/or interface reactions.
• Expertise with the atomistic level of computational simulations, including ab-initio Quantum Chemistry, first-principles Density Functional Theory, Classical Molecular Dynamics, etc.
• Experience in developing AI/ML algorithm for materials research.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

Responsibilities

• Collaborate with multiple interdisciplinary teams of researchers and engineers to develop next-generation materials related to next-generation display technology.
• Develop and refine simulation platforms by integrating state-of-the-art tools and methodologies, ensuring robustness and scalability of research outputs.
• Integrate advanced data analytics frameworks to manage, preprocess, and interpret experimental data, enabling actionable insights for material innovation.
• Engage with academic communities toward paper publications.

Benefits

• Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
• Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
• Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
• Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
• Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
• Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree