Job Description

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 

Advancing the World’s Technology Together

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 machine learning to real-world organic material research. As part of a dynamic group of researchers, engineers, you’ll collaborate on innovative projects that transform data into insights and breakthrough discoveries of new material. 

Samsung Display Lab is hiring an AI expert with background of circuit/pixel layout design, circuit simulation by fusing physics-based simulation with modern AI/ML. You’ll drive AI-assisted panel layout and architect pixel/backplane circuits, build high-fidelity surrogates for parasitics using AI.

Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

AI for design & optimization

• Develop physics-informed ML and GNN surrogates mapping layout/process to electrical KPIs.


• Run multi-objective optimization via Bayesian optimization/evolutionary search; generate candidate pixel, driver topologies.


• Apply RL for process control and compensation strategy tuning.

Circuit Simulation

• Compose fast design loops that combine Layout/SPICE with learned surrogates; accelerate what-if sweeps.


• Build data/feature pipelines from fab/test and panel bring-up; implement active learning and uncertainty quantification.

What You Bring

 

• BS Computer Science or equivalent with a minimum of 10+ years or a MS in Computer Science with 8+ years or PhD 5+ years in Electrical Engineering/Computer Engineering/Applied Physics (or equivalent experience).


• Proficiency with SPICE/Spectre/HSPICE/Cadence Virtuoso/ADE; layout and parasitic extraction.


• Strong Python and ML fundamentals (PyTorch or TensorFlow, scikit-learn/NumPy/Pandas)


• Experience building and validating surrogate models and running multi-objective optimization.


• Experience with GNNs for layout-to-electrical, PINNs/physics-informed ML, or differentiable simulation.


• RL for control/param tuning; Bayesian optimization at scale; DoE/active learning.


• Publications/patents in display, EDA, or ML-for-hardware.


• Solid analog/digital circuit fundamentals; hands-on OLED pixel/gate driver design.


• Demonstrated ability to take designs from simulation to hardware bring-up and correlation.


• 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.

#LI-VL1

 

What We Offer
The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. 

This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

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 an errand service.
Prioritize Emotional Wellness With on-demand apps and paid 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.

Base Pay Range

$157,000 - $243,000 USD

Equal Opportunity Employment Policy 

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Applicant Privacy Policy

 

Job Tags

Full time, Work at office, Flexible hours,

Similar Jobs