Position SummarySamsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us!Role and ResponsibilitiesPerform semiconductor engineering research, design, development, and testing for firm products and devices in conjunction with product development for the electronic communications industry.Work as part of the GPU IP design team. Contribute to the team and responsible for utilizing machine learning modeling to analyze and improve design power and performance.Develop end-to-end Machine Learning ecosystems, with data pipelines, ML pipelines, and deployment flow to allow the model as a service.Work with Design Engineer to refine and improve model accuracy by analyzing input and result data.Refine model to provide better algorithms to predict GPU Power.Develop statistical tests to monitor confidence intervals and drift detection to uphold accuracy.Work on infrastructure automation and user-friendly usage interface.Work with Hardware Emulation Engineers to define, prepare the training data preparation.May work from home on a hybrid schedule within San Jose, CA and surrounding areas.Skills and QualificationsMinimum Requirements:Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering or a closely related field and Five (5) years of experience in a related occupation in computer graphic pipeline, graphic architecture, or image visual; Python to automate/triage large results; and coding using C to develop machine learning modelingAlternate Requirements:Master’s degree or foreign equivalent in Computer Science, Computer Engineering or a closely related field plus three (3) years of experience in a related occupation in computer graphic pipeline, graphic architecture, or image visual; Python to automate/triage large results; and coding using C to develop machine learning modeling.Total RewardsAt Samsung – SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is $216,091. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location. This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), free onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.Additionally, this role might be eligible to participate in long term incentive plan and relocation.U.S. Export ControlThis position requires the ability to access information subject to U.S. export control restrictions. Applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information.Trade Secrets By submitting an application, you [applicant] agree[s] not to disclose to Samsung, or induce Samsung to use, any confidential or proprietary information (including trade secrets) belonging to any current or previous employer or other person or entity.#LI-DNI* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.