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Samsung Machine Learning Jobs (NOW HIRING)

Yield Engineer

Taylor, TX · On-site

$92K - $206K/yr

About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology ... Apply statistical analysis, machine learning, and predictive modeling to yield datasets * Develop ...

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Samsung Machine Learning information

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$25.5K

$42.6K

$88K

How much do samsung machine learning jobs pay per year?

As of Jun 3, 2026, the average yearly pay for samsung machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Samsung, and why are they important?

To thrive as a Machine Learning Engineer at Samsung, you need a strong background in computer science, mathematics, and statistics, often supported by a relevant degree and experience with machine learning algorithms. Proficiency in programming languages such as Python or C++, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms are typically required. Strong problem-solving, collaboration, and communication skills help you translate business needs into technical solutions and work effectively in cross-functional teams. These skills ensure the development of innovative, scalable AI solutions that drive Samsung's product advancements and competitiveness.

What are some common challenges faced by machine learning engineers at Samsung, and how does the company support overcoming them?

Machine learning engineers at Samsung often work on large-scale, cutting-edge projects that require handling vast datasets, optimizing model performance, and deploying solutions to millions of users. Common challenges include keeping pace with rapidly evolving technologies, ensuring data privacy, and collaborating across interdisciplinary teams. To support engineers, Samsung provides ongoing training, access to high-performance computing resources, and opportunities to collaborate with global experts. Additionally, the company fosters a culture of innovation, encouraging knowledge sharing and continuous learning.

What does a Samsung Machine Learning engineer do?

A Samsung Machine Learning engineer designs, develops, and implements machine learning algorithms and models to improve Samsung’s products and services. They work with large datasets, build predictive models, and collaborate with cross-functional teams to integrate AI capabilities into devices like smartphones, TVs, and home appliances. Their work helps enhance user experiences, optimize performance, and enable innovative features such as voice recognition, image processing, and smart automation.

What is the difference between Samsung Machine Learning vs Samsung Data Scientist?

AspectSamsung Machine LearningSamsung Data Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with ML frameworksDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentDeveloping ML models, algorithms, and deploying AI solutionsAnalyzing data, building predictive models, interpreting results
Employer & Industry UsageTech companies, AI product teams, R&D divisionsBusiness units, analytics teams, product development

Samsung Machine Learning specialists focus on creating and deploying machine learning models, while Samsung Data Scientists analyze data to generate insights and support decision-making. Both roles require strong technical skills and often collaborate within the same industry sectors, but their core responsibilities differ in focus and application.

More about Samsung Machine Learning jobs
What states have the most Samsung Machine Learning jobs? States with the most job openings for Samsung Machine Learning jobs include:
Infographic showing various Samsung Machine Learning job openings in the United States as of May 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior Engineer, GPU Modeling Architect

Senior Engineer, GPU Modeling Architect

Samsung Electronics

San Diego, CA • On-site

$124K - $208.40K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Samsung Electronics rating

7.0

Company rating: 7.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

104th of 139 rated electronics manufacturers


Job description

Position Summary

Samsung, 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 Responsibilities

As a Senior Engineer, GPU Modeling Architect, you will work on the design and development of high-performing functional models that shape next-generation Samsung GPUs.

In this mid-to-senior individual contributor role, you will contribute to defining functional modeling of various blocks of the GPU pipeline that drive architectural exploration and design decisions. You bring expertise in GPU architecture, functional modeling, and performance validation, with a curiosity for translating complex architectural intent into efficient, scalable simulation environments.

  • You are passionate about contributing to the design and development of cycle-approximate and functional models for key GPU pipeline blocks-capturing architectural and micro-architectural behaviors for design and verification.
  • You enjoy learning about building high-quality models to enable advanced GPU development. You architect, implement, and validate C++/SystemC-based GPU models, ensuring accuracy, scalability, and integration across hardware and software environments.
  • You ensure design excellence by working on model-based performance validation and correlation, identifying bottlenecks, and proposing architectural and micro-architectural optimizations to improve GPU performance, power efficiency, and functionality.
  • You proactively seek cross-functional collaboration with architects, RTL designers, verification engineers, and software teams to align modeling behavior with design intent, debug system-level interactions, and support early design bring-up.
  • You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends and emerging technologies.

Skills and Qualifications

  • 5+ years of experience with a Bachelor's Degree in Computer Science/Engineering, or 3+ years of experience with a Master's Degree, or 1+ years of experience with a Ph.D.
  • 5+ years of experience in experience in software design and architecture.
  • Hands-on experience in C++ programming, including STL, in a Linux environment.
  • Understanding of GPU/CPU or computer architecture and micro-architecture concepts.
  • Experience using development tools such as revision control systems, debuggers, and make/cmake.
  • Familiarity in hardware modeling, especially the Sparta Modeling Framework .
  • Experience with performance profiling and analysis.
  • RTL verification experience is preferred.
  • Strong analytical and problem-solving skills, with the ability to identify bottlenecks and proposing data-driven solutions.
  • Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

Our Team

The GPU Architect team delivers whole system architecture-level design for Samsung's current and next-generation mobile GPUs. Our work spans a wide range of disciplines-from early-stage architectural exploration and research in graphics and machine learning, to shaping the GPU innovation roadmap, defining new features, building models, and delivering microarchitecture design and programming. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphics for Samsung Galaxy smartphones.

Joining our team means collaborating with talented engineers from diverse technical backgrounds across a global organization. Here you'll contribute to the roadmap for next-generation technologies, broaden your expertise, and solve impactful challenges in a supportive environment that values collaboration, continuous learning, and growth.

Total Rewards

At 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 range for this role is between $124,000 and $208,400. Your actualbase pay will depend on variables that may includeyour educationskills, qualifications, experience, and worklocation.

Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), 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.

This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).

U.S. Export Control

This 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.

#SARC

#ACL

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* 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.


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