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Senior Engineer, Machine Learning Application Developer

Samsung Semiconductor · San Jose, CA · 4 days ago
On-siteEngineering$124k–$208k/yrFull-time

Position Summary

Samsung, a world leader in advanced semiconductor technology, is seeking a Machine Learning Application Developer to join the GPU Architect team at Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL). This role bridges machine learning workloads and GPU hardware capabilities, focusing on efficient execution of AI workloads on Samsung’s premium mobile GPUs.

Role And Responsibilities

  • Develop neural rendering applications and machine learning (ML) software that enable efficient execution of AI workloads on Samsung’s premium mobile GPUs.
  • Contribute to the development of software solutions that bridge machine learning workloads and GPU hardware capabilities, working closely with hardware, software, and architecture teams.
  • Optimize performance, efficiency, and resource utilization to support next-generation intelligent computing experiences.
  • Help optimize performance, efficiency, and scalability across a variety of ML workloads.
  • Proactively seek collaborations with GPU architects, software engineers, and hardware teams to understand underlying hardware constraints and translate performance insights into optimized software solutions.
  • Leverage low-level performance analysis techniques, including assembly-level investigation when needed, to help improve execution efficiency and maximize GPU utilization.
  • Take initiatives on moderate-to-complex projects and help advance best practices and methodologies by staying current with the latest advancements in machine learning, neural rendering, and GPU technologies.

Skills And Qualifications

  • 3+ years of experience with a Bachelor's Degree in Computer Science, Computer Engineering, or comparable field, or 2+ years of experience with a Master’s Degree, or Ph.D.
  • Strong programming skills in C, C++, and Python.
  • Proficiency with API-level programming using in Vulkan, OpenGL, OpenCL, and machine learning frameworks such as PyTorch and TensorFlow.
  • Understanding of GPU hardware architecture and experience with low-level performance profiling, analysis, and optimization.
  • Hands-on experience developing neural rendering applications at the API level.
  • Working knowledge of machine learning operators and workloads, including GEMM, convolution, activations, and related computational kernels.
  • Ability to analyze hardware resource constraints and bottlenecks and develop software optimizations that improve performance and efficiency.
  • Strong analytical and problem-solving skills, with the ability to identify bottlenecks and propose data-driven solutions.
  • Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

Total Rewards

  • Base pay range: $124,000 - $208,400.
  • Additional benefits include 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 more.
  • This role might be eligible to participate in long-term incentive plans and relocation.

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.

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.

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