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Senior Engineer, Machine Learning Application DeveloperSamsung Electronics Perú • San Jose, Arizona, United States
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Senior Engineer, Machine Learning Application Developer

Samsung Electronics Perú
  • US
    San Jose, Arizona, United States
  • US
    San Jose, Arizona, United States
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À propos

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. Responsibilities
As a Machine Learning Application Developer, you will develop neural rendering applications and machine learning (ML) software that enable efficient execution of AI workloads on Samsung’s premium mobile GPUs. You will contribute to the development of software solutions that bridge machine learning workloads and GPU hardware capabilities, working closely with hardware, software, and architecture teams. Your work will involve optimizing performance, efficiency, and resource utilization to support next-generation intelligent computing experiences, developing and optimizing neural rendering applications, API-level software, and ML operator implementations (including GEMM, convolution, activations, and related workloads) using Vulkan, OpenGL, and OpenCL to enable efficient execution of ML and graphics workloads on Samsung GPU platforms. You will analyze software performance and hardware resource utilization to identify bottlenecks and optimize application performance, efficiency, and scalability across a variety of ML workloads. You will proactively seek collaborations with GPU architects, software engineers, and hardware teams to understand underlying hardware constraints and translate performance insights into optimized software solutions. You will leverage low‑level performance analysis techniques, including assembly-level investigation when needed, to help improve execution efficiency and maximize GPU utilization. You will 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. 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 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. Working knowledge of assembly‑level analysis, debugging, or optimization is preferred. 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. 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. The 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
Base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $124,000 and $208,400. Your actual base pay will depend on variables that may include your education, skills, qualifications, experience, and work location. 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 agree 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. Equal Employment Opportunity
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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  • San Jose, Arizona, United States

Compétences linguistiques

  • English
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