Senior Engineer, Machine Learning Application Developer

Samsung Electronics

Machine Learning Application Developer at Samsung specializing in neural rendering and AI workloads on mobile GPUs. Collaborating on software that bridges ML and GPU technologies.

Posted 6/18/2026full-timeSan Jose • California • 🇺🇸 United StatesSenior💰 $124,000 - $208,400 per yearWebsite

Tech Stack

Tools & technologies

AssemblyPythonPyTorchTensorflow

About the role

Key responsibilities & impact

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.
Optimize performance, efficiency, and resource utilization to support next-generation intelligent computing experiences.
Analyze software performance and hardware resource utilization to identify bottlenecks and optimize application performance, efficiency, and scalability across a variety of ML workloads.
Collaborate 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 improve execution efficiency and maximize GPU utilization.
Take initiatives on moderate-to-complex projects and advance best practices and methodologies by staying current with the latest advancements in machine learning, neural rendering, and GPU technologies.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

CC++PythonVulkanOpenGLOpenCLPyTorchTensorFlowneural renderingperformance optimization

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaboration skills