> Markdown version of [/jobs/ext/578485-senior-engineer-machine-learning-application-developer](https://www.wearedevelopers.com/jobs/ext/578485-senior-engineer-machine-learning-application-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Engineer, Machine Learning Application Developer - **Company:** Samsung - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $124,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, C++ (Programming Language), Profiling, Computer Programming, Computer Engineering, Software Debugging, Python (Programming Language), Machine Learning, OpenGL, OpenCL, Tensorflow, Software Systems, Graphics Processing Unit (GPU), Pytorch, Information Technology, Vulkan Graphics API, Software Performance - **Published:** June 18, 2026 - **Apply:** https://sec.wd3.myworkdayjobs.com/Samsung_Careers/job/3655-N-1st-St-San-Jose-CA-USA/Senior-Engineer--Machine-Learning-Application-Developer_R117880 ## About the Role * 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. * 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., 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. ## Description 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. In this individual contributor role, 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, you will help optimize performance, efficiency, and resource utilization to support next-generation intelligent computing experiences. * You help 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 analyze software performance and hardware resource utilization to identify bottlenecks and optimize application performance, efficiency, and scalability across a variety of ML workloads. * You 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 leverage low-level performance analysis techniques, including assembly-level investigation when needed, to help improve execution efficiency and maximize GPU utilization. * You 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. ## Related Videos - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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