Senior ML Rendering Engineer - GPU Compute

Samsung Semiconductor; San Jose (CA); On-site; USD 124,000 - 208,400; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Tuition assistance

Paid time off

Job summary

Samsung Semiconductor in San Jose is seeking a Machine Learning Application Developer to develop and optimize neural rendering applications and machine learning software. This role will focus on enabling efficient execution of AI workloads on Samsung's mobile GPUs and involves collaborating closely with hardware, software, and architecture teams.

Ideal candidates will have strong programming skills, a Bachelor's degree in a relevant field, and hands-on experience with GPU architectures and machine learning frameworks. The position provides a competitive salary and benefits including medical, dental, vision, and more.

Qualifications

• 3+ years of experience with a Bachelor's Degree, or 2+ years with a Master's Degree or Ph.D.
• Strong programming skills in C, C++, Python.
• Proficiency with API-level programming using Vulkan, OpenGL, OpenCL.

Responsibilities

• Develop and optimize neural rendering applications and ML software.
• Analyze software performance to identify and optimize bottlenecks.
• Collaborate with GPU architects and hardware teams to optimize solutions.

Skills

C programming

C++ programming

Python programming

Vulkan

OpenGL

OpenCL

PyTorch

TensorFlow

Low-level performance profiling

Education

Bachelor's Degree in Computer Science or comparable field

Master's Degree or Ph.D.

Job description

Samsung Semiconductor in San Jose is seeking a Machine Learning Application Developer to develop and optimize neural rendering applications and machine learning software. This role will focus on enabling efficient execution of AI workloads on Samsung's mobile GPUs and involves collaborating closely with hardware, software, and architecture teams.

Ideal candidates will have strong programming skills, a Bachelor's degree in a relevant field, and hands-on experience with GPU architectures and machine learning frameworks. The position provides a competitive salary and benefits including medical, dental, vision, and more.