Senior ML Applications Engineer - Neural Rendering on GPUs

Jobtailor; San Jose (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor in San Jose seeks an engineer to develop neural rendering and ML software enabling efficient AI workloads on premium mobile GPUs. You will optimize performance and collaborate with GPU architects and hardware teams to translate insights into software improvements.

The role requires strong CPU/GPU programming skills, experience with Vulkan/OpenGL/OpenCL, and ML frameworks like PyTorch/TensorFlow. You will work on diverse ML workloads and strive for efficient, scalable GPU solutions.

Qualifications

• Bachelor's degree or higher in CS/CE or related field.
• 3+ years of relevant experience OR 2+ years with a Master’s/PhD.
• Proficiency in C, C++, Python and API-level GPU programming.

Responsibilities

• Develop neural rendering applications and ML software for efficient AI workloads on premium mobile GPUs.
• Bridge ML workloads with GPU hardware capabilities and optimize performance.
• Collaborate with GPU architects, software engineers and hardware teams.
• Analyze performance and bottlenecks to improve efficiency and scalability across ML workloads.
• Leverage low-level analysis including assembly when needed to maximize GPU utilization.
• Stay current with ML, neural rendering and GPU technology advancements.

Skills

C

C++

Python

Vulkan

OpenGL

OpenCL

PyTorch

TensorFlow

GPU architecture

Performance profiling

Neural rendering

Assembly-level analysis

Problem solving

Communication

Education

Bachelor's degree in Computer Science/Engineering

Master’s degree in Computer Science/Engineering

Ph.D.

Tools

Vulkan

OpenGL

OpenCL

PyTorch

TensorFlow

Job description

Jobtailor in San Jose seeks an engineer to develop neural rendering and ML software enabling efficient AI workloads on premium mobile GPUs. You will optimize performance and collaborate with GPU architects and hardware teams to translate insights into software improvements.

The role requires strong CPU/GPU programming skills, experience with Vulkan/OpenGL/OpenCL, and ML frameworks like PyTorch/TensorFlow. You will work on diverse ML workloads and strive for efficient, scalable GPU solutions.