Talent.com
Junior GPU Engineer

Junior GPU Engineer

HANSan Jose, CA
30+ days ago
Job type
  • Full-time
Job description

Position : Junior GPU Engineer

Location : San Jose, CA (Day Onsite)

Duration : +month

Responsibilities :

  • Assist in the allocation and provisioning of GPU resources across multiple projects and departments.
  • Monitor GPU usage and performance metrics to identify bottlenecks and optimize resource utilization.
  • Collaborate with IT and engineering teams to ensure proper configuration and maintenance of GPU infrastructure.
  • Conduct performance analysis and tuning to maximize GPU efficiency and throughput.
  • Implement optimization techniques to improve rendering speeds, reduce latency, and enhance overall performance.
  • Work closely with software developers to identify and resolve GPU-related performance issues .
  • Maintain detailed documentation of GPU configurations, software installations, and performance benchmarks.
  • Generate regular reports on GPU utilization, performance metrics, and optimization efforts for stakeholders.
  • Stay updated on the latest advancements in GPU technology, including hardware innovations and software frameworks.
  • Experiment with new GPU features, libraries, and tools to assess their potential impact on performance and productivity.
  • Contribute to the development of best practices and guidelines for GPU utilization within the organization.
  • Participate in cross-functional initiatives to integrate GPU acceleration into software applications and workflows.

Qualifications :

  • Strong understanding of GPU architecture, parallel computing principles, and graphics rendering techniques.
  • Proficiency in GPU programming languages such as CUDA or OpenCL.
  • Experience with GPU profiling and performance analysis tools (, NVIDIA Nsight, AMD Radeon Profiler).
  • Familiarity with GPU-accelerated libraries and frameworks (, cuDNN, TensorRT, OpenGL, Vulkan).
  • Excellent analytical and problem-solving skills, with a keen attention to detail.
  • Effective communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
  • Prior experience with GPU resource management or optimization is a plus.
  • Knowledge of machine learning frameworks (, TensorFlow, PyTorch) and deep learning concepts is desirable but not required.