GPU Optimization Engineer

3 days ago


Agra, India BitOoda Full time

Job Posting: GPU Optimization Engineer (Bare Metal Expertise)


Location: Remote

Job Type: Full-Time

About Us

We are an innovative company at the forefront of high-performance computing (HPC) and AI, building cutting-edge solutions powered by GPUs and specialized accelerators. We’re looking for a highly skilled GPU Optimization Engineer to design, develop, and optimize software running directly on bare-metal systems, leveraging the full potential of NVIDIA GPUs, AMD GPUs, and other accelerators.



Responsibilities

  • Architect, develop, and optimize high-performance software for GPU-accelerated systems.
  • Design and implement software that directly interacts with GPU hardware, including NVIDIA CUDA, AMD ROCm, or OpenCL.
  • Optimize existing ML/DL frameworks (e.g., PyTorch, TensorFlow) for maximum performance on NVIDIA and AMD GPUs.
  • Work with heterogeneous systems, integrating specialized accelerators like AMD GPUs or custom chips (e.g., SambaNova, Cerebras).
  • Conduct profiling and tuning to maximize GPU utilization, minimize bottlenecks, and achieve peak system performance.
  • Collaborate with hardware engineers to exploit features like NVLink, NVSwitch, and RDMA for seamless GPU interconnectivity.
  • Develop scalable compute pipelines and contribute to performance benchmarking.


Requirements

Education:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

Experience:

  • 5+ years in GPU-accelerated software development, HPC, or related domains.


Technical Skills:

GPU Programming

  • Proficiency in CUDA for NVIDIA GPUs.
  • Experience with AMD ROCm, HIP, or OpenCL for AMD GPUs.

Frameworks

  • In-depth knowledge of PyTorch or TensorFlow with GPU optimization.
  • Familiarity with ONNX and hardware-agnostic ML frameworks.

Languages

  • Proficient in Python, C++, and/or C for performance-critical applications.

Profiling & Optimization

  • Hands-on experience with GPU profilers such as NVIDIA Nsight, nvprof, and rocprof.
  • Ability to identify and mitigate bottlenecks in GPU pipelines.

System Knowledge

  • Strong understanding of bare-metal systems, GPU drivers, and OS-level configuration.
  • Experience with containerized GPU environments (NVIDIA Docker, AMD ROCm containers).


Preferred Skills

  • Experience with multiple accelerator platforms, such as SambaNova or Graphcore.
  • Familiarity with distributed computing and interconnects like NVLink, InfiniBand, or PCIe.
  • Knowledge of compiler optimization (LLVM, TVM, XLA).
  • Familiarity with Kubernetes for GPU cluster management.


What We Offer

  • Competitive salary and benefits package.
  • Work with a talented and collaborative team of engineers.
  • Opportunities to work on cutting-edge GPU and HPC projects.
  • A flexible and dynamic startup environment where you can grow and innovate.


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