GPU Optimization Specialist
1 day ago
About BitOoda
">We are a pioneering force in high-performance computing (HPC) and AI, developing cutting-edge solutions powered by GPUs and specialized accelerators.
">Job Summary
">We are seeking an experienced GPU Optimization Specialist to join our team. As a Bare Metal Performance Engineer, you will design, develop, and optimize software running directly on bare-metal systems, leveraging the full potential of NVIDIA GPUs, AMD GPUs, and other accelerators.
">Main 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
">- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).">
- 5+ years in GPU-accelerated software development, HPC, or related domains.">
- Familiarity with containerized GPU environments (NVIDIA Docker, AMD ROCm containers).">
- Experience with multiple accelerator platforms, such as SambaNova or Graphcore.">
Preferred Skills
">- Knowledge of compiler optimization (LLVM, TVM, XLA).">
- Familiarity with Kubernetes for GPU cluster management.">
- In-depth knowledge of PyTorch or TensorFlow with GPU optimization.">
- Familiarity with ONNX and hardware-agnostic ML frameworks.">
What We Offer
">- A competitive salary range of $140,000 - $180,000 per annum, depending on experience.">
- A dynamic startup environment where you can grow and innovate.">
- Opportunities to work on cutting-edge GPU and HPC projects.">
- Competitive benefits package.">
- A flexible work environment that supports your well-being.">
- The opportunity to collaborate with a talented and collaborative team of engineers.">
Location
">This role is open to remote candidates worldwide.
">Apply Now
">To apply for this exciting opportunity, please submit your resume and a cover letter explaining your qualifications and experience.
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