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GPU Systems Optimization Specialist
2 weeks ago
We are seeking an experienced GPU programming professional to play a key role in our mission to develop and optimize high-performance machine learning workloads.
Key Responsibilities:
- Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA or OpenCL.
- Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.
- Optimize memory access, compute throughput, and kernel execution to improve overall system performance on target GPUs.
Required Skills and Qualifications:
- Bachelor's or master's degree in computer science or a related field.
- 3+ years of hands-on experience in GPU programming using CUDA or other GPU compute APIs.
- Strong understanding of GPU architecture, memory hierarchy, and parallel programming models.
Preferred Qualifications:
- Familiarity with cuDNN or other GPU computing libraries.
- Experience with multi-GPU programming or heterogeneous computing environments.
Why Work With Us?
Our organization offers a dynamic work environment that fosters collaboration, innovation, and growth. We are passionate about delivering exceptional results and making a meaningful impact.
As a valued member of our team, you will have opportunities to learn and grow, contribute to cutting-edge projects, and work closely with colleagues who share your passion for technology.