
GPU Acceleration Engineer
1 week ago
Job Summary
We are seeking a talented GPU Programming Specialist to develop, optimize and maintain high-performance computing solutions using cutting-edge technologies such as CUDA, HIP and OpenCL.
About the Role
- Develop and implement efficient GPU-accelerated components for complex machine learning workloads
- Analyze and improve kernel performance through profiling and benchmarking techniques
- Collaborate with cross-functional teams to integrate GPU-based solutions into existing systems
Key Responsibilities:
- Design and implement optimized GPU kernels for improved compute throughput
- Work closely with system architects and software engineers to develop scalable and efficient GPU-accelerated pipelines
- Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability
Required Skills and Qualifications
- Bachelor's or master's degree in computer science, electrical engineering or a related field
- 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL or other GPU compute APIs
- Strong understanding of GPU architecture, memory hierarchy and parallel programming models
- Proficiency in C/C++ and hands-on experience developing on Linux-based systems
Preferred Qualifications
- Familiarity with cuDNN, TensorRT, OpenCL or other GPU computing libraries
- Exposure to AI/ML workloads, computer vision or video/image processing
- Experience with multi-GPU programming or heterogeneous computing environments
What We Offer
- Opportunity to work on cutting-edge technologies and projects
- Collaborative and dynamic work environment
- Professional development and growth opportunities
Benefits
- Competitive salary
- Comprehensive benefits package
- Flexible work arrangements
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