Posted Apr 18, 2025 102 views Report Job
This is a full-time, on-site role for a CUDA Engineer.
Key Responsibilities
- Design, develop, and optimize CUDA-based applications for enhanced performance and efficiency.
- Diagnose and resolve performance bottlenecks and bugs in GPU-accelerated workloads.
- Stay current with advancements in CUDA, parallel computing.
- Collaborate with cross-functional teams to integrate high-performance solutions into scalable systems.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- At least 2 years of professional experience in CUDA.
- Experience with GPU neural networks computing library cuDNN.
- Strong skills in performance optimization, parallelization, and resource-efficient coding.
- Excellent problem-solving abilities and a team-oriented mindset.
- Effective communication skills to collaborate across technical and non-technical teams.
Job Details
Nvdee is a Lahore-based technology firm specializing in high-performance computing and signal processing applications. Company expertise GPUs, FPGAs, and DSPs to accelerate AI models, optimize real-time processing, and scale demanding workloads.
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