Description
Nvdee specializes in delivering cutting-edge solutions for high-performance computing and advanced signal processing applications. By leveraging the unparalleled power of GPUs, FPGAs, and DSPs, we accelerate innovation across industries. Our expertise drives transformative applications in fields such as large language models (LLMs), telecommunications, and real-time data processing. At Nvdee, we are committed to pushing the boundaries of technology to empower the future.
Role Description
This is a full-time, on-site role for a CUDA Engineer at Nvdee in Lahore.
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.
If you're excited about working on cutting-edge technologies and collaborating on impactful projects, we’d love to hear from you!
Join us at Nvdee and be a part of shaping the future of high-performance computing and signal processing. We look forward to meeting you!
Reach us at
WhatsApp contact /0/3/0/7/8/1/4/4/3/1/2
[redacted email address]