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4 days ago
This role focuses on the development and maintenance of high-performance applications using modern C++ and CUDA.
Key Responsibilities:- Develop cutting-edge solutions for device integration and computational workloads utilizing advanced C++ techniques and parallel algorithms.
- Design, implement, and optimize GPU-accelerated algorithms to significantly enhance computational performance and efficiency.
- Conduct thorough code reviews to ensure adherence to coding standards and best practices.
- Develop and execute comprehensive test cases to validate application functionality and performance.
- C++: Strong expertise in modern C++11/14/17/20 programming principles.
- CUDA Programming: Extensive experience in developing, debugging, and optimizing CUDA applications for scalable performance.
- GPU Optimization: Familiarity with memory hierarchy management, shared memory optimization, streams, and warp-level operations in CUDA.
- Parallel Computing: Solid understanding of parallel algorithms and multi-threaded programming methodologies.
- Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and numerical methods.
- Tools: Proficiency with debugging/profiling tools like Nsight, CUDA Memcheck, or similar software.
This is a hands-on leadership position requiring both technical expertise and team management skills to deliver high-quality software products.
What We Offer:- Opportunity to work on innovative projects at the forefront of technology.
- Chance to lead a team and develop leadership skills through real-world challenges.
- Competitive compensation package with benefits.
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