Computer Scientist
1 month ago
Job Description :
Key Responsibilities :
- Architect and implement cutting-edge algorithms, focusing on optimizing performance and efficiency in both classical and quantum computing environments.
- Utilize CUDA for the development and optimization of parallel algorithms, aiming to enhance computational performance and efficiency on classical computing platforms significantly.
- Conduct advanced spatial and time complexity analysis to optimize classical algorithms, ensuring scalability and performance efficiency.
- Explore and integrate quantum computing principles and techniques, using platforms like Qiskit to design and test quantum algorithms, bridging the gap between classical and quantum computing applications.
- Lead collaborative efforts with cross-disciplinary teams to incorporate optimized algorithms into comprehensive system architectures, contributing to the development of innovative computing solutions.
- Remain at the forefront of computational research, actively engaging with the latest advancements in algorithm development, optimization techniques, and quantum computing.
Qualifications :
- PhD or master's in computer science, Applied Mathematics, Physics, or a related field, with a strong focus on algorithm development and optimization.
- Proven track record in algorithm optimization using CUDA and in-depth knowledge of spatial and time complexity analysis.
- Solid understanding of quantum computing principles and experience with quantum computing frameworks such as Qiskit.
- Extensive experience in programming languages such as Python, C++, or Java, and familiarity with software development best practices.
- Strong analytical and problem-solving skills, capable of tackling complex computational challenges.
- Excellent leadership and communication abilities, with a proven history of working effectively in dynamic and collaborative environments.
Preferred Skills :
- Publication record in relevant fields, showcasing contributions to algorithm optimization, quantum computing, or related areas.
- Experience in leading R&D projects, from conceptualization through to implementation, including project management and team leadership. (ref:hirist.tech)
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