About the Company
A leading electronic measurement company, empowering scientists and engineers to tackle their most difficult technical challenges with confidence through innovative wireless, modular, and software solutions.
Responsibilities
- Develop and optimize parallel solvers for quantum control software.
- Leverage MPI and OpenMP to parallelize computational workloads across distributed and shared memory architectures.
- Implement and enhance algorithms for GPU acceleration using CUDA and other GPU computing frameworks.
- Utilize Python and C++ for scripting, automation, and performance-critical tasks.
- Work both independently and collaboratively to achieve business objectives.
Requirements
- Proven experience in developing parallelized solvers for high-performance computing (HPC) applications.
- Expertise in MPI and OpenMP for parallel programming on CPU architectures.
- Experience with GPU computing and parallel programming models like CUDA.
- Strong grasp of parallel computing principles and techniques.
- Proficiency in Python, C#, and C++ for scripting, automation, and performance-critical tasks.
- Familiarity with high-performance computing environments and job scheduling systems.
- A solid understanding of quantum information science is a plus but not required.
Kindly send your updated resume to [email protected] if you're keen and we could discuss it further.
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