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Computational Scientist - New York, United States - KE Technology
Description
**Job Title: Computational Scientist/High-Performance Computing (HPC) Engineer**
**Location:** New York City, NY
**Company:**
Our client is an innovative start-up at the exciting intersection of quantum physics and machine learning. They boast a unique blend of top-tier minds in both physics and technology. Backed by one of the world's leading venture capital firms, they are proud to be among the top 1% of Series A start-ups globally.
**Job Description:**
Our client is seeking a highly skilled and motivated Computational Scientist/High-Performance Computing (HPC) Engineer to join their team. As a Computational Scientist/HPC Engineer, you will play a crucial role in developing and optimizing high-performance computing solutions for their cutting-edge projects.
**Responsibilities:**
Develop and optimize high-performance computing solutions.
Program in Python and compiled languages such as C/C++, Fortran, or Rust.
Utilize GPU programming techniques, including experience with CUDA.
Benchmark code and conduct performance analysis and profiling using tools like perf, VTune, etc.
Collaborate effectively in a Unix environment, utilizing git in a team setting.
**Requirements:**
3+ years of programming experience in Python.
3+ years of programming experience in a compiled language such as C/C++, Fortran, or Rust.
Background in GPU programming, including experience with CUDA.
Experience benchmarking code with performance analysis and profiling using tools like perf, VTune, etc.
3+ years of development experience in a Unix environment, working with git in a team environment.
**Nice to have:**
3+ years of research experience or experience working in a research environment.
Experience with deep learning frameworks like PyTorch, JAX, etc.
Strong fundamental understanding of linear algebra and numerical implementation of linear algebra algorithms.
If you are passionate about pushing the boundaries of technology and working at the forefront of quantum physics and machine learning, we encourage you to apply.
Please submit your resume and cover letter detailing your relevant experience to [email address].
**Equal Opportunity Employer:**
Our client is an equal opportunity employer and value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.