CUDA Developer with Strong Mathematical Background
Project # 201598
Job Statistics
4 Bids |
budget
5,000 ILS - 10,000 ILS
|
bidding ends in
mins
|
bid range
380
ILS
-
500
ILS
/ hour
350
ILS
-
20,000
ILS
/ project
|
average bid
440
ILS
/ hour
10,175
ILS
/ project
|
Job Info And Actions
Posted:
10:59, 23 Dec., 2024
Ends:
11:46, 11 Feb., 2025
CUDA Developer with Strong Mathematical Background
We are seeking talented individuals with experience in CUDA programming to join our team. The ideal candidate will have a strong mathematical foundation and a passion for tackling challenging computational problems.
*Responsibilities*
Develop, optimize, and implement CUDA-based solutions for high-performance computing tasks.
Collaborate with cross-functional teams to design and implement efficient algorithms.
Troubleshoot and resolve technical issues related to GPU programming.
Contribute to the development of innovative solutions that leverage CUDA for computational acceleration.
*Requirements:*
Proven experience with CUDA programming and GPU development.
Strong mathematical skills, with a focus on applied mathematics, algorithms, or related fields.
Familiarity with parallel computing concepts and optimization techniques.
Problem-solving mindset and the ability to work in a dynamic environment.
*Preferred Qualifications*
Background in computer science, engineering, or a related technical field.
Experience with additional programming languages such as Python or C++.
Knowledge of AI, machine learning, or related computational fields is a plus.
If you have a passion for GPU computing and are ready to contribute to groundbreaking projects, we’d love to hear from you!
*Responsibilities*
Develop, optimize, and implement CUDA-based solutions for high-performance computing tasks.
Collaborate with cross-functional teams to design and implement efficient algorithms.
Troubleshoot and resolve technical issues related to GPU programming.
Contribute to the development of innovative solutions that leverage CUDA for computational acceleration.
*Requirements:*
Proven experience with CUDA programming and GPU development.
Strong mathematical skills, with a focus on applied mathematics, algorithms, or related fields.
Familiarity with parallel computing concepts and optimization techniques.
Problem-solving mindset and the ability to work in a dynamic environment.
*Preferred Qualifications*
Background in computer science, engineering, or a related technical field.
Experience with additional programming languages such as Python or C++.
Knowledge of AI, machine learning, or related computational fields is a plus.
If you have a passion for GPU computing and are ready to contribute to groundbreaking projects, we’d love to hear from you!
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