Archiviertes Projekt - Embedded Cuda Expert - Remote - 8 months
Firmenname für PREMIUM-Mitglieder sichtbar
- April 2024
- Dezember 2024
- D-70173 Stuttgart
- auf Anfrage
- Remote
- 05.04.2024
Projektbeschreibung
Role Overview:
As an Embedded CUDA Developer, you'll play a crucial role in developing high-performance embedded systems that harness the power of CUDA technology. You'll collaborate with cross-functional teams to design, implement, and optimize CUDA-accelerated algorithms for a variety of applications.
Key Responsibilities:
Design and develop embedded systems leveraging CUDA technology.
Implement and optimize CUDA-accelerated algorithms for real-time processing.
Collaborate with hardware engineers to ensure seamless integration of CUDA-enabled hardware.
Conduct performance analysis and optimization to maximize system efficiency.
Stay updated on the latest advancements in CUDA technology and apply them to project development.
Requirements:
Bachelor's degree in Computer Engineering, Electrical Engineering, or related field.
Proven experience in embedded software development with expertise in CUDA programming.
Proficiency in programming languages such as C/C++.
Strong understanding of parallel computing principles and GPU architecture.
Experience with embedded systems development and optimization.
Excellent problem-solving skills and attention to detail.
As an Embedded CUDA Developer, you'll play a crucial role in developing high-performance embedded systems that harness the power of CUDA technology. You'll collaborate with cross-functional teams to design, implement, and optimize CUDA-accelerated algorithms for a variety of applications.
Key Responsibilities:
Design and develop embedded systems leveraging CUDA technology.
Implement and optimize CUDA-accelerated algorithms for real-time processing.
Collaborate with hardware engineers to ensure seamless integration of CUDA-enabled hardware.
Conduct performance analysis and optimization to maximize system efficiency.
Stay updated on the latest advancements in CUDA technology and apply them to project development.
Requirements:
Bachelor's degree in Computer Engineering, Electrical Engineering, or related field.
Proven experience in embedded software development with expertise in CUDA programming.
Proficiency in programming languages such as C/C++.
Strong understanding of parallel computing principles and GPU architecture.
Experience with embedded systems development and optimization.
Excellent problem-solving skills and attention to detail.
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