About this role
The team is seeking an experienced Embedded Hardware Engineer to join their remote team. This role is ideal for professionals with a strong background in GPU performance engineering and CUDA development, focusing on advanced AI research and evaluation projects.
Key Responsibilities:
- Analyze and optimize GPU kernels across various modern hardware architectures.
- Evaluate performance metrics and implement improvements to enhance efficiency.
- Collaborate with cross-functional teams to integrate GPU solutions into AI systems.
- Develop and maintain documentation for GPU optimization processes and methodologies.
- Stay updated with the latest advancements in GPU technology and CUDA programming.
Required Skills & Qualifications:
- Expertise in CUDA programming and GPU kernel optimization.
- Proficiency in C++17 and experience with performance analysis tools.
- Strong understanding of hardware architectures and their impact on performance.
- Experience in AI research and application development is a plus.
- Excellent problem-solving skills and ability to work independently in a remote environment.
Experience:
- Minimum of 5 years of relevant experience in GPU performance engineering or related fields.
What we offer:
- The opportunity to work on cutting-edge AI research projects.
- A flexible remote work environment.
- Collaboration with a team of highly skilled professionals in the field.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.