Position Details
About this role
This role involves researching and developing GPU-accelerated applications, optimizing performance, and collaborating with cross-functional teams in the public sector.
Key Responsibilities
- Research GPU techniques
- Develop reference code
- Optimize applications
- Collaborate with teams
- Influence architecture design
Technical Overview
Focus on GPU programming with CUDA C/C++, parallel algorithms, GPU architectures, and software optimization for high-performance applications.
Ideal Candidate
The ideal candidate is a senior-level computer scientist or engineer with 5+ years of experience in GPU programming, parallel algorithms, and software optimization. They should have a strong background in CUDA C/C++, GPU architectures, and developing high-performance computing solutions for government or public sector applications.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of advanced GPU programming experience, No PhD or MS in relevant field, Less than 5 years of relevant experience, Inability to work on-site or hybrid as specified
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