AI Architect
bswiftFull Time
Expert & Leadership (9+ years)
Candidates must possess a PhD or Master's degree in Computer Science, Electrical Engineering, or a related field, with over 8 years of experience in software architecture or a similar role. A deep understanding of networking protocols and AI applications is essential, alongside outstanding problem-solving skills and the ability to adhere strictly to project timelines. Strong communication and collaboration skills are necessary, and experience leading teams and mentoring engineers is highly desirable.
The Senior Software Architect will lead the design and development of advanced networking protocols specifically for AI applications. This role involves close collaboration with cross-functional teams to define hardware requirements and solutions, and engaging directly with customers to understand their needs and implement new technologies. The architect will also be responsible for driving innovation and ensuring the flawless execution of projects.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.