Key technologies and capabilities for this role
Common questions about this position
NVIDIA offers competitive salaries and a generous benefits package.
This information is not specified in the job description.
Required skills include a B.Sc. degree or equivalent in Engineering/Computer Science, 4+ years as a Software Engineer, strong programming skills in Python, expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP), and Linux knowledge.
NVIDIA fosters a diverse work environment, values innovation fueled by great technology and amazing people, and features rapidly growing exclusive engineering teams with forward-thinking and hardworking individuals.
Candidates stand out with knowledge in performance testing scenarios, proven leadership experience leading scrums and projects, strong communication skills, expertise in networking areas like Ethernet and TCP/UDP/IP, and prior software testing experience with Python.
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.