QA Automation Engineer, Performance
Keeper SecurityFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates must be pursuing a BS in Computer Science or a similar computer discipline.
Required skills include good knowledge of Python or other scripting languages, Linux and Windows knowledge, good knowledge of PC systems and components, capability to work with a lot of data, and good organizational, time management, and task prioritization skills.
This information is not specified in the job description.
This information is not specified in the job description.
Stand out with familiarity with GenAI or LLM, knowledge of OpenGL, Direct X and D3D, knowledge of Data Visualization, and good knowledge of NVIDIA GeForce and RTX PRO series. Being experienced and passionate about PC games or content creation is also key.
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.