Senior Engineer - Cloud Networking
VultrFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The position is onsite.
Key skills include ability to analyze analog circuits, familiarity with I/O protocols and electrical compliance, proficiency in scripting languages like Python, Perl, and Shell, plus excellent problem-solving, collaboration, communication, and English fluency.
NVIDIA values diversity, is an equal opportunity employer, and does not discriminate based on various protected characteristics; they provide reasonable accommodations for disabilities.
Candidates need a Bachelor’s or Master’s in Electrical Engineering, Computer Engineering or related field (or equivalent), plus 5+ years of proven experience in electrical validation.
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.