Senior Data Scientist (Power Systems)
PhaidraFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
A BS or MS in EE degree (or equivalent) in power engineering and 5+ years of proven experience in a similar role, preferably in the datacenter industry, are required.
Proficiency in modern circuit design tools like Cadence Allegro Schematic Design and Allegro PCB Layout, plus technical knowledge in Analog/Digital control theories, High density power conversion (DC/DC and AC/DC), and Power Distribution Network (PDN) analysis.
This information is not specified in the job description.
This information is not specified in the job description.
It's a fast-paced, dynamic environment where you'll interact closely with company experts as an integral member of a global collaborative team, with a team-oriented 'can do' attitude and enthusiasm for multi-disciplinary challenges.
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.