This student position in R&D offers an exciting opportunity to gain hands-on experience in innovation and problem-solving while pursuing your studies. As a student software, you will:
Contribute to cutting-edge projects alongside experienced professionals
Develop valuable technical and soft skills highly sought after in the industry
Network with professionals in various fields
What You’ll Be Doing:
Build, optimize and maintain robust HPC and cloud infrastructure based on state-of-the-art technologies and high-end hardware, which will deliver the best experience for our R&D teams.
Automate deployment, configuration, and management of network components, including bare metal servers, switches, VMs
Develop and maintain CI/CD pipelines for continuous integration and delivery of software and network configurations.
Drive continual improvements for availability, performance, observability, quality, and cost-efficiency of R&D hardware resources
Collaborate with software development teams to integrate automated testing and quality assurance processes into the deployment pipeline.
What We Need To See:
B.Sc Student of computer science/engineering.
Knowledge in Scripting (Python, Bash)
Knowledge in Linux
Basic knowledge in networking & computing infrastructure
Understanding of engineering theory and principles of design
Strong organizational and communication skills
Strong analytical and logical reasoning abilities
Ways To Stand Out From The Crowd:
Understanding of Devops related methodologies
Linux
CI/CD knowledge (Jenkins)
NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
