Used Tools & Technologies
Not specified
Required Skills & Competences ?
Security @ 4 Software Development @ 6 Docker @ 4 Jenkins @ 4 Kubernetes @ 4 Linux @ 7 MySQL @ 7 Automated Testing @ 4 Python @ 4 GCP @ 7 Java @ 4 CI/CD @ 4 Leadership @ 4 AWS @ 7 Azure @ 7 Git @ 4 MongoDB @ 7 PostgreSQL @ 7 React @ 4 Angular @ 4 Node.js @ 4 Microservices @ 4 API @ 4 Technical Leadership @ 4 QA @ 4 Design Patterns @ 4 Agile @ 4 GPU @ 4Details
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — 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, we are increasingly known as “the AI computing company.” NVIDIA DGX, HGX, and MGX servers deliver the world's leading solutions for enterprise AI infrastructure at scale.
Responsibilities
- Be responsible for the design and development of scalable full-stack applications using modern frameworks and cloud-native technologies.
- Establish technical direction and standard methodologies for front-end and back-end engineering efforts.
- Build robust APIs and integrate with internal systems and third-party services.
- Mentor engineers through code reviews, architectural mentorship, and technical discussions.
- Engage with multi-functional teams comprising of product, QA, and Diagnostics to ensure smooth delivery of features and improvements.
- Define and maintain development processes, CI/CD pipelines, and automated testing practices.
- Ensure application performance, uptime, and scalability through thoughtful system design and monitoring.
- Continuously evaluate and embrace new tools and technologies that improve efficiency, reliability, and user experience.
Requirements
- BS, MS, or equivalent experience in Computer Science or a related field with 5+ years of hands-on software development experience.
- Proven experience in technical leadership or team lead role on production software projects.
- Proven understanding of front-end frameworks React, Angular, or Vue and back-end languages DotNET, Node.js, Python, Java.
- Deep understanding of database systems such as PostgreSQL, MongoDB, or MySQL. Expertise with Git-based workflows and agile methodologies.
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Hands-on experience with CI/CD tools and artifact management platforms such as Jenkins and JFrog Artifactory.
- Excellent problem-solving skills, system design fundamentals, and code quality awareness.
- Strong Linux knowledge and experience working in cloud environments (AWS, Azure, or GCP). Passion for clean code, design patterns, and building systems that scale.
Ways to Stand Out from the Crowd
- Experience working with microservices and event-driven architectures.
- Understanding of security standard methodologies in modern web applications.
- Previous work on enterprise SaaS products or developer platforms. Strong presentation and user documentation skills.
NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!