Senior Software Engineer, NSV at NVIDIA

, , Israel -

Full Time

Start Date

Immediate

Expiry Date

27 Mar, 26

Salary

0.0

Posted On

27 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Software Design Patterns, Architectural Principles, Microservices Architectures, Version Control Systems, CI/CD Pipelines, Linux, Windows, Problem-Solving, Analytical Thinking, Debugging, Troubleshooting, Networking, Python, DevOps, Docker

Industry

Computer Hardware Manufacturing

Description

NVIDIA is looking for an excellent Software Engineer to join the NSV tools (Network Solutions Validation) group. As the team member, you will be part of a major development effort of high-performing software automation systems for NVIDIA's Data Center environments. We drive the data growth of the world’s biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge? What You’ll Be Doing: Designing and developing an automation platform used to provision, configure, and monitor HPC data centers Implementing scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency Collaborating closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions Improving stability and performance across the provisioning pipeline through architectural enhancements and code optimizations Troubleshooting issues in distributed environments and contributing to system observability and reliability improvements Working cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases Participating in code reviews, technical design discussions, and continuous improvement activities within the team What We Need to See: B.Sc. in Computer Science, Engineering, or a related field (or equivalent practical experience) 5+ years of hands-on experience in software development Strong understanding of software design patterns, architectural principles, and standard methodologies in complex distributed systems Experience with microservices architectures Proficiency with version control systems (e.g., Git) and CI/CD pipelines Experience working with both Linux and Windows operating systems Strong problem-solving and analytical thinking, with the ability to deliver high-quality code and resilient services Strong debugging and troubleshooting capabilities in distributed systems or multi-node environments Experience with the networking domain. Excellent communication skills and an ownership-driven mindset Ways to Stand Out from the Crowd: Python proficiency (strongly preferred due to Python-based tooling) Familiarity with DevOps methodologies and tools (e.g., Jenkins, Ansible) Hands-on experience with Docker and containerized environments Experience with agentic AI development NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Designing and developing an automation platform for HPC data centers and implementing scalable services to enhance operational efficiency. Collaborating with stakeholders to deliver robust solutions and improving system stability and performance.