Hybrid System Software Engineer – Cloud Software and Infrastructure

at NVIDIA

• Job title: System Software Engineer – Cloud Software and Infrastructure
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $148,000 - $287,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Ansible, Cloud, Distributed Systems, Java, Jenkins, Kubernetes, Linux, NFS, Python, VMware, Go
• Location requirements: Hybrid, Santa Clara, United States

About the role

• System Software Engineer at NVIDIA developing, scaling, and maintaining the GPU Cloud Infrastructure for GeForce NOW. Collaborating across teams to deliver high-quality software solutions.

Responsibilities

• Apply knowledge of system software, algorithms, and computer architecture to develop robust, scalable, and efficient solutions for cloud-based systems and software
• Prototype and evaluate software enhancements within various cloud subsystems to validate the feasibility of novel architectures
• Collaborate with multi-functional teams, participate in gathering requirements, developing, debugging, and supporting production services
• Contribute to optimizations in software performance, efficiency, scalability, reliability, cost-effectiveness, security, and automation
• Actively participate in design and code reviews, debugging processes, software maintenance, and the documentation of functionalities
• Adhere to standardization, standard methodologies, and collaborate across diverse teams
• Receive guidance and mentorship to deliver high-quality code and adhere to established guidelines.

Requirements

• BS or MS Degree in Computer Science or a related field from an accredited university/college or equivalent experience
• 5+ years of hands-on software engineering or equivalent experience
• Experience contributing to the architecture and implementation of distributed systems
• Familiarity with software-defined storage and storage protocols (NFS, CIFS, iSCSI, block, and object storage) and experience in developing and debugging storage applications and performance issues in distributed storage
• Good working and hands-on knowledge of Kubernetes concepts
• Strong understanding of operating systems (Windows and Linux)
• Familiarity with virtualization technologies (e.g., VMware, KVM, Hyper-V)
• Proficiency in at least one programming language (e.g., C/C++, Go, Python, Java, Shell, or PowerShell) and solid algorithm and data structure skills
• Experience with DevOps concepts and tools like GitLab, Jenkins, or Ansible, and automation for testing and deployment
• Good problem-solving, programming, and scripting skills, with an understanding of system design in distributed systems
• Ability to learn, adapt, and pivot within a fast-paced and growing environment
• Effective communication and interpersonal skills, capable of collaborating across various departments with a proactive attitude and willingness to take ownership of tasks.

Benefits

• competitive salaries
• generous benefits package
• equity