Senior System Software Engineer, Cloud Software and Infrastructure Join to apply for the Senior System Software Engineer, Cloud Software and Infrastructure role at NVIDIA Senior System Software Engineer, Cloud Software and Infrastructure Join to apply for the Senior System Software Engineer, Cloud Software and Infrastructure role at NVIDIA Get AI-powered advice on this job and more exclusive features. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an NVIDIAN, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking an outstanding Senior System Software Engineer to join our team responsible for developing, scaling, and maintaining the GPU Cloud Infrastructure for GeForce NOW. GeForce NOW is NVIDIA's cloud-based game streaming service, providing real-time gameplay of the highest caliber across various devices, including low-end PCs, Macs, and mobile platforms. The gaming experience is improved by GeForce NOW through new GPUs, NVIDIA software, updated games, the latest hardware, and instant launch.

What You'll Be Doing

Apply expertise in operating systems, algorithms, and computer architecture to develop robust, scalable, and efficient solutions for cloud-based systems and software. Prototype, benchmark, and evaluate software enhancements within various cloud subsystems to validate the feasibility of novel architectures. Lead initiatives and multi-functional collaborations by meticulously gathering requirements, architecting solutions, developing, debugging, and supporting production services. Drive comprehensive 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 meticulous documentation of functionalities. Promote standardization, standard processes, and encourage collaboration across diverse teams. Provide guidance and mentorship to junior engineers, facilitating the delivery of high-quality code and consistency with established guidelines.

What We Need To See

BS or MS Degree in Computer Science or a related field from an accredited university/college (or equivalent experience). 8+ years of hands-on software engineering. Strong background in architecting and implementing large distributed systems, optimized for scale, performance, and cloud computing. In-depth knowledge of operating systems (Windows and Linux), virtualization technologies (e.g., VMware, KVM, Hyper-V), and Kubernetes concepts. Proficient in software-defined storage with a comprehensive understanding of storage protocols (NFS, CIFS, iSCSI, block, and object storage) and experience in performance optimization and resolving bottlenecks in distributed storage systems. Excellent problem-solving, programming, and scripting capabilities, with a strong understanding of system design and computer architecture. Proficiency in programming languages such as C/C++, Go, Python, Java, Shell or PowerShell. Familiarity with DevOps tools such as GitLab, Jenkins, and Ansible, and experience with automation frameworks and tools for testing and deployment. Ability to learn, adapt, and pivot within a fast-paced and growing environment. Influence and build relationships with teams across different time zones.

Ways To Stand Out From The Crowd

Experience with technologies including gRPC, Protobuf, CMake, and Rust. Demonstrating familiarity with AI-assisted development tools and a strong inclination towards using large language models (LLMs) to improve development efficiency. Demonstrates a data-driven approach, as shown through analyzing data to improve system services and/or cloud systems, and pinpointing areas for improvement. Proven ability to lead and complete sophisticated projects, with a track record of delivering advanced solutions to intricate problems.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 14, 2025.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.

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