Senior System Software Engineer, Cloud Software and Infrastructure

Senior System Software Engineer, Cloud Software and Infrastructure page is loaded## Senior System Software Engineer, Cloud Software and Infrastructure locations:
US, CA, Santa Clara:
US, CA, Remote time type:
Full time posted on:
Posted Todayjob requisition :
JR2008310

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world.

Doing what’s never been done before takes vision, innovation, and the world’s best talent.

As an NVIDIAN, you’ll 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. Introduction paragraph NVIDIA is seeking an outstanding 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 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.
** What we need to see:
*** 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. Technical Skills
* 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 is required, along with a strong understanding of operating systems (Windows and Linux) and 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 Power Shell) and solid algorithm and data structure skills.
* Experience with Dev Ops concepts and tools like Git Lab, 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.
** Ways to stand out from the crowd:
*** Experience with technologies including gRPC, Protobuf, CMake, and Rust.
* Familiarity with AI-assisted development tools and an interest in employing large language models (LLMs) to improve development productivity.
* Possesses a data-driven attitude, evidenced by some experience in analyzing data to…