Senior System Software Engineer - Networking Linux Kernel at NVIDIA

Hyderabad, Andhra Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

06 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C Programming, Linux Kernel Internals, Distributed Systems, Networking Algorithms, Data Management, Block Storage, Cloud Environments, RDMA Technologies, NVMe Protocols, Memory Management, Performance Optimization, Collaboration, Debugging, Virtualization, Scalability, High-Speed TCP

Industry

Computer Hardware Manufacturing

Description

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, HW team and external customers. You will define the Software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. Take a leading role in the design, development, and implementation of an innovative, high-performance, distributed, software defined block storage solution for the world’s first AI factory, cloud computing company. What you’ll be doing: 100% hands-on coding role in C language, kernel and userspace Own end-to-end design and development, challenging existing paradigms and exploring innovative approaches for RDMA and high-speed TCP-based networks. Collaborate closely with cross-functional teams to define and implement robust networking algorithms, data management strategies, and distributed systems principles. Contribute to architecture, integration, and alignment with both on-prem and cloud-native platforms. Optimize system performance and reliability through in-depth analysis and low-level tuning. Stay up to date with the latest industry trends and contribute to open-source projects. What we need to see: B.S. or M.S. degree in Computer Science or Electrical Engineering. 8+ years experience as senior developer, preferably in the domains of storage, networking, and/or operating-systems Excellent communication skills and a collaborative mindset. Perseverance and determination in debugging complex problems. Proven professional experience in designing and developing distributed systems; advantage for experience in block storage and networking systems, advantage for cloud environments. Strong proficiency in C/C++ programming. Experienced with Linux Kernel internals including block subsystem, IO stack, memory management, and scheduling. Familiarity with storage protocols and standards, especially NVMe. Knowledge of networking fundamentals and experience in Linux-based networking environments. Familiarity with RDMA technologies, including Infiniband, RoCE, or iWARP, and experience with RDMA programming models, control and data paths. Knowledge of cloud computing concepts, including virtualization, scalability, and data management. 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

The role involves hands-on coding in C and the end-to-end design and development of high-performance, distributed software-defined block storage solutions. The engineer will collaborate with cross-functional teams to implement robust networking algorithms and optimize system performance.