About the role
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, and external customers. You will take part in defining 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.
What you’ll be doing:
100% hands-on coding role in C language, kernel and userspace
Research, design, implement and test, new and existing, networking features for distributed storage services and features of NVIDIA’s block storage solution, in both Host and DPU environments.
Acquire understanding of the algorithms, the technicalities and the interaction with other components across NVIDIA’s block storage ecosystem.
Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox kernel modules and often in other components. Drive new solutions based on any issues that arise
What we need to see:
B.Sc., M.Sc.. in Computer Science, Electrical Engineering or related discipline (or equivalent experience).
15+ years of experience as a senior developer, preferably in the domains of storage, networking, and/or operating-systems.
Strong proficiency in C/C++ programming.
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. Comprehension of large and complexed systems.
Proven professional experience in designing and developing distributed systems; advantage for experience in block storage and/or networking systems.
Ability to work autonomously, with a proactive mindset and perseverance to solve day to day challenges.
Ability to quickly adapt to new technology and go deep into new areas
Excellent communication skills and a collaborative mindset.
Innovative approach, identifying opportunities to improve, accelerate, and reuse existing solutions.
Knowledge of cloud computing concepts, including virtualization, scalability, and data management.
Ways to Stand Out From the Crowd:
Linux Kernel coding experience
Linux Kernel internals knowledge including memory management, scheduling, etc.
NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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