NVIDIA has been continually redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding 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 GPUs act as the brains 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 will be immersed in a diverse, encouraging 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. We are looking for an outstanding networking engineering manager engineer for systems software architecture, deployment and performance optimization of large datacenter cluster systems and applications.

　　Be a key player to the most exciting computing hardware and software to driving the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design for collecting, visualizing, and acting on a wide variety of data. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft state of the art software strategies which enable new systems and interconnects. You will interact with OS, GPU compute, and networking specialists to envision, develop and bring up large scale systems.

　　What you’ll be doing:

　　Lead, manage, and hire a team of extraordinary networking and at scale deployment engineers to work on at scale systems software and other tools.

　　Gather design requirements and assist or drive software architecture design to meet those.

　　Articulate, align and integrate architecture and roadmaps.

　　Communicate technical milestones and status to the cross-functional teams, management, and customers.

　　Clearly communicate roles, expectations, work direction to all team members on a regular basis.

　　Provide engineering solutions and prototypes for next generation clusters building creative solutions based on NVIDIA technology.

　　What we need to see:

　　BS, MS, or higher degree, in Mechanical Engineering, Electrical Engineering, or Computer Science or equivalent experience.

　　5+ overall years of networking and infrastructure engineering working with performance platform, preferably at larger scale.

　　2+ years managing a team.

　　Prior experience managing managers in a fast-paced environment, delivering complex software products.

　　Strong leadership, interpersonal, and communication skills, with the ability to drive consensus and alignment across large organizations.

　　Demonstrated ability to perform in limited development time.

　　Ways to stand out from the crowd:

　　Experience with HPC/DL clusters for AI.

　　Experience leading teams deploying automated systems.

　　Demonstrated work with Open-Source software in teams building, debugging, patching and contributing code.

　　Experience tuning memory, storage, and networking settings for performance on Linux systems.

　　Exposure to monitoring and telemetry systems.

　　NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!

　　The base salary range is 160,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

　　You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

　　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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　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .