NVIDIA is looking for an outstanding Senior Software Engineer to expand the US-based networking software group. As a technical leader, you will have a unique opportunity to shape the future of the group, develop its technological vision and strategize with partners on the next generation of software-defined networking products built on top of the Data-Center-on-a-Chip Architecture (DOCA). You will be among the very first to design systems for NVIDIA’s next-generation SoC and take part in defining its role in the modern data center. You will be working and collaborating closely with a hardworking set of individuals: SDK developers, driver, firmware, and DPU architects, as well as domain experts in security, virtualization, data science, and AI.
What you'll be doing:
-
Architect, design, and develop innovative, scalable, performant hardware-accelerated software products to run on top of NVIDIA’s DOCA SDK, based on its groundbreaking BlueField DPU SoC platform
-
Engage with strategic customers and partners to train, design, build, and productize solutions based on our cutting-edge networking products
-
Provide technical guidance and direction to other developers in the group to execute as a single cohesive unit
-
Represent the group in cross-org/leadership technical discussions
-
Be a bar-raiser in craftsmanship: define the technical culture of the group through mentoring, process improvements, and design and coding standard methodologies
What we need to see:
-
Strong affinity for innovation
-
Computer networking development experience in some of the following fields: Software-Defined Networking (SDN), DPUs, SmartNICs, NIC drivers, OVS/OVN, DPDK, DOCA, network applications/services, networking protocols, hardware acceleration/offloads, edge services
-
A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience)
-
5+ overall years in a similar or related role
-
Excellent interpersonal skills, working with developers, partners, and customers
-
Diligent and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements
-
Excellent communication and technical presentation skills, internally and with external customers as well.
Ways to stand out from the crowd:
-
Knowledge of Linux systems and SoC/SmartNIC embedded systems
-
Hands-on experience in Remote Direct Memory Access (RDMA) technology
-
Deep background in high-performance networking and low-level programming
-
Experience in working with customers/partners to develop strategic solutions
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
The base salary range is 148,000 USD - 419,750 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. 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.
Top Skills
What We Do
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. Today, NVIDIA is increasingly known as “the AI computing company.”