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We are looking for an extraordinary Software Engineer focused on Networking and AI factories challenges. Your primary responsibilities will be customer engineering engagements for NVIDIA Networking products for systems deployed in the AI factories. You will be working multi-functionally with multiple internal organizations as well as ensuring a positive experience for external customers. You should be comfortable working in a dynamic environment and have experience working with embedded systems. You will use your people skills and your technical knowledge to provide design-in support for our networking and AI products in customer systems. Excellent interpersonal skills and ability to work independently are essential. Experience with networking, DPDK or DOCA is a plus, as well as the ability to pick up new technologies and skills.
What you’ll be doing:
Establish yourself as a technical expert in embedded networking products, mainly BlueField and ConnectX product lines, directly supporting sales account and program managers, working closely with the team to secure design wins
Continuously learn and ramp up on new technologies
Engage with strategic customers and partners to train, design, build, and productize solutions based on our networking products
Identify customer architectures and key product and production requirements with regard to AI networking at hyperscale, software-defined networking and the latest GPU hardware
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 and customers technical discussions
What we need to see:
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
Capable of working in a constantly evolving environment without losing focus on customer success
Strong affinity for innovation
Knowledge of networking protocols, especially RoCE, IB and the common L1 to L4 protocols
Background in high-performance networking and low-level programming
Strong analytical and problem-solving skills
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into sophisticated projects
Fast Learner
Ways to stand out from the crowd:
Proved record working with customers and developing strategic solutions
Embedded, Networking, DPDK or DOCA development experience
Hands-on experience in Remote Direct Memory Access (RDMA) technology
Hands-on experience in AI workloads, NCCL, CUDA, Congestion Control and performance tuning
Documentation and knowledge-sharing abilities
You will also be eligible for equity and .
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