Senior Software Solutions Engineer
AI in this role
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software.
SW Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing R&D related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products.
What you'll be doing:
- Take ownership and drive customer issues with Ethernet or InfiniBand network adapter/DPU deployments from inception to resolution.
- Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including but not limited to Networking products.
- Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products.
- Bring independent analysis, communication, and problem-solving to customer experience.
- Collaborate with engineering to document, recreate and solve issues.
What we need to see:
- BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
- 5 + years system software development and troubleshooting experience, ideally with some customer facing.
- Experience developing with C/C++ in kernel and/or application space and/or embedded software.
- Strong understanding of GNU/Linux (tools, utilities, kernel, networking stack) and Linux-based virtualization (namespaces, containers, K8s)
- Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team orientation.
- Professional-level communication skills, interpersonal skills with a passion to solve problems.
Ways to stand out from the crowd:
- Familiarity with InfiniBand networks, RDMA protocol, RoCE, DPUs, DPDK, HPC applications (MPI/UCX), OVS
- Hands-on experience in troubleshooting and analysis of the common datacenter networking protocols/technologies (e.g.: LACP, OSPF, BGP, EVPN, VXLAN)
- Proven ability to deeply analyze IP / Layer 2 switching / Layer 3 routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF).
- Contributions to networking related open-source projects
How we rate this
Senior Software Solutions Engineer at NVIDIA rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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