Senior Network Solution Engineer (Weekend Coverage)
AI summary of the role
Senior engineer on the NVEX Solutions Engineering team bridging customer support and R&D for InfiniBand, NVLink, and Spectrum-X network systems powering AI clusters.
What you’ll do
- Assist network and AI cluster support teams in reproducing, resolving, and root causing sophisticated customer issues
- Work with NVIDIA R&D teams to rapidly develop bug fixes, workarounds, and solutions for customers using NVIDIA’s network technologies
- Work directly with customer engineers on live triage of critical and high-profile issues
- Develop support and analysis tools to analyze and root cause field issues
What you’ll bring
- 5+ years of experience developing software (C, C++, Python, or Go)
- 5+ years of experience directly supporting end-customers, partners, or integrators for network equipment and infrastructures
- Expert knowledge of Ethernet and IP routing down to the protocol’s byte level
- Experience analyzing, developing, and debugging at least 2 of: Linux NIC drivers, switch ASICs and SDKs, embedded network device firmware, Linux based network equipment, network operating systems
Technologies
InfiniBand · NVLink · Spectrum-X · C · C++ · Python · Go · Linux NIC drivers · switch ASICs · Ethernet · IP routing
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Implementation & delivery · Evidence for this classification:
The NVIDIA Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer who is ready to become an authority in ground-breaking network technology used in AI clusters. Our team of software engineers bridge the gap between the customer support teams and R&D, focusing on resolution of tough problems from the front lines and providing the highest level of support for InfiniBand, NVLink, and Spectrum-X network systems that interconnect GPUs and AI compute infrastructure. The level of work we do requires a software engineering background for deep code and logic analysis. It is also essential to have a proven grasp of in-field, production network operations and a history of collaborating closely with both customer engineering teams and internal R&D to triage and resolve major issues. Candidates must be very comfortable interacting with and relayingHow jobs are selected
Employer postings · Data from · Sources