2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Apply NVIDIA and open-source tools to define, build, and orchestrate inference solutions.
- Enable telecom ISVs to deploy and support designed network solutions.
- Onboard developers to AI-Grid platforms and SDKs through deep technical guidance.
- Identify enablement opportunities that expand adoption of NVIDIA networking tools and platforms.
- Build repeatable AI-Grid Networking reference architectures and communicate standard processes and trade-offs.
- Advise customers on high-performance, secure, scalable, workload-aware networks and workflows.
- Share findings and feedback to improve NVIDIA products and services.
Requirements
- MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field, or equivalent experience.
- 10+ years of relevant experience developing and deploying networks at scale as a software engineer or network architect.
- Track record of building cloud-grade networks with open-source tools and orchestration frameworks.
- Strong foundation in network topology and observability.
- Expertise in telecom network telemetry, logs, SNMP, and NetFlow/IPFI.
- Excellent communication and presentation skills for collaboration with internal and external customers.
- Hands-on experience with inference workloads, networks, and tools is preferred.
- Knowledge of SDN/NFV, security, cloud-native networking, networking stacks, and cloud architecture is preferred.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and other objective job-related factors.
- Applications accepted at least until November 3, 2026.
- This posting is for an existing vacancy.
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.