7 days ago
Base Salary
$140k - $270k/yr
Responsibilities
- Provide direct technical support to NVIDIA Enterprise customers and resolve or advance customer issues.
- Triage hardware platform issues and AI/ML workloads on large-scale, rack-scale multi-GPU systems.
- Collaborate with engineering teams by supplying logs, reproductions, and other customer issue information.
- Own customer issues from inception through resolution and document interactions in the knowledge base.
- Apply AI and agentic AI to products, customer support workflows, and internal software tools.
- Provide occasional customer support on weekends and holidays.
Requirements
- Minimum BS in Computer Engineering, Electrical Engineering, or equivalent experience.
- At least 5 years of engineering experience with multi-GPU platforms.
- Strong expertise in firmware, BIOS, kernel, drivers, operating systems, and system software.
- Strong Linux troubleshooting, optimization, and customization skills for AI/ML workloads.
- Experience with Docker, Kubernetes, and/or Slurm.
- Professional communication, follow-up, organizational, and problem-solving skills.
- Proficiency in C/C++ for platform operating systems, firmware, BIOS, kernels, and drivers.
- Proficiency in Python for building custom tools.
- Preferred experience with parallel programming, GPU acceleration such as CUDA, GPU-accelerated/cloud/virtualized environments, distributed workload efficiency analysis, NCCL, MPI, clustering, or HPC datacenter technologies.
Benefits
- Competitive base salary and comprehensive benefits package.
- Eligibility for equity and benefits.
- Occasional weekend and holiday work may be required to support customers.
- Applications accepted at least until November 3, 2026.
Tech Stack
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.