Senior AI Solutions Engineer - GPU-Accelerated Platforms

NVIDIA Corporation; New York (NY); On-site; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Enterprise Solutions Engineering is seeking an experienced engineer to triage GPU-accelerated platform issues, collaborate with product and software teams, and apply AI techniques to improve customer solutions and internal tools. You will diagnose complex Linux-based systems, multi-GPU workloads, and firmware-level components in large data center environments.

Applicants should have strong programming skills in C/C++, Python, and experience with Docker, Kubernetes, and Slurm.

Qualifications

• Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience.
• 5+ years of engineering experience with multi-GPU platforms.
• Strong system software (firmware, BIOS, kernel, driver, operating system) expertise.
• Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
• Containerized solutions experience with Docker, Kubernetes, and/or Slurm.
• Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.
• Excellent follow-up and organizational skills, with a passion or love for solving problems.
• Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers
• Proficient in Python programming with the ability to build custom tools

Responsibilities

• Provide direct support to NVIDIA Enterprise customers to resolve or advance customer issues.
• Work with engineering teams on customer issues, providing logs, reproduction, and other triage information.
• Apply AI to create/update products and/or support tools.
• Take ownership and drive customer issues from inception to resolution.
• Document customer interactions to better enhance our knowledge base.
• Apply agentic AI skills to solving customer issues and software development.
• Occasional work on weekends and holidays to support customers

Skills

Linux

C/C++ programming

Python programming

Docker

Kubernetes

Slurm

Multi-GPU platforms

Firmware/BIOS/kernel/drivers

Problem solving

Communication skills

Education

BS in Computer Engineering or Electrical Engineering

Tools

Docker

Kubernetes

Slurm

Job description

NVIDIA Enterprise Solutions Engineering is seeking an experienced engineer to triage GPU-accelerated platform issues, collaborate with product and software teams, and apply AI techniques to improve customer solutions and internal tools. You will diagnose complex Linux-based systems, multi-GPU workloads, and firmware-level components in large data center environments.

Applicants should have strong programming skills in C/C++, Python, and experience with Docker, Kubernetes, and Slurm.