3 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Advise customers, partners, and OEMs on mapping large-scale workloads to NVIDIA technology.
- Co-design scalable on-premises AI architectures, integration milestones, and deployment plans.
- Design, validate, deploy, and support solutions involving hardware, firmware, operating systems, and platform software.
- Lead technical engagements, troubleshoot complex issues, and advocate for customer and partner needs.
- Drive technical enablement and adoption of NVIDIA SDKs, frameworks, and systems.
- Collaborate with engineering and product teams to improve NVIDIA solutions and influence product priorities.
- Tailor solutions to specific environments while balancing risk, performance, and supportability.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 5 years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
- At least 3–5 years of hands-on experience with compute, networking, and storage hardware and software platforms.
- Deep expertise in system management software, operating systems, system firmware, and hardware infrastructure deployed at scale.
- Experience driving product integrations and contributing to software, hardware, systems, or libraries.
- Hands-on experience deploying, using, and operating on-premises AI-focused solutions, including rack-scale firmware, cluster management, workload management, and underlying hardware.
- Strong communication and problem-solving skills, with the ability to explain complex technical concepts to engineers and executives.
- Preferred experience with NVIDIA Base Command Manager, MaaS, Slurm, Kubernetes, BMCs, PCIe communication, and network topologies.
Benefits
- Open to remote work locations.
- Occasional travel is required for local customer site visits and industry events.
- Eligible for equity and benefits.
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.