Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Leadership @ 3
Communication @ 3
Engineering Management @ 3
Customer Support @ 3
AI @ 3
Agentic AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking an experienced manager to lead a solution engineering team focused on customer support for NVIDIA software products (AI Enterprise, Omniverse, vGPU). The team will apply AI broadly — to triage customer issues, develop support and product tools, and drive improvements to processes and workflows. The role combines hands-on technical problem solving, people leadership, project ownership, and applied AI/ML.
Responsibilities
- Provide direct support to NVIDIA Enterprise customers to resolve or advance customer issues.
- Work with engineering teams on customer issues, providing logs, reproduction steps, and other triage information.
- Apply AI to create or update product and internal support tools.
- Take ownership and drive customer issues from inception to resolution.
- Document customer interactions to improve the knowledge base.
- Participate in creation, maintenance, and versioning of documentation related to enterprise support processes, procedures, and guidelines.
- Apply agentic AI skills to create new standard processes and improve cross-team collaboration and workflows.
- Lead teams and projects; mentor new engineers and interns and nurture employee growth.
Requirements
- Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.
- At least 5 years of overall software engineering experience.
- At least 2+ years of management experience.
- Excellent leadership skills.
- AI/ML expertise.
- Professional-level communication skills with ability to adjust to technical level of audience and remain calm in difficult situations.
- Strong follow-up and organizational skills and a passion for problem solving.
Ways to stand out
- Software engineering management experience.
- Customer support management experience.
- Technical expertise in technologies related to NVIDIA AI Enterprise, Omniverse, and vGPU.
Compensation & Other
- Base salary ranges (determined by location, experience, and internal pay):
- Level 3: 200,000 USD - 322,000 USD
- Level 4: 248,000 USD - 391,000 USD
- Eligible for equity and benefits.
- Applications accepted at least until April 5, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.