Tech Stack
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.
AI @ 4
Agentic AI
Communication @ 6
Customer Support @ 4
Engineering Management @ 4
Leadership @ 6
Machine Learning
- 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 looking for an experienced manager to lead a solution engineering team focused on customer support of NVIDIA software products such as AI Enterprise, Omniverse, and vGPU. The team will apply the latest AI technologies to triage customer issues, identify solutions, and improve customer support. AI is foundational to solution engineering workflows, including resolving customer cases and developing product and internal software tools.
Responsibilities
- Provide direct support to NVIDIA Enterprise customers to resolve or advance customer issues.
- Work with engineering teams on customer issues by providing logs, reproduction steps, and other triage information.
- Apply AI to create and update product and support tools.
- Take ownership of customer issues from inception through resolution.
- Document customer interactions to enhance the knowledge base.
- Participate in the creation, maintenance, and versioning of documentation related to enterprise support processes, procedures, and guidelines.
- Apply agentic AI skills to create standard processes and improve collaboration within the team and across other teams.
- Lead teams and projects.
- Mentor new engineers and interns and support employee development.
Requirements
- Bachelor of Science degree in Computer Science, Electrical Engineering, or equivalent experience.
- At least 5 years of software engineering experience.
- At least 2 years of management experience.
- Excellent leadership skills.
- AI/ML expertise.
- Professional-level communication skills, including the ability to adapt communication to the technical level of the audience and remain calm and focused in negative situations.
- Excellent follow-up and organizational skills, with a passion for solving problems.
Preferred Qualifications
- Software engineering management experience.
- Customer support management experience.
- Technical expertise in technologies related to NVIDIA AI Enterprise, Omniverse, and vGPU.
Compensation and Benefits
The base salary range is USD 200,000–322,000 for Level 3 and USD 248,000–391,000 for Level 4. The position also includes eligibility for equity and benefits. Applications will be accepted at least until April 5, 2026.
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