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.
Security @ 4
Software Development @ 4
Linux @ 4
DevOps @ 4
Automated Testing @ 4
Python @ 7
CI/CD @ 4
Leadership @ 8
Communication @ 7
ServiceNow @ 4
OSS @ 4
AI @ 4
Agentic AI @ 3
RAG @ 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. The company is building the next era of computing powered by AI. This role is for a deeply technical, hands-on Senior Software Engineering Manager to lead development of next-generation AI-driven solutions on the ServiceNow platform to enhance business efficiency and productivity. The role requires strong expertise in platform architecture, full-stack development, enterprise integrations, and familiarity with emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI.
Responsibilities
- Drive the design and implementation of scalable, intelligent workflows and applications across ServiceNow modules such as ITSM and HRSD.
- Define architectural standards and ensure secure, scalable, and high-performing platform solutions.
- Own and manage the ServiceNow platform end-to-end, including strategy, roadmap, upgrades, and overall platform health.
- Establish and enforce platform governance standards for architecture, security, scalability, and user experience.
- Ensure high availability, performance, and stability of platform operations and service delivery.
- Lead, mentor, and grow a global team of engineers, including internal staff and external partners.
- Manage vendors and partners to ensure high-quality delivery, performance, and cost efficiency.
- Drive continuous improvement, innovation, and automation to enhance efficiency and user experience.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience).
- 6+ years of experience leading and managing high-performing engineering teams.
- 12+ years overall experience with enterprise architecture, IT leadership, or large-scale software engineering and platform management (including SaaS and AI/ML systems).
- Strong programming skills in Python and experience with system-level development.
- Hands-on experience with test automation, production testing, and automation frameworks.
- Solid understanding of Linux, embedded systems, firmware, and hardware/software integration.
- Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred).
- Experience with DevOps practices, CI/CD pipelines, automated testing frameworks, and structured software development methodologies.
- Proven ability to lead complex, cross-functional projects and collaborate across engineering, product, and business teams.
- Strong leadership, communication, problem-solving, and analytical skills, with the ability to drive strategy, process discipline, and organizational change.
Preferred / Ways to stand out
- Experience implementing enterprise-grade governance for agent systems (controls, auditability, monitoring, policy enforcement) in production autonomous workflows.
- Demonstrated success taking new/open-source agent constructs from POC to production adoption, with measurable business impact (cycle time, quality, cost, reliability).
- Built and scaled an agent platform or agent developer experience used by multiple teams (SDKs, templates, reference apps, reusable building blocks).
- Clear point of view and real examples on build-vs-use decisions (when to adopt OSS/3P vs build internal primitives) and how to operationalize the choice.
- Deep experience with agent evaluation at scale (long-horizon tasks, tool correctness, reliability testing, automated regressions, offline/online feedback loops).
Compensation & Benefits
- Base salary range: 248,000 USD - 391,000 USD (determined based on location, experience, and internal pay equity).
- Eligible for equity and company benefits (link to benefits provided in original posting).
Additional Information
- Applications for this job will be accepted at least until April 11, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.