Lead and expand a team focused on designing and delivering high-quality, scalable enterprise solutions to ensure seamless employee experiences.
Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks. Push the boundaries of what AI-assisted operations can achieve.
Build robust integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS. Own the full stack from infrastructure to user facing tools.
Providing hands-on technical guidance, including co-authoring, reviewing, and shipping production code.
Leading, mentoring, and growing the team of engineers responsible for the design, build, and operation of enterprise grade software and solution.
Defining and driving the multi-quarter roadmap for automation and AI-assisted operations and tooling.
Planning and managing team execution, which includes project prioritization, milestone tracking, capacity planning, and ensuring on-time delivery.
Supporting key organizational activities, including hiring, performance management, career development for the team.
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
6+ years of experience leading and managing high-performing engineering teams
12+ overall years of experience in Infrastructure, SRE, DevOps, or Production Engineering, including
Proven track record of building and scaling teams from the ground up in a fast-paced, high-growth environment.
Deep expertise in building software solutions and automation.
Strong hands-on skills with infrastructure-as-code, CI/CD, containerization (Kubernetes), and cloud platforms (AWS, GCP, or Azure).
Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, PagerDuty, or similar).
Strong programming skills in Python, Go, or similar languages for automation and tooling.
Exceptional communication skills with the ability to influence across engineering, product, and executive stakeholders.
Exceptional ability to translate "deep tech" into business value.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD. You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 7, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Additional Information
For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the "brains" of computers, robots, and autonomous vehicles that can comprehend the world. This pioneering work demands vision, innovation, and the world's best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.
We are seeking a hands-on Senior Software Engineering Manager who has a passion for cultivating high impact engineering teams to support users and systems across our worldwide production environment. This role involves leading engineers who are responsible for developing scalable, reliable, enterprise software and services. You will be instrumental in fostering a culture of automation, self-service, and clear documentation. You will be a hands -on technical leader who owns the full, end-to-end delivery of solutions including below core functions.
Nvidia · Santa Clara, CA