NVIDIA Corporation

Senior Software Engineer, Agentic AI and Observability

NVIDIA Corporation$168K — $270K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Software Engineering, or relevant experience.
  • 8+ years of strong software engineering skills in Python.
  • Hands-on experience with container orchestration tools like Kubernetes and Docker.
  • Experience with observability platforms such as Datadog, Grafana, or Prometheus.
  • SRE/DevOps mindset focusing on production ownership and reliability improvement.
  • Excellent problem-solving abilities for debugging complex systems.

Responsibilities

  • Build observability solutions for agentic AI applications in production.
  • Develop deployment pipelines and reliability tools for AI systems.
  • Collaborate with AI teams to define SLOs/SLIs for agent deployments.
  • Instrument workflows for performance monitoring in LLM applications.
  • Drive incident response and root cause analysis for AI services.
  • Identify observability gaps in agentic AI systems and implement fixes.
  • Work with various engineering groups to ensure reliability throughout the lifecycle.

Benefits

  • Equity opportunities.
  • Comprehensive benefits package.
  • Potential for remote work options.
Full Job Description
Ready to develop the future of AI at NVIDIA? Join our BizApps SRE team to advance the Agentic AI Factory model, a critical initiative aimed at fast development, deployment, and operation of AI-powered applications across the enterprise. As a Software Engineer, you will be positioned at the intersection of agentic AI and Business applications. You will guarantee that our AI agents and automation workflows perform reliably, efficiently, and at scale. This opportunity lets you craft tooling and instrumentation that enable BizApps teams to release AI-powered products faster.

What you'll be doing:
  • Build and implement observability solutions for agentic AI applications in production, including metrics, tracing, logging, and alerting.
  • Develop and sustain deployment pipelines and reliability tools for the Agentic AI Factory model.
  • Partner with AI application teams to define SLOs/SLIs and ensure production readiness for new agent deployments.
  • Instrument LLM-based workflows for performance, cost, and quality monitoring, covering multi-step reasoning chains, token usage, and tool orchestration.
  • Drive incident response, root cause analysis, and reliability improvements for BizApps AI services.
  • Identify and close observability gaps outstanding to agentic AI systems, such as hallucination detection and orchestration failure tracing.
  • Work jointly with platform, data, and application engineering groups to integrate reliability throughout the development lifecycle.


What we need to see:
  • BS or MS in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 8+ years of experience and strong software engineering skills in Python and experience with modern CI/CD practices.
  • Hands-on experience with container orchestration (Kubernetes, Docker) and cloud infrastructure.
  • Experience with observability and monitoring platforms such as Datadog, OpenTelemetry, Grafana, or Prometheus.
  • SRE / DevOps approach - taking ownership of production systems, automating toil, and building for reliability.
  • Excellent problem-solving skills and a proven track record of debugging complex distributed systems.


Ways to stand out from the crowd:
  • Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and agentic AI build patterns.
  • Experience operating ML/AI systems in production environments.
  • Familiarity with AI-specific observability challenges - latency profiling for inference, token economics, timely response quality monitoring.
  • Contributions to open-source observability or AI tooling projects.
  • Experience with infrastructure-as-code (Terraform, Pulumi) and GitOps or equivalent experience workflows.


Be part of a team that's crafting the future of AI at NVIDIA!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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