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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an NVIDIAN, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you'll be doing: * Lead the technical strategy and roadmap for large-scale, multi-functional SRE initiatives that boost reliability, scalability, and developer efficiency throughout enterprise systems. * Design and build resilient distributed systems that power NVIDIA's next-generation AI-powered enterprise products and services, including transforming legacy applications and database systems into modern and scalable architectures. * Drive automation and observability improvements, using metrics and analytics including AI workload quality signals and model performance telemetry to improve performance, reliability, and efficiency. * Build LLM-aware monitoring and autonomous incident response pipelines to reduce toil, accelerate MTTR, and evolve on-call operations toward AI-assisted remediation. * Work together with Cloud, Platform, Security, and AI/ML groups to develop modern SRE elements and AI-native platform features that guarantee high availability and secure operations. * Analyze and run complex systems including Kubernetes-scale and AI/ML infrastructure challenges championing standards in system design and incident management. * Drive AI-assisted and AI-first engineering practices across the organization, mentoring engineers to adopt agentic development workflows, coding agents, and LLM-powered tooling in their day-to-day work. What we need to see: * 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles. * BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience. * Strong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure-as-code and distributed systems debugging. * Experience with infrastructure-as-code tooling such as AWS CDK, AWS CloudFormation, Terraform, or CrossPlane. * Solid understanding of OpenTelemetry or other observability implementations at scale, including observability build for AI workloads (model performance, drift detection, and AI quality signals). * Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP), including bare-metal and GPU-accelerated infrastructure. * Outstanding problem-solving, communication, and collaboration skills, with the ability to influence across technical and interpersonal boundaries. Ways to stand out from the crowd: * Experience with Public Cloud or large-scale automation systems. * Capability to steer technical strategy and achieve quantifiable reliability results in complex, multi-team settings. * Experience building or operating agentic AI platforms autonomous or semi-autonomous including LLM toolchains, agent orchestration frameworks (e.g., LangGraph, AutoGen), or automated runbook and toil-reduction processes. * A strong sense of ownership, curiosity, and innovation and turn challenges into opportunities. NVIDIA leads the charge in innovative breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, functions as the visual cortex of todays computers and forms the core of our products and services. Our work opens new realms to explore, encourages outstanding creativity and discovery, and powers inventions once thought of as science fiction from artificial intelligence to autonomous systems. NVIDIA is searching for outstanding talent like you to help us advance the next wave of artificial intelligence! Widely considered to be one of the technology worlds most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.