NVIDIA is advancing AI and accelerated computing to tackle complex challenges across industries.
We are searching for an experienced, passionate full-stack engineer to develop, build, and manage highly scalable distributed services.
About NVIDIA
Our Infrastructure organization creates the platforms that empower NVIDIA’s engineering teams worldwide.
These services run on thousands of servers and handle millions of automated jobs daily, directly boosting the efficiency of thousands of NVIDIA software engineers.
Responsibilities
Develop, create, and manage scalable, highly available cloud services that schedule and run jobs across thousands of systems.
Develop services, APIs, and automation tools for engineering workflows.
Lead the process to develop reviews and promote incremental, low-risk rollouts of major infrastructure features.
Build and improve CI/CD pipelines for builds, testing, and deployment.
Deploy and handle containerized services on Docker and Kubernetes, and automate routine operational tasks.
Improve monitoring, logging, dashboards, and alerting to detect service health issues early, cut alert noise, and speed up troubleshooting.
Detect and fix issues by examining logs and metrics to improve system reliability.
Mentor junior engineers and collaborate with teams across time zones.
examining logs and metrics to investigate failures, set SLOs, and boost reliability.
Experience building systems that perform reliably with limited operational intervention.
Requirements
BS/MS in Computer Science, Engineering, or equivalent experience, with 5+ years building large-scale backend or distributed systems.
Java expertise, including concurrency, performance tuning, and debugging.
Proven experience crafting and operating large-scale full-stack applications in production.
Solid grounding in data structures, algorithms, distributed system development, and testing practices.
Hands-on experience with relational databases (e.g., MySQL) and at least one NoSQL store (e.g., Elasticsearch, MongoDB, Cassandra).
Experience working with Docker and Kubernetes, as well as infrastructure automation tools like Ansible or Chef.
Experience with one or more monitoring and observability tools (e.g., Prometheus, Grafana, Kibana, Splunk), with a focus on actionable alerts.
Strong communication skills and the ability to collaborate across teams and time zones.
Ways to stand out from the crowd: Experience managing major infrastructure features from development through phased production deployment.
Ability to break complex problems into simple parts and reuse existing solutions.
