NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re 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 what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll 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.
Are you ready to tackle sophisticated distributed systems challenges at scale? Our Telemetry Platform team is looking for a Senior Software Engineer to help us build and evolve the services that collect and process data from millions of NVIDIA users worldwide. If you love working on high-impact infrastructure, we want to hear from you!
What you will be doing:
Build real-time, high-load data collection services;
Drive architectural decisions for shared infrastructure components: metrics, distributed tracing, and configuration management;
Collaborate with multi-functional teams on integration points and API contracts;
Ensure operational perfection: monitoring, and performance optimization.
What we need to see:
A Bachelor’s or Master's degree in Computer Science, Engineering, or a related field;
5+ years of software engineering experience;
Proven Java expertise (Java 17+), including JMM and concurrency;
Proficiency in Spring Boot and reactive architecture (Project Reactor or similar);
Strong understanding of distributed systems, microservices architecture, and event-driven development;
Hands-on experience with Kubernetes, Docker, and message brokers (Apache Kafka preferred);
Proficient in English.
Ways to stand out from the crowd:
Experience with AWS Cloud technology stack (or similar);
Familiarity with observability tools, including Prometheus, Grafana, and distributed tracing (OpenTelemetry or similar);
Experience building and maintaining CI/CD pipelines (GitLab CI, Jenkins, or equivalent);
Knowledge of time-series or columnar databases (ClickHouse, Cassandra).
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Widely considered to be one of the technology world’s 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/
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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