
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ Artificial Intelligence
Healthcare ⢠Manufacturing ⢠Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
đĽ 1 minute ago
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10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ Artificial Intelligence
Healthcare ⢠Manufacturing ⢠Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
⢠Design, build, and tune real-time, high-throughput services that ingest, validate, and route telemetry events from NVIDIA products worldwide ⢠Make ingestion durable end to end through delivery guarantees, backpressure, persistent buffering, and graceful degradation ⢠Drive architecture for the data collection platform, including schema management and shared libraries for metrics, tracing, and configuration ⢠Lead design reviews and write clear technical documents ⢠Mentor other engineers ⢠Own production services, including participation in a shared on-call rotation and incident management
⢠BS or MS in Computer Science, Engineering, or a related field, or equivalent experience ⢠7+ years building backend services that run in production ⢠Deep expertise in modern Java (17+) and Spring Boot, including concurrency, the Java Memory Model, and performance profiling ⢠Strong distributed systems fundamentals, including microservices, event-driven architecture, delivery semantics, and failure handling ⢠Experience running large-scale services with Docker, Kubernetes, and message brokers, preferably Apache Kafka, on AWS or another major cloud ⢠Hands-on experience with automated testing, CI/CD, and production observability ⢠Proficiency in agentic engineering (AI coding agents) ⢠Fluent English ⢠Production experience with reactive, non-blocking Java, including Project Reactor, Spring WebFlux, and Netty ⢠Background in telemetry, analytics, or high-volume data ingestion ⢠Experience with schema management for event data, including schema registries, validation, and compatible schema evolution ⢠Knowledge of security and privacy fundamentals, including OAuth 2.0, JWT, network and cloud security, and GDPR
⢠Shared on-call rotation and incident management responsibilities ⢠Mentorship opportunities ⢠Production ownership of services
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