NVIDIA has become the platform upon which every new AI-powered application is built. From healthcare research applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding, and NVIDIA is right in the center of this revolution.NVIDIA is hiring a Senior Software Engineer to work on improving the data ingestion platform in our Autonomous Vehicles division. Our team is enabling NVIDIA and our customers to pull in the vast amounts of data generated by the various sensors in Autonomous Vehicles and make them available to downstream teams for AV development.What you’ll be doing:<ul><li>Enhance and scale our data ingestion pipelines to ensure a continuous and reliable flow of AV data into the system.</li><li>Monitor data pipelines and services to ensure data availability and reliability.</li><li>Collaborate with multi-functional teams to improve data processing efficiency, reduce latency, and enhance overall system performance.</li><li>Implement validation and data quality checks to ensure the integrity and accuracy of ingested data.</li><li>Work closely with the AV development team to understand data requirements and contribute to the enhancement of data-driven solutions.</li></ul>What We Need to See:<ul><li>BS, MS, or PhD in Computer Science, Computer Engineering, or relevant field (or equivalent experience).</li><li>8+ years of relevant professional experience working with data ingestion pipelines.</li><li>Proficiency in Golang, GRPC and distributed systems, monitoring and tracing.</li><li>Hands-on experience with temporal workflows.</li><li>Strong understanding of computer science principles and data science.</li><li>Proven track record of designing resilient, fault-tolerant distributed services that handle petabyte-scale data.</li><li>Demonstrated ability to drive cross-team initiatives and improve engineering efficiency through tooling or automation.</li><li>You take pride in your work, strive to achieve incredible results, and possess excellent communication and planning skills.</li></ul>Ways to Stand Out from the crowd:<ul><li>Hands-on experience with large-scale data ingestion systems, particularly in autonomous vehicle or high-throughput environments.</li><li>Strong contributions to open-source projects in Golang, Temporal, or related distributed systems.</li><li>Familiarity with data quality frameworks, anomaly detection, or advanced monitoring/observability techniques.</li></ul>With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and our engineering teams are growing fast in some of the hottest innovative fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us with the next wave of autonomous driving solutions. If youre passionate about autonomous vehicles, we would love to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until September 14, 2025.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.