NVIDIA is hiring a Senior Software Engineer to work on improving the data ingestion platform in our Autonomous Driving 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 our Machine-Learning teams for AI development.
What you'll be doing:
Enhance and scale our data ingestion pipelines to ensure a continuous and reliable flow of AV data into the system.
Monitor data pipelines and services to ensure data availability and reliability.
Collaborate with multi-functional teams to improve data processing efficiency, reduce latency, and enhance overall system performance.
Implement validation and data quality checks to ensure the integrity and accuracy of ingested data.
Work closely with the AV development team to understand data requirements and contribute to the enhancement of data-driven solutions.
What we need to see:
BS/MS/Phd in Computer Science, Engineering or other technical fields or equivalent experience
5+ years of experience working in the industry
Proficiency in Golang and distributed systems.
Strong understanding of computer science principles and data science
You are extremely motivated, highly passionate, curious about and follow state-of-the-art technologies.
You take pride in your work and strive to achieve incredible results and possess excellent communication and planning skills.
Be willing to solicit and incorporate feedback and maintain a continuous improvement mindset.
The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (***/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.
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.
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