We are looking for a hands-on Software Engineer to join the Data Science Engineering Platform team and help us shape telemetry data collection, onboarding and resource governance at trillion event scale. As a Data Engineer, you will play a significant role in bridging the gap between data science needs and software engineering. Your primary responsibility will be to develop, deploy and maintain the platform services, workflows and libraries required for onboarding and collecting telemetry data in a resource prudent manner. If you are genuinely passionate about data engineering platforms, methodologies and possesses excellent problem-solving, we'd love to hear from you!
What You’ll Be Doing:
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Collaborate with multi-functional teams, including full stack engineers, data / ml ops engineers, and SREs, to craft, implement and maintain scalable services, automations and workflows.
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Develop and support data models and schemas that provide blazing-fast performance. Constantly optimize service workflows to ensure seamless data collection and onboarding.
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Implement data quality checks and observability mechanisms to ensure data integrity and accuracy at every stage. Detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem.
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Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and best practices to improve our data science platform, empowering data scientists and analysts alike.
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Foster a culture of learning and knowledge-sharing within the team.
What We Need To See:
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5+ Years of experience with Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
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Experience with cloud-based data platforms like AWS, Azure, or GCP.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in building scalable and efficient systems.
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Solid knowledge in Linux environment.
Ways To Stand Out From The Crowd:
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Attention to detail is unwavering. You take pride in delivering data services of the highest quality, turning it into insights that power critical business decisions.
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Thriving in a dynamic environment, able to juggle multiple priorities admirably without compromising on quality or precision.
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Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
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. 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.
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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