We are now looking for a Senior Data Scientist for the DGX Cloud team. As a Data Scientist, you will turn data into information, information into insight, and insight into business decisions to help optimize the engineering process and align strategic direction. You will work closely with our leadership team, internal partners, and engineering, providing them with insight and data that enables effective changes across the organization.
Our projects include user behavior profiling, user base segmentation, and campaign targeting. Our technology stack relies on industry-standard open source components (Hadoop/Hive, Spark, ELK, Tableau, Cassandra, Avro, Kafka, Aerospike, Redis, PostgreSQL, etc.) and proprietary tools implemented in Python. Are you a versatile, visionary, and ambitious engineer who can help us grow our solutions for data analysis?
What you will be doing:
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Develop models to understand and predict how various failure rates of infrastructure and hardware systems affect total system efficiency and performance.
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Take academic modeling theories and apply to them to real world situations to optimize performance and make software feature development decisions.
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Apply ML/AI techniques to solve and improve the productivity of GPUs in our data centers/
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Develop frameworks for data ingestion and processing.
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Extend our intelligent approaches to detect and to dentify inconsistencies in data pipelines. You will develop scalable algorithms (for data processing and machine learning) to diagnose the root causes of errors.
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You will act as a link, working within and coordinating between multiple distributed teams for end-to-end feature delivery.
What we need to see:
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Bachelor's Degree in Computer Science, statistics or related field (or equivalent experience)
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12+ years of professional experience in software development and building successful production software systems
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Proven ability in solving problems using machine learning algorithms and techniques (clustering, classification, outlier analysis, anomaly detection) and deep learning models (Neural Networks)
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We expect you to have system design/architecture skills to build reliable data flows, combining analytical batch processing and low-latency services. You have a passion for efficient algorithms and data structures, advantages/limitations of using them in distributed environments
Ways to Stand Out from the crowd:
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Excellent interpersonal, presentation and reporting skills should be your strong sides
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Strong oral and written communication skills in English
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Demonstrated skills as a senior engineer (i.e. mentoring, leading out in product designs, managing projects, architecting products). Love for PC/mobile gaming will help you in working with our data sets
NVIDIA is leading groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. 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 groundbreaking creativity and discovery, and powers inventions once considered science fiction, including artificial intelligence and autonomous cars.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.
The base salary range is 220,000 USD - 419,750 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. 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.
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.”
