Data Engineer, Log Analytics

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.  Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join NVIDIA, a leader in revolutionizing computer graphics, PC gaming, and accelerated computing for over 25 years. Our unwavering dedication to innovation has propelled us to the forefront of AI and advanced data technology. We are in need of dedicated individuals to join us as we delve into the wide range of opportunities in analyzing large data sets. Join our team to build the future of computing with vast datasets and innovative AI solutions. This role is your chance to collaborate with world-class technology and brilliant engineers in an environment that fosters creativity, precision, and excellence. Become a Data Engineer specializing in Log Analytics to push the boundaries of data analytics!

What you’ll be doing: 

• Own the development of innovative technologies and strategies, emphasizing the effective visualization and analysis of log data.

• Analyze Syslog and telemetry data with precision to predict and classify errors and job failures.

• Collaborate with colleagues to establish new technology directions and effectively deploy groundbreaking log analytics solutions.

• Collaborate with multi-functional teams to identify efficient data analysis strategies and methods.

What we need to see:

• PhD or equivalent experience in Computer Science, Engineering, or a related field.

• Must have a background of 2+ years or more in data analysis, focusing on log analysis.

• Proficiency in data analytics and log analysis, including practical skills in Syslog/telemetry data analysis.

• Proven experience in predictive and classification analytics.

• Excellent problem-solving and collaboration abilities.

• Demonstrated ability to adapt to new analytic technology and methodologies.

• Experience in a management or leadership role is advantageous for higher-level positions.

Ways to stand out from the crowd: 

• Experience leveraging Large Language Models (LLMs) for advanced syslog analysis and mining.

• Proven track record of success working with NVIDIA systems, or similar GPU-accelerated platforms.

• Demonstrated excellence in developing innovative data models or algorithms that improve log analytics efficiency.

• Advanced proficiency in developing and deploying AI solutions tailored for large-scale data processing tasks.

• Prior experience leading projects that required interdisciplinary collaboration and cutting-edge technology deployment.

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 www.nvidiabenefits.com/