About the role
We are seeking a highly skilled Data Platform SW Engineer to join the Applied Networking AI group. In this role you will help develop advanced data acquisition solutions for the fields of predictive-maintenance, root-cause analysis and AIOPS. You'll collaborate closely with subject-matter-experts (SMEs), applied-researchers, architects, data-engineers and other stakeholders to push the envelope forward in using cutting-edge technologies and data-driven insights to improve NVIDIA's products.
As a key contributor you will develop and own metric-extraction, measurement and telemetry tools that enable a high resolution viewpoint into the hardware. You will experiment and iterate fast and in collaboration with applied-researchers to improve our ML diagnostic and prediction toolkit.
What you'll be doing:
Lead the development of advanced metric and measurement tools for real-time data collection and processing, to enable a high resolution viewpoint into the full set of HW components that compose NVIDIA's AI factory solutions (GPUs, networking interfaces, etc).
Work alongside applied-researchers to experiment and iterate on the bridge between metrics and ML.
Partner with architects and product managers to gain a deep understanding of NVIDIA’s hardware and roadmap.
Collaborate with data-engineers to enable high resolution tools at scale.
What we need to see:
BSc in Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
5+ years of hands-on experience demonstrating deep system knowledge and metric extraction development.
Strong understanding of networking, hardware/software systems, performance behavior, or failure analysis.
Solid understanding of AI/ML modeling and statistics.
Excellent ability to convey and communicate data-based insights to stakeholders and management.
Ways to stand out from the crowd:
Experience diagnosing or debugging modern AI hardware.
High energy and a positive, proactive and curious approach.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
