Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
ElasticSearch @ 3
Grafana @ 3
Linux @ 3
Python @ 6
Machine Learning @ 3
TensorFlow @ 3
JavaScript @ 6
Mathematics @ 3
Data Analysis @ 3
Debugging @ 5
Splunk @ 3
PyTorch @ 3
GPU @ 3
Deep Learning @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a candidate to perform data analysis for datacenter applications. This role contributes to advancements in artificial intelligence and GPU computing by analyzing large-scale system design and applying machine learning to GPU-accelerated clusters. The team works with accelerated computing and deep learning software/hardware platforms, OS and container technologies, GPU compute and systems specialists to architect, develop, and optimize large-scale performance software components.
Responsibilities
- Analyze large-scale workloads and search for application and infrastructure improvement opportunities.
- Provide actionable insights on high-dimensional data to assist engineers in building solutions based on NVIDIA technology.
- Research and analyze data, identify trends, link changes to recorded events, craft conclusions, and create visuals to support data-driven decisions.
- Work closely with team members to learn analysis needs and communicate findings.
- Apply machine learning or deep learning techniques for classification and prediction; implement and integrate models into existing software toolsets for team use.
- Document work and materials to enable the team to build on contributions.
Requirements
- 4+ years of experience debugging and analyzing data and building visuals that show trends of interest.
- BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent program.
- Strong programming skills, especially in Python and JavaScript.
- Exposure to telemetry tools such as Grafana, Elasticsearch, or Splunk.
- Understanding of core machine learning techniques and concepts.
- Fast self-learning capabilities, strong analytical and problem-solving skills.
- Strong teamwork and interpersonal skills; desire to learn and be part of a committed team.
Preferred / Ways to Stand Out
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Action-driven analytical skills with attention to detail.
- Exposure to high-performance or large-scale computing environments.
- Experience visualizing high-dimensional data problems.
- Exposure to Linux-based operating systems.
Benefits
NVIDIA offers a comprehensive benefits package including health care (medical, dental, vision), 401(k) with company matching and after-tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, and life and disability protection. Employees in eligible sales and positions may be eligible for commission.
Compensation
- Base salary range (Level 2): 124,000 USD - 195,500 USD per year.
- Base salary range (Level 3): 152,000 USD - 241,500 USD per year.
- Eligible for equity and benefits.
Other Information
- Applications for this job will be accepted at least until April 21, 2026.
- This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer.