Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 7 Algorithms @ 7 Machine Learning @ 7 Communication @ 4 Perl @ 7 Data Analysis @ 8Details
NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, continually innovating in creative and unique ways to deliver extraordinary solutions in various sectors.
Responsibilities
- Work with pre-silicon and post-silicon data analytics, including visualization, insights, and modeling.
- Collaborate with multi-functional teams to implement new methodologies for optimizing chip feature design/validation flow and simplifying work for the Silicon Solution Group.
- Address hard-to-solve problems involving algorithm design, statistical analysis, and applied AI methods.
Requirements
- BSEE with 10+ years, MSEE with 8+ years, or PhD with 5+ years experience in Data Visualization, Applied Machine Learning, or Database Management.
- Outstanding written and oral communication skills with curiosity to work on rare challenges.
- Familiarity with AI models.
- Excellent knowledge of statistical tools for data analysis and insights.
- Strong programming and scripting skills in Perl, Python, C++, or Tcl.
- Strong fundamentals in software algorithms and object-oriented programming.
- Ability to break down complex problems and reuse available solutions effectively.
- Exposure to performance control/tuning, power management.
- Experience in Silicon debug and bring-up is a plus.