$152,000 – $230,000
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA seeks a senior engineer to develop data analytics and machine learning solutions for design-for-test methodology on advanced semiconductor chips, working with pre- and post-silicon data to solve complex validation challenges. This role suits engineers with strong backgrounds in data pipelines, statistical analysis, and applied AI who want to impact chip architecture at a leading semiconductor company.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- C++
- Data Modeling
- Database Management
- ETL
- Machine Learning
- Microsoft Azure
- Perl
- Python
- SQL
- Statistical Analysis
- Tcl
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What they ask for
Required
- BSEE with 5+ years experience, or MSEE with 3+ years, or PhD with 1+ year in low-power DFT, data visualization, applied machine learning, or database management
- SQL, ETL, and data modeling experience
- Cloud platform experience (AWS, Azure, or GCP)
- Scalable and fault-tolerant distributed database design and implementation
- Data modeling, performance tuning, and capacity planning for large-scale storage
- Statistical tools for data analysis and insights
- Programming and scripting in Perl, Python, C++, or Tcl
- Strong written and oral communication skills
Nice to have
- Data pipeline and database architecture experience for real-world systems
- AI application experience for EDA problem-solving
- Proven ability to guide and influence within dynamic environments