10 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Develop high-performance software for test-pattern generation, silicon testing, failure analysis, and yield learning.
- Create efficient parallel graph traversal and graph analysis techniques.
- Collaborate with multifunctional teams on problems spanning multiple technical areas.
- Apply LLMs, RAG systems, graph-based machine learning, and reinforcement learning to EDA solutions.
- Deploy or develop large-scale agentic applications, including multi-agent systems, evaluation, and observability tooling.
Requirements
- Bachelor’s degree in Electrical Engineering or Computer Science, or equivalent experience; a master’s degree or higher is preferred.
- 5+ years of software development experience.
- Strong programming experience in Python or C++; hands-on modern C++ development is a strong plus.
- Experience using LLMs, graph neural networks, and reinforcement learning for efficient EDA solutions.
- Expertise in high-performance algorithms for DFT, simulations, and failure analysis.
- Understanding of agent architectures, RAG systems, and communication protocols.
- Deep familiarity with reinforcement learning algorithms including PPO, SAC, or Q-learning, including hyperparameter and reward-function tuning.
- Hands-on experience with large-scale training such as ZeRO and data processing such as Spark.
- Preferred qualifications include experience with DFT, failure analysis, CAD tools, agentic frameworks, LLM fine-tuning, advanced multi-agent systems, RAG pipelines, and vector databases.
- Excellent communication skills.
Benefits
- Competitive base salary with equity and benefits.
- The posting provides salary ranges of $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4.
- Applications will be accepted at least until November 3, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.