2 days ago
Remote, United States or Santa Clara, CA, USASenior / Staff+
H1B sponsor
Base Salary
$152k - $288k/yr
Responsibilities
- Design and deploy LLM-powered validation pipelines for post-silicon semiconductor environments.
- Partner with cross-functional engineering teams to identify and implement AI-driven workflow improvements.
- Evaluate emerging AI frameworks and architectures and recommend technologies for adoption.
- Build data systems and quantitative indicators to measure AI impact and drive continuous improvement.
- Own applied AI solutions from concept and prototyping through production deployment.
Requirements
- BS, MS, or PhD or equivalent experience in computer science, electrical engineering, computer engineering, or a related field.
- 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
- 2+ years of direct applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end to end.
- Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
- Experience deploying, monitoring, and debugging scalable AI/ML models.
- Strong electrical engineering fundamentals, including computer architecture, high-speed interfaces, timing, power basics, firmware/driver structures, and hardware interaction.
- Experience in a silicon development environment, including chip and system characterization methodologies.
- Hands-on experience with silicon bring-up, characterization, or lab debugging using oscilloscopes, multimeters, or logic analyzers.
- Familiarity with modern AI technologies, LLM launches, and translating AI research into production tools is preferred.
- Experience with PyTorch or TensorFlow and agentic/orchestration tools such as NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n is preferred.
- Experience debugging complex hardware/software interactions and leading root-cause analysis of silicon or feature-level issues is preferred.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay.
- Applications accepted at least until September 15, 2026.
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.