Machine Learning Engineer (NCG 2026)
San Jose, California, United States
USD 140K-160K Senior-level Full Time
Tasks
- Apply context engineering techniques
- Build RAG systems
- Build agentic workflows
- Create data pipelines for design databases
- Develop AI enabled automation workflows
- Develop model evaluation frameworks
- Implement generative AI systems
- Integrate EDA tooling with LLM capabilities
- Optimize silicon development workflows
- Write Python and C++ inference and training pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | C++ | Context engineering | Data Pipelines | Deep learning | Design automation | Electronic Design | Electronic Design Automation | Language Models | Large Language Models | Machine Learning | Optimization Algorithms | PyTorch | Python | Retrieval-Augmented Generation | VLSI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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