AI Research Scientist — Agentic AI and Foundation Models
Core
Research and develop language models and intelligent agents for complex technical tasks in software and hardware development.
Role type
Senior IC AI Research Scientist (Agentic AI & Foundation Models)
Builds
Production-ready models, agents, and evaluation benchmarks for software/hardware workflows
Domain
Artificial Intelligence, Machine Learning, Software Engineering, Hardware Design
Deliverable
production ML models
Required skills
LLM pre-training/post-training, reinforcement learning, agent design, reasoning and planning, tool use, Python, deep learning frameworks, distributed training, synthetic data generation, benchmark creation
Preferred skills
Publications in NeurIPS/ICML/ICLR/ACL/EMNLP, RTL optimization, formal verification, compilers, GPU kernels
Technologies
Python, LLMs, Reinforcement Learning, Synthetic Data, Benchmarks
Responsibilities
Research methods for reasoning, planning, tool use, and memory; Develop pre-training and post-training approaches; Build learning pipelines with curated corpora and agent trajectories; Apply reinforcement learning for agent performance; Investigate inference-time reasoning and search; Develop agents for code generation and verification; Create benchmarks for correctness and generalization; Collaborate with software and hardware teams; Publish research findings
Seniority
Senior, hands-on IC
