Staff Engineer Agentic Models

Renesas Electronics • Austin, TX

10h • Hybrid

About The Position

If you’re a builder with a passion for AI, Renesas Electronics wants you on our SoC AI team as a Staff Engineer focused on agentic models. We’re redefining how autonomous systems interact with the real world, and we need creative minds who thrive in rapid-paced, mission-driven environments. Here, you’ll gain unique experience integrating AI models with both software and hardware, learning how to make autonomous systems function seamlessly across the entire stack. You’ll take models from initial concept through training, fine-tuning, and RL, deploying them for agentic systems. We’re laser-focused on innovation and adaptability—here, your ideas will shape the next wave of smart, agentic devices.

Requirements

• Degree in CS, EE, Math, Stats, or Physics. (Ph.D. strongly preferred)
• Deeply hands-on with AI model development for agentic systems—your GitHub showcases innovative real-world projects, or you have published technical papers in top conference demonstrating your creative and practical expertise.
• Experience in autonomous agent modeling, RL, adaptive algorithms, and frameworks like RAG, persistent memory, and multi-agent collaboration.
• Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms.
• Problem solver and communicator—ready to connect, share, and lead in a diverse, cross-functional team.
• Strong grasp of optimizing AI on any hardware for strict resource budgets.
• Track record of launching real-world models and AI-powered products that users love.

Responsibilities

• Own the full lifecycle of agentic AI models: architect, train, fine-tune, and optimize it for AI agents
• Work hand-in-hand with hardware, software, and product teams to put advanced, autonomous behaviors into smart agentic systems.
• Prototype with the latest RL and multi-agent paradigms, pushing boundaries and making models work in the real world—even when resources are tight.
• Constantly iterate—tune for speed, reliability, efficiency, and seamless integration with embedded hardware.
• Identify new ways to leverage agentic models across edge and embedded AI, staying ahead of the curve and championing next-gen applications.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree