Sr Staff Agentic Models – Automotive SoC
Renesas Electronics · Dallas, TX
- On site
- Full-time
- $160,000 / year
- Dallas, TX
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Develop AI-first agentic systems for automotive SoCs.
- Lead full lifecycle AI product development.
- Integrate AI for autonomy and adaptability.
- Optimize AI models for performance and power.
- Collaborate with cross-functional teams.
About the role
Sr Staff Agentic Models Engineer – Automotive SoC
Renesas Electronics is seeking a Sr Staff Agentic Models Engineer to join our System-on-Chip (SoC) AI team. This role is ideal for individuals who thrive in a dynamic, startup-like environment, embracing new challenges, trends, and opportunities daily. We are developing AI-first products focused on redefining autonomy and adaptability, creating systems that learn, evolve, and make independent decisions. We are looking for passionate, self-motivated individuals eager to push boundaries, stay ahead of the curve, and rapidly adapt to the latest advancements in AI and embedded technology. If you have a proven background in AI, embedded systems, and product innovation, and excel at transforming groundbreaking ideas into impactful products, join us to shape the future of intelligent devices.
Responsibilities
- Own the complete lifecycle of AI-first agentic systems, from ideation and requirements gathering to architecture, implementation, testing, and launch, leveraging AI throughout the process.
- Collaborate closely with hardware, software, and product teams to integrate AI capabilities that enable agentic behavior—autonomy, continuous learning, and real-time adaptability—directly into smart devices.
- Continuously scout, experiment with, and deploy the latest AI models and algorithms, such as reinforcement learning and multi-agent systems, adopting new technologies daily.
- Optimize AI solutions for high performance, ultra-efficient power consumption, and robust reliability on Renesas SoC platforms, utilizing AI-driven optimization techniques.
Qualifications
- Education: Degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or Physics.
- Demonstrate hands-on experience in AI product development through real-world agentic projects or a public GitHub repository showcasing innovation.
- Possess deep expertise in agentic AI systems, including building autonomous agents, developing reinforcement learning solutions, and deploying adaptive algorithms and cutting-edge technologies like Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures.
- Proficiency in Python and C/C++, with strong experience using leading AI frameworks such as TensorFlow and PyTorch.
- Excellent problem-solving abilities, strong communication skills, and the capacity to inspire teams through leadership.
Preferred Qualifications
- In-depth knowledge of hardware/software co-design, focusing on the integration of code and circuits for advanced products.
- Practical experience in building and optimizing embedded software for resource-constrained devices.
- A demonstrated history of successfully launching impactful AI and embedded products.
Key skills/competency
- Agentic Models
- Automotive SoC
- AI Product Development
- Reinforcement Learning
- Embedded Systems
- Python
- C/C++
- TensorFlow
- PyTorch
- Hardware/Software Co-design
Skills & topics
- AI Engineer
- Agentic Models
- Automotive SoC
- Embedded Systems
- Reinforcement Learning
- Python
- C++
- TensorFlow
- PyTorch
- Renesas Electronics
How to get hired
- Tailor your resume: Highlight AI, embedded systems, and agentic model experience relevant to Renesas' automotive SoC focus.
- Showcase your work: Include a public GitHub with agentic AI projects or artifacts from product development.
- Demonstrate technical skills: Emphasize Python, C/C++, TensorFlow, PyTorch, and experience with RL and RAG.
- Address leadership: Prepare to discuss your problem-solving, communication, and team inspiration capabilities.
- Research Renesas: Understand their mission 'To Make Our Lives Easier' and their role in embedded semiconductors.
Technical preparation
Master agentic AI, RL, and RAG.,Deepen Python, C/C++, TensorFlow, PyTorch.,Practice SoC performance and power tuning.,Explore embedded software optimization techniques.
Behavioral questions
Describe a complex AI problem you solved.,How do you stay ahead of AI trends?,Explain how you'd collaborate with hardware teams.,How do you inspire and lead technical teams?
Frequently asked questions
- What specific AI models and techniques are emphasized for the Sr Staff Agentic Models Engineer role at Renesas?
- The Sr Staff Agentic Models Engineer role at Renesas emphasizes agentic AI systems, including autonomous agents, reinforcement learning solutions, adaptive algorithms, Retrieval-Augmented Generation (RAG), and collaborative multi-agent architectures. Experience with these specific areas is crucial.
- How does Renesas Electronics foster innovation and rapid adoption of new technologies for its AI engineers?
- Renesas fosters innovation by encouraging engineers to scout, experiment with, and deploy the latest AI models and algorithms daily, rather than waiting for traditional development cycles. This startup-style environment allows for rapid adaptation to new tech.
- What is the expected educational background for the Sr Staff Agentic Models Engineer position?
- A degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or Physics is the expected educational background for this role. Practical experience and demonstrated artifacts are also highly valued.
- Can you elaborate on the importance of hardware/software co-design for this role at Renesas?
- Hardware/software co-design is a preferred qualification, emphasizing the seamless integration of code and circuits. This expertise is vital for creating next-level products where performance and efficiency on Renesas SoC platforms are paramount.
- What kind of impact can a Sr Staff Agentic Models Engineer have at Renesas Electronics?
- As a Sr Staff Agentic Models Engineer at Renesas, you can make a significant impact by developing innovative AI-first products that redefine autonomy and adaptability in automotive SoCs, contributing to the company's mission 'To Make Our Lives Easier'.
- What programming languages and AI frameworks are essential for this role?
- Fluency in Python and C/C++ is essential, along with strong experience using top-tier AI frameworks such as TensorFlow and PyTorch. These are critical for developing and deploying advanced AI solutions.
- Does Renesas Electronics offer remote work options for roles like the Sr Staff Agentic Models Engineer?
- Yes, Renesas Electronics offers a flexible and inclusive work environment, including remote work options, to support employee well-being and performance. This is part of their people-first culture.