Shape the future of intelligent embedded systems by leading the design and deployment of AI-first, autonomous technologies on System-on-Chip platforms. You'll drive innovation from concept through launch, applying AI at every stage—from ideation to optimization—while minimizing reliance on manual intervention.
What You’ll Do
- Lead end-to-end development of agentic systems, using AI to accelerate prototyping, testing, and deployment—only involving human input when absolutely necessary.
- Collaborate closely with cross-functional teams to integrate advanced AI capabilities such as continuous learning, real-time decision-making, and multi-agent coordination directly into smart devices.
- Experiment with and implement cutting-edge AI methods including reinforcement learning, Retrieval-Augmented Generation (RAG), and persistent memory systems, staying ahead of rapid technological shifts.
- Optimize AI models for performance, power efficiency, and reliability on embedded platforms, leveraging AI-driven tools to fine-tune system behavior.
What We’re Looking For
- Degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or Physics.
- Proven experience building and shipping AI-powered products, with a portfolio or public code repository demonstrating hands-on work in autonomous systems.
- Strong technical foundation in Python and C/C++, with extensive experience in TensorFlow, PyTorch, and modern AI frameworks.
- Expertise in reinforcement learning, multi-agent architectures, and adaptive algorithms that enable intelligent, self-sustaining behavior.
- Exceptional problem-solving skills, clear communication, and the ability to lead technical initiatives with confidence.
Preferred Background
- Experience in hardware-software co-design, particularly in optimizing embedded systems for constrained environments.
- Track record of delivering commercial AI or embedded products that operate efficiently under strict power and memory limits.
Work Environment
This role operates in a hybrid model, with designated in-office days from Tuesday to Thursday to support collaboration and innovation. Employees may work remotely two days per week. The culture emphasizes inclusivity, continuous learning, and sustainability, with Employee Resource Groups fostering belonging across teams.
AI is transforming how devices think and act. Help build systems that learn, adapt, and operate with increasing independence—right at the edge.
