Top AI & Machine Learning Jobs

The role involves developing ML methods for robotics, focusing on integration with learning-based planning and control under real-world constraints. Responsibilities include benchmarking approaches and contributing to system prototypes.

The role involves developing perception systems for robotics, integrating them with planning and control systems, and evaluating performance under constraints.

The role involves developing real-time control algorithms and safety mechanisms for robotic systems, integrating them with learning-based components, and ensuring system compatibility under strict latency constraints.

The role involves developing control algorithms for complex robots, integrating control with learning components, and ensuring system safety under real-time constraints.

Lead design and deployment of enterprise-scale multi-agent AI systems across the semiconductor lifecycle. Define strategy, architect agentic AI platforms (LLMs, RAG, knowledge graphs), identify automation opportunities, establish AI governance, integrate with EDA and operations systems, mentor technical leaders, and represent the company externally.

Optimize production AI inference on Arm-based edge devices by developing kernel-to-system level implementations, profiling and resolving performance bottlenecks, producing production-quality reference code and documentation, and collaborating with customers and internal teams to influence IP and tooling roadmaps.

Lead strategy and execution for a next-generation AI inference platform: define roadmap, drive inference architecture and orchestration, enable hardware-software co-design, own control plane services and KPIs, and align cross-functional teams to improve latency, throughput, and cost efficiency.