Job Description
Are you a builder at the frontier of Edge AI/ML, eager to apply your craft to high-impact, real-world problems? Do you thrive in ambiguous spaces where data, silicon, and algorithms intersect? Cirrus Venture Labs (CVL) may be the place for you. CVL is Cirrus Logic's newly formed technology accelerator, chartered to develop disruptive, scalable, and monetizable innovations that solve endemic industry problems. Our vision is to be a globally recognized innovation engine that repeatedly shapes and transforms semiconductor markets. We do so by embedding intelligence directly where signals originate in the physical world, across Voice, Sense, and Control domains, and pioneering ML-augmented signal processing. As a Principal ML Engineer, you will be a hands-on technical leader shaping CVL's machine learning programs. You will drive the development of ML models, frameworks, and prototyping pipelines, spanning data generation, curation, model engineering, and optimization for deployment on Edge and mixed-signal systems. Partnering closely with Innovation Managers, Architects, external ventures, and away-team contributors, you will turn ambitious hypotheses into validated prototypes that can be scaled into new product categories for Cirrus Logic. Responsibilites Prototype Development: Lead rapid prototyping of ML models for edge intelligence across Voice, Sense, and Control domains, tightly integrated with Cirrus Logic's mixed-signal processing strengths. Data & Model Engineering: Build datasets, design model architectures, and optimize performance, efficiency, and interpretability. Explore advanced approaches in ML-augmented signal processing, anomaly detection, and adaptive control. System Integration: Collaborate with silicon, firmware, and systems teams to co-design ML architectures that operate efficiently on constrained hardware and embedded systems, balancing algorithmic