3 senior engineering manager jobs found in San Francisco, CA

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. Role Summary The Manager, AI & Emerging Technology Risk is a client-facing consulting leader who combines AI engineering and solution architecture with deep understanding of Risk functions (e.g., operational risk, model risk management, compliance, fraud/financial crime, credit risk, and enterprise governance). The role leads engagements to design, develop, and deploy production-grade AI/GenAI solutions that are secure, auditable, and aligned to regulatory...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the automotive and aerospace sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a controls systems / electrical engineering background and having delivered business use cases in Supply Chain / Manufacturing / Customer Growth. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the mobility and manufacturing sector, where the...

Summary: We are seeking Research Engineers to serve as technical pillars within the Surreal Team. In this role, you will move beyond algorithm implementation to architecting the systems that power always-on contextual AI. This position sits at the intersection of Computer Vision, Embodied AI, and Multimodal LLMs. You will drive the engineering efforts to bring research breakthroughs from high-compute clusters to power-constrained, egocentric devices like smart glasses and robotic platforms. Required Skills: Research Engineer - Perception and Machine Learning Responsibilities: Algorithm & System Implementation: Translate cutting-edge research in Vision-Language Models (VLMs), Reinforcement Learning, and Multimodal LLMs into performant, real-world applications on smart glasses and robotic platforms End-to-End Ownership: Own the full lifecycle of feature development, from initial prototyping and data collection to deployment and system integration...