GPU Jobs in California

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Senior Staff AI Engineer - LLM inference optimization

Yoh - A Day & Zimmerman Company

Remote or San Jose, California, USA

Full-time

Senior Staff AI Engineer LLM inference optimization Roles and Responsibilities: Design and architect technical solutions to deliver foundational AIOS capabilities within SkyOS across ECU domains in electric vehicles (EVs).Lead the development of proof-of-concept projects to evaluate architectural designs for functionality, performance, security, and reliability.Collaborate closely with engineering teams to understand real-world development constraints and ensure high-quality implementation, val

Senior Full Stack Developer with Voice AI Infrastructure (Google Cloud Platform, Azure & AWS)

Xoriant Corporation

Remote

Contract

Senior Full Stack Developer Voice AI Infrastructure (Google Cloud Platform, Azure & AWS) Contract to hire Location: Remote Team: Core Engineering Conversational AI Platforms Reports to: Co-Founder & CTO What You ll Own Custom API & Platform Integration: Your primary focus will be designing, building, and maintaining robust, scalable API integrations. You will connect the Convrz AI platform with a diverse ecosystem of third-party services and enterprise client systems (e.g., CRMs, EHRs, booki

Senior Machine Learning Engineer

Alpha Business Solutions LLC

Remote or Chicago, Illinois, USA

Contract

Our direct client a global American hospitality chain is seeking to hire for the role of Sr. Machine Learning Engineer. Job Title: Sr. Machine Learning Engineer. Duration: 6 months plus | possible long-term. Location: Chicago IL 60606 (Hybrid 2 days/week) | Open to 100% Remote Pay rate: $90/HR - $105/HR (negotiable) The Opportunity Seeks an experienced Machine Learning Engineer contractor to build algorithmic assets across Personalization, Generative AI, Forecasting, and Decision Science doma

Staff Software Engineer - AI Platform (Michelangelo)

Uber Corporate

San Francisco, California, USA

Full-time

About the Role Partners with stakeholders and leads team efforts to build and maintain Machine Learning backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber. What the Candidate Will Do 1. Design and build tools to empower production teams to innovate and productionize state-of-the-art deep learning models at Uber. 2. Develop and maintain scalable, end-to-end deep learning training systems and frameworks. 3