Artificial Intelligence Jobs in Fremont, CA

Responsible for designing, developing, and maintaining NVIDIA Models and Inference API integrations into open-source inference libraries and frameworks, mentoring junior engineers, and collaborating with multiple upstream projects.

The Senior Engineer will innovate and develop AI/ML solutions using Java to enhance customer experiences and exceed expectations.

The Senior Engineer will work on Java and AI/ML projects, driving innovative solutions to enhance customer experiences and operational efficiency.

Develop and optimize infrastructure software for large-scale AI systems, ensuring efficiency, resiliency, and reliability of AI training and inferencing.

The Product Manager will lead the development of GPU-focused AI inference products, collaborating with engineers and open-source communities to enhance kernel and communication libraries.

The Sales Engineer role involves assisting the sales team by providing technical expertise, building solutions, and addressing customer challenges with Nanonets' AI/ML product.

The role involves managing training infrastructure, implementing distributed training algorithms, and collaborating with AI researchers on model training.

The Senior Software Engineer will innovate in AI, lead software development lifecycle, design microservices, mentor peers, and ensure engineering excellence.

The Senior Manager, AI Observatory Product Manager leads the AI Observatory product development, ensuring compliance, managing AI systems, and collaborating across teams.

Lead software engineer in Generative AI, developing infrastructure for AI applications, collaborating across teams, and mentoring junior members.

Manage Gen AI solutions for Fortune 500 clients by defining business challenges, leading cross-functional teams, and deploying innovative AI applications.

As an AI Extern, you will analyze large data sets, optimize language models, collaborate on machine learning strategies, and enhance product functionality.

The AI Solution Manager role involves leading AI solution deployment, customer engagement, and cross-functional teams to develop and deliver tailored AI applications for Fortune 500 clients.

Design, develop, and maintain AI/ML platform infrastructure ensuring scalability and reliability. Collaborate across teams, drive technical direction, and own components.

Develop and train advanced generative models for synthetic data generation to enhance Zoox's autonomous driving capabilities. Collaborate across teams and validate models using real-world scenarios.

The AI Context Manager will lead a team to ensure quality and scalability of AI-generated context, bridging security and AI research while overseeing processes and collaborating with stakeholders.

Join NIO as an AI Researcher focusing on LLM/VLM research, model optimization, and system integration for smart electric vehicles. Collaborate across teams to enhance performance and scalability of AI systems.

The Senior Engineer, Applied AI will enhance AI systems for task automation, model testing, and fine-tuning while collaborating with teams to integrate AI capabilities.

Design and analyze circuits for AI silicon, focusing on circuit design, power simulations, and optimizing performance.

Lead the roadmap and execution of AI cluster management software, focusing on security and observability. Collaborate with engineering teams and understand cluster operator needs through research.

As an AI Research Engineer, you will develop and implement machine learning algorithms, prototype solutions, conduct experiments, and transition research into production systems.

Lead and mentor on large-scale HPC systems, develop GPU-accelerated solutions, support researchers, and optimize performance for AI workloads.

The role involves enhancing AI/ML infrastructure for efficiency, collaborating with teams to address deficiencies, and optimizing resources.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

The role involves designing and implementing AI solutions, collaborating with customers and teams, and managing enterprise software integration, requiring advanced technical knowledge and communication skills.