Artificial Intelligence Jobs in Sunnyvale, CA

The Solutions Architect will support customers in deploying GPU-accelerated ML solutions on cloud platforms and provide technical mentorship, enhancing AI inference pipelines, and collaborating with engineering teams to optimize deployments.

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.

As an AI/ML Intern, you will design machine learning algorithms, develop deep neural networks, and work with various sensor technologies, enhancing autonomous robots performance.

The Senior Machine Learning Engineer will design, implement, and maintain machine learning algorithms and systems. Collaborate with teams, manage version control, and integrate AI models into applications, emphasizing speed and regulatory compliance.

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

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.

The Director/Sr Program Manager will oversee the program management of AI acceleration chips, ensuring timely software releases and compliance with safety standards. This role involves collaboration with cross-functional teams and customer advocacy.

The Sales Manager will lead and mentor a team to drive AI marketing solutions, managing sales processes and collaborating with product teams to ensure success.

The role involves identifying collaboration opportunities, evaluating investments in AI and gaming, and planning business incubation strategies.

The Engineering Technologist will lead on-device AI initiatives, manage proof of concept development, and support CTO-level projects, collaborating with various teams and presenting to stakeholders.

Intern will contribute to data science and analytics projects, developing data pipelines, supporting AI/ML use cases, and creating visualizations while gaining real-world experience.

Lead the development of Snowflake's AI Sales Assistant, defining product roadmaps, requirements, and strategies based on user and market research while collaborating with engineering and sales teams.

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

The Business Development Manager will drive sales and partnerships for AI datacenter power solutions, managing the sales cycle and market strategies.

The Senior AI Engineer will design and implement AI-powered features, collaborate with global teams, and ensure end-to-end delivery while leveraging advanced AI techniques and tools.

Lead the strategy and execution of AI-driven shopping experiences, focusing on agentic AI. Collaborate cross-functionally to enhance user experiences and leverage AI technology for business growth.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

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, develop, and implement AI/ML models, manage AI solutions on cloud platforms, and collaborate with teams to optimize models.

The Senior Engineering Manager will lead the AI Assistant project, guiding a team in developing and maintaining innovative user interfaces, ensuring high-quality code, and facilitating user feedback for continuous improvement.

Lead AI initiatives to enhance business growth, manage product roadmaps, and collaborate with cross-functional teams on product development.

The AI Inference Engineer will develop APIs for AI inference, address performance bottlenecks, and implement model optimizations.

Design and develop core backend services and APIs for the Cerebras Inference Platform, ensuring ease-of-use, robustness, and reliable performance for ML workloads.