Artificial Intelligence Jobs in San Jose, CA

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

The Director of AI Product Management at WatchGuard will drive the strategy and execution of an AI-powered action layer, manage the product roadmap, collaborate cross-functionally, and ensure value delivery to MSP partners.

The AI Research Scientist will develop and evaluate generative models for scientific data, collaborate with teams to apply AI in materials science, and mentor junior members while staying current in the field.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The AI Engineer will design and develop intelligent agents utilizing LLMs and orchestration frameworks, working on scalable AI systems and ensuring data quality.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

Design and implement test automation for instrument software, data pipelines, cloud analytics, and AI/ML outputs. Build data validation frameworks, schema and pipeline checks, integrate tests into CI/CD, validate ELN/LIMS interoperability, ensure traceability and regulatory Quality System compliance, and contribute to test solution architecture and orchestration.

The Senior Director of AI Technical Programs leads AI initiatives for Process Support Engineers, ensuring effective tool integration and knowledge access. Responsibilities include managing technical programs, stakeholder alignment, AI solution development, and team leadership for improved operational efficiency.

The AI Research Scientist will develop generative models for scientific discovery, mentor junior team members, and work collaboratively to innovate AI applications in materials science.

Design, architect, and scale cloud backend infrastructure for real-time media and sensor data streaming. Own reliability and throughput SLAs, collaborate with AI teams, and mentor engineers.

Develop and optimize the Android application for Figure's humanoid robots, focusing on real-time data processing, AI inference, and low-latency communication.

The role involves developing cloud-native applications, defining cloud architecture, building data engineering pipelines, and ensuring security practices across AI/ML solutions and big data integrations.

You will design and implement high-performance software while applying machine learning techniques to complex problems in electronic design automation.

The role involves developing partnerships with ISVs delivering AgentOps services, managing technical engagement, and collaborating with teams for product integration and strategy.

The Senior Product Manager will lead AI product strategies for local deployment on NVIDIA platforms, focusing on developers and enterprise needs.

Lead strategic AI platform initiatives, define product vision, drive clarity in cross-functional engagements, and improve developer productivity by delivering AI-powered capabilities.

Lead a data science team to design, build, and deploy large-scale, real-time AI/ML solutions (forecasting, diagnostics, LLM chatbot, retention models, optimization) to optimize GPU cloud gaming performance and user experience.

The Developer Relations Manager will engage with partners in Conversational and Generative Media, enhance adoption of NVIDIA's AI technologies, provide technical guidance, and drive co-innovation efforts.

The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.

As a Developer Relations Manager, you'll build relationships with partners, support developers, provide technical guidance, and drive AI product adoption.

Lead development of AI-driven solutions for timing and constraint analysis in EDA, integrating data sources and creating autonomous analysis agents.

The AI Platform Engineer will architect and maintain AI infrastructure, drive cross-org initiatives, and mentor teams to adopt AI-first engineering practices.

Lead strategic engagement with AI platform and tools ecosystem, enhance partner product direction, technical onboarding, and ecosystem growth with NVIDIA's technology.