Artificial Intelligence Jobs in Santa Clara, CA

Design and develop scalable backend infrastructure for Fireworks AI's generative AI platform, focusing on reliability, performance, and model quality optimization.

Lead a team developing AI solutions, focusing on technical direction and operational excellence across AI application development while mentoring team members.

Lead the AI strategy and transformation efforts at Palo Alto Networks, driving AI initiatives to enhance sales and marketing, collaborating with cross-functional teams, and delivering impactful business outcomes.

The ServiceNow ITSM Solutions Architect drives conversational AI integration, optimizing the platform for enhanced employee experience and productivity, and manages stakeholder engagement for feature adoption.

Develop and optimize a high-performance inference runtime integrating with PyTorch, collaborating with diverse teams and ensuring code quality.

Design and develop GenAI-powered applications, integrating LLMs and APIs, collaborating on innovative AI-driven user experiences, and managing databases.

In this role, you'll optimize a Generative AI product for enterprise solutions, focusing on scaling and enhancing the conversation engine infrastructure while collaborating across teams.

Develop and maintain scalable APIs and Kubernetes environments for AI solutions, collaborating with teams to ensure robust and secure deployments.

The role involves designing and deploying high-performance enterprise AI frameworks, collaborating with teams in chip design, optimizing algorithms, and maintaining secure data management systems.

Engineer cloud-native backend services for NVIDIA's robotics platform, focusing on Kubernetes orchestration, microservices development, and scalable ML workflows.

Design and implement AI-driven optimizations for software engineering workflows to enhance productivity and improve software release reliability.

Develop tools for AI performance and efficiency, including profiling, debugging, and benchmarking for GPU clusters. Collaborate with various teams to optimize software and hardware solutions.

Conduct performance analysis on AI workloads for large GPUs and CPU clusters focusing on deep learning, networking, and optimization. Collaborate with teams to define performance expectations and test plans.

As a Staff Engineer, lead engineering teams, drive solutions for enterprise-class applications, mentor junior staff, and ensure high-quality product delivery.

This role involves designing AI infrastructure, optimizing data pipelines, and collaborating with AI research teams, focusing on machine learning challenges.

The AI Software Engineer will design, develop, and deploy autonomous AI systems, handling the entire lifecycle of AI products from concept to production in a startup-like environment.

The AI Software Engineer Intern will contribute to building AI products and intelligent agents, implement autonomous systems, and assist in rapid prototyping of AI solutions.

Lead and manage a team of 50, overseeing project execution, performance management, KPI management, and process improvements while collaborating with remote teams.

The Technical Research Associate will support AI data collection and analysis, improve AI performance, and learn new software skills.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Support training and benchmarking of LLMs, evaluate datasets, and assist the Pathway Research Team to advance AI capabilities.

As a Senior Generative AI Engineer, you will lead the development of models for synthetic data generation and enhance the safety and capability of autonomous driving solutions at Zoox.

As a Sr. Staff Software Engineer, you will design and run Databricks' Data Intelligence Platform, develop tooling for large-scale systems, and lead architecture efforts while mentoring engineers.

The Staff Credit AI Scientist will develop AI/ML models for lending products, design data pipelines, and ensure compliance with credit risk regulations while collaborating with cross-functional teams.

Develop cutting-edge AI/ML fraud models, manage model lifecycle, collaborate with cross-functional teams, and ensure model compliance and fairness.