Artificial Intelligence Jobs in Sunnyvale, CA

As a founding Solutions Engineer, you will lead technical discovery, run POCs, and ensure successful customer integration while collaborating with product and revenue teams.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

The Physical Design Engineer will lead efforts in solving physical design challenges, improve RTL-to-GDS methodologies, and integrate AI/ML solutions into CAD flows, focusing on performance and runtime improvements.

Design and build an AI-driven account management and optimization platform using LLMs and agentic systems. Create diagnosis and recommendation models, ensure reliable long-running services with observability and safeguards, and collaborate with ad delivery and product teams to improve advertiser performance and revenue.

Design, build, fine-tune, and deploy Generative AI solutions using LLMs (Python). Preprocess unstructured data, apply prompt engineering, RAG, and vector DBs, deploy and monitor models/APIs, and collaborate cross-functionally while following engineering best practices.

Lead the AI Evaluation module for Harness, defining vision and strategy, managing P&L, and enhancing AI application validation and performance in production.

Lead AI feature design and delivery, build large-scale ML systems, mentor engineers, and define best practices across the engineering organization.

Designs and oversees development of Intel GPU AI software across the entire stack, ensuring performance, stability, and ease of use, while mentoring technical leaders and aligning technical strategies with organizational goals.

Develop AI compiler solutions, optimize GPU programming, build training pipelines, collaborate on integrating AI policies, and conduct rigorous performance benchmarking.

Own the full enterprise sales cycle for AI solutions: identify and acquire B2B clients, analyze needs, design tailored AI solutions with technical teams, negotiate and close contracts, track delivery, and meet revenue targets while conducting market and competitive analysis to inform strategy.

Build and scale backend infrastructure for Ambient AI in healthcare. Work across real-time clinical documentation, AI-driven billing automation, and clinical intelligence. Ship production systems, collaborate with clinicians and customers, maintain reliability, monitoring, and metrics, and operate across the full software stack.

The Solutions Architect will design and build enterprise AI solutions, aid in adopting NVIDIA AI technologies, and work on deep learning applications for customers across industries.

Develop and optimize high-performance Vision AI systems, pipeline implementations, and collaborative projects, leveraging computer vision and deep learning for real-world applications.

Senior QA Automation Engineer responsible for designing and executing manual and Python-based automated tests for a Network AI platform. Simulate complex multi-vendor network topologies, validate AI/ML correlation engines, WebUI, REST APIs, CLI, syslog processing, NLP pattern recognition, multi-cloud and ITSM integrations, and maintain PyTest-based automation frameworks while reporting and verifying bug fixes across releases.

The role involves architecting and optimizing AI inference systems, developing GPU kernels, and contributing to benchmark methodologies, requiring substantial experience in performance engineering and various programming technologies.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

The Founding AI Engineer will design and build an AI-native compliance platform, handling complex financial data and developing scalable backend services, while establishing processes for enterprise readiness.

Build infrastructure for AI/ML environments, collaborate with teams for improvements, and interact with customers to enhance product features.

Design, develop, and maintain generative AI and cloud-based AI solutions using Microsoft Azure and Power Platform tools. Collaborate with cross-functional teams to gather requirements, build scalable AI applications, deploy and manage models with Azure Machine Learning, test/debug, document designs, and provide training and user support.

Build and prototype state-of-the-art large language models and AI assistants, take services from ideation to production, fine-tune open-source models, use LLM platforms, analyze model statistics and projections, and collaborate cross-functionally in a fast-paced hybrid Palo Alto environment.

Drive product strategy and execution for Cloud Provider and AI Networking segments. Collaborate with teams to define product requirements, assess market opportunities, and develop go-to-market strategies for Tier 1 and Tier 2 customers.

Join the Fury Team as an AI Engineer to develop AI models for autonomous systems, designing architectures and integrating ML for real-time applications.

The AI Researcher will lead research in embodied intelligence for defense systems, focusing on reinforcement learning, vision-language modeling, and building scalable AI models for autonomous applications in real-world environments.