Artificial Intelligence Jobs in Visalia, CA

Join a team developing advanced AI solutions for healthcare by optimizing speech recognition models, enhancing inference infrastructure, and contributing to open source projects.

Lead development of AI-powered features in Datadog Notebooks, collaborating with product management and mentoring engineers while overseeing system architecture from inception to delivery.

Lead GenAI/ML projects from concept to production, mentor engineers, influence product direction, and establish technical excellence in AI-driven workflows.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

This role involves managing developer relations for a CSP, focusing on AI and GPU acceleration while building partnerships and ensuring successful application integration.

Lead a team in defining and building NVIDIA's self-driving software. Manage technical product and program execution for autonomous vehicle projects.

Lead and grow customer relationships with enterprise clients, drive sales growth, engage with decision makers, and provide exceptional customer experiences.

NVIDIA seeks a Senior Software Architect specializing in AI and HPC, responsible for developing and enhancing middleware, communication protocols, and runtime designs for high-performance computing systems.

The role involves advancing compiler technologies and machine learning solutions, requiring extensive experience in software engineering, compiler design, and various ML technologies.

The Solutions Architect will assist customers in using NVIDIA's AI technology, develop solutions for AI storage and networking, and train technologists.

The Solutions Architect will support customers in building solutions using NVIDIA's AI technology, developing enterprise solutions, and creating product demonstrations. They will collaborate with OEM partners and serve as a technical authority on NVIDIA products while requiring excellent interpersonal skills to communicate complex topics.

Lead innovative design initiatives targeting enterprise AI projects, mentoring other designers and promoting user-centered design to deliver impactful solutions.

The Product Marketing Manager will drive the marketing strategy and adoption of the Holoscan platform, creating compelling content and collaborating across teams while gathering industry feedback.

Lead research on responsible AI and develop ML models with a focus on safety and reliability, collaborating with global teams and stakeholders.

The role involves developing ML models, leading research projects globally, and reviewing AI/ML literature to enhance techniques and methodologies.

Design and implement efficient inference systems for generative AI models, optimize performance benchmarks, and collaborate with engineering teams to translate research into robust, high-quality systems.

The role involves improving the safety and inclusivity of LLMs, developing datasets/models, implementing techniques for bias detection, and collaborating with teams to ensure responsible AI use.

The role involves developing technical content, engaging with engineering teams, conducting competitive analysis, and leading go-to-market execution for AI inference products.

Lead requirements analysis, design full-stack systems with agentic AI, develop cloud-native services, mentor teams, and integrate AI-driven components.

Develop datasets and models for Content Safety and ML Fairness, implement bias detection techniques, collaborate on solutions for safety challenges in LLMs.

This role involves overseeing data architecture strategies, streamlining data tools, leading scalable data ecosystem designs, and ensuring compliance with architectural standards.

NVIDIA seeks an engineer to develop and optimize algorithms for AI workloads using the Megatron Core and NeMo Framework, focusing on large language models. Responsibilities include performance tuning, model training, and contributing to open-source projects.

The Senior Solutions Architect will enhance customer AI workloads, develop solutions, lead technical engagements, and collaborate with teams on innovative AI applications.

Lead the deployment of innovative AI solutions, guiding customer discussions and analyzing performance issues in data center AI infrastructure.

Responsible for designing and maintaining cloud infrastructure with a focus on Kubernetes, building teams for release management, and ensuring application security and cost optimization.