Top Artificial Intelligence Jobs

The Lead AI Engineer will build LLM-powered features, optimize AI infrastructure, and lead the execution of AI projects. Responsibilities include designing pipelines, evaluating models, and collaborating with product teams.

The Principal Product Designer will define AI-native product design, lead design for core experiences, and partner with founders and engineering teams.

The Frontend Systems Architect will lead frontend architecture, optimize performance, mentor engineers, and drive product technical direction while ensuring quality and stability in large-scale web applications.

The intern will assist with project coordination, support communications, organize tasks and timelines, conduct research, and collaborate on startup initiatives.

Lead design and global execution of HR programs (job architecture, performance reviews, engagement, rewards). Drive change management and stakeholder alignment, build dashboards and HRIS integrations, and manage end-to-end project governance to scale talent processes.

The Senior Data Scientist will analyze product data, design A/B tests, define KPIs, and collaborate with teams to improve product performance and user experience.

Lead design, build, and global rollout of talent programs (job architecture, performance reviews, engagement surveys). Drive change management, stakeholder alignment, HRIS optimization, and data-driven dashboards to measure program impact. Manage end-to-end project governance and adoption across global teams.

The Electrical Engineer will design electrical systems, support rapid prototyping, collaborate in cross-functional teams, and ensure system precision through testing and troubleshooting.

The Technical Program Manager will lead AI data generation projects, ensuring consistent quality and efficient execution while communicating across teams.

Design and debug automotive electronic systems including power supplies, audio, microprocessor systems, video and high-speed serial interfaces. Perform part selection, schematic capture, PCB layout, and testing. Software programming experience is a plus.

As a Marketing Intern, you'll create social content, run growth experiments, analyze data, and build community events while collaborating with various teams.

As a Senior Solutions Engineer, you will engage in pre-sales conversations, design architecture, and deliver demos to help customers integrate LanceDB's AI solutions.

As a Senior Support Engineer, you will enhance customer support for LanceDB by building infrastructure, maintaining knowledge-bases, troubleshooting customer issues, and collaborating with engineering teams. Your expertise in distributed databases and proficiency in Rust and Python will help optimize cloud-native database deployments.

Seeking an experienced Frontend Engineer to enhance user experience for multimodal data management applications. Responsibilities include optimizing user interfaces, collaborating with designers, and building scalable backends.

The Staff DFT Engineer will lead DFT implementation, ensuring scan quality and coverage closure for complex SoC designs, while collaborating closely with RTL and Physical Design teams.

The Photonics Technical Lead will create scalable laser solutions for silicon photonics AI communications, collaborating across teams to ensure design feasibility and meet performance specifications.

The Staff Electrical Test Engineer will develop and implement ATE test solutions for Silicon Photonics products, support manufacturing testing, collaborate with teams to debug failures, and enhance testing productivity with scripting.

Lead vehicle Bill of Materials cost estimating and should-cost modeling. Maintain vehicle development cost database, create detailed component/system cost estimates, drive value engineering, identify cost reduction opportunities, and collaborate with cross-functional engineering teams to optimize component design for cost and program volumes.

The Software Engineer will enhance driving behavior algorithms, collaborate cross-functionally on strategies to mitigate system failures, and implement scalable solutions in code, aiming for seamless integration with the driving stack.

Contribute to algorithmic advancements in driving behavior, ensuring effective robot operation even during failures. Collaborate cross-functionally to develop robust solutions.