Top AI Research Jobs in Austin, TX

Support consulting engagements and research across the semiconductor and AI stack by performing technical analysis, cross-stack research, analytical modeling, and preparing client-facing reports, presentations, and briefings. Track industry trends, evaluate hardware and AI model developments, and collaborate with senior consultants to translate technical insights into strategic recommendations.

Lead forward-looking research on robot learning, hardware, supply chains, and commercialization. Produce reports, forecasts, and briefings; track mobile manipulators, quadrupeds, cobots, and autonomous vehicles; assess AI, edge compute, and simulation impacts; collaborate with cross-sector analysts; support investors, OEMs, and policy stakeholders; and present findings to senior executives and clients.

The AI Scientist will develop AI algorithms to enhance radiology, improve patient diagnostic accuracy, and collaborate within a multidisciplinary team.

Lead product marketing and demand generation for AI Simulation offerings: craft positioning and messaging, produce campaign and sales enablement assets, plan product launches, run outbound and nurture programs, and translate complex technical science into buyer-facing value to drive awareness and pipeline.

The role involves supporting strategy and operations across R&D, product, and commercial domains, focusing on alignment, execution, and visibility for diverse initiatives in precision medicine.

Lead AIR's AI Century Study by shaping strategy, guiding interdisciplinary research, managing longitudinal data collection and governance, cultivating cross-sector partnerships, translating findings for policy and public audiences, and supervising a multidisciplinary team to ensure rigorous, ethical, and influential long-term research.

Lead data-driven strategy by partnering with senior executives, design and deliver sophisticated analytical solutions on large-scale data, build trusted cross-functional relationships, and mentor data scientists to raise analytical quality across the organization.

Conduct research to evaluate and improve forecasting and agentic LLM web research. Formulate open problems, devise innovative solutions, build evaluations, benchmarks, and datasets, publish findings, and collaborate with frontier labs to improve AI epistemics and decision-making.

Design original Olympiad-level math problems, evaluate AI-generated solutions for correctness and rigor, and produce clear, high-quality reference solutions and reviews to improve AI mathematical reasoning.

Lead and conduct original research in embodied AI for autonomous systems, developing and evaluating large-scale perception, decision-making, and control models. Translate research into deployed prototypes, collaborate with engineering and field teams, support field tests and data collection, and define research strategy across reinforcement learning, vision-language-action, sim-to-real, memory, and multi-agent coordination.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.