Top Tech Jobs & Startup Jobs

Lead full-stack development of user-centric web-based 3D graphics tools and backend generative AI services. Own features end-to-end, collaborate with research and design partners, ship responsive web apps, and iterate with early testers.

Build production-grade backend services and pipelines to turn 3D/ML research prototypes into reliable, debuggable features. Work across Python-based graphics/ML algorithms, FastAPI services, asset import/export integrations with DCC tools, and collaborate with frontend and research teams to ship reproducible, user-facing 3D workflows.

Design, implement, and optimize modern SLAM systems (visual, visual-inertial, lidar, multi-sensor). Build state estimation, sensor fusion, map management, loop closure, and benchmarking frameworks. Research hybrid learning-based SLAM, analyze failure modes, and productionize real-time, scalable mapping for downstream world-modeling applications.

Design, implement, and train large-scale diffusion models for generating 3D worlds. Drive end-to-end model development including data curation, experimentation, evaluation, deployment, and collaboration with research, engineering, and product teams. Mentor colleagues and integrate cutting-edge generative AI research into production-ready systems.

Lead technical vision and execution for 3D modeling and reconstruction, design state-of-the-art systems, mentor a small research/engineering team, drive end-to-end prototypes to production, and align capabilities with product needs while representing work externally.

Develop and productionize robot learning systems and end-to-end policies for manipulation and locomotion. Build scalable training and evaluation pipelines emphasizing sim-to-real transfer, robustness, inference latency, and data efficiency. Collaborate with simulation, infrastructure, and systems teams, diagnose failures in sim and real-world rollouts, and drive research-to-production deployments.

Lead commercialization of World Labs' robotics and Physical AI technology: identify high-value use cases, run customer discovery, shape pilots, close complex B2B deals, and build early commercial operations and processes while partnering tightly with research and engineering.

Provide high-trust executive support to the CEO, managing calendar, travel, meetings, inbox triage, and personal assistance. Build operating systems for priorities, capture decisions, drive follow-through, coordinate with Stanford and internal teams, and anticipate needs in a fast-paced AI startup environment.

The Research Platform Engineer will design and build critical infrastructure for AI research, optimize performance, and improve developer experience while collaborating with researchers.