Design, develop, and optimize high-performance software for multi-degree-of-freedom robotic systems. Lead CI/CD, code reviews, cross-functional collaboration, mentoring, and performance profiling to deploy production robots.

Develop and optimize real-time motion planning algorithms for a high-DOF mobile manipulator, integrate planning with perception and control, evaluate modern techniques, make architectural decisions, maintain high software standards, and mentor junior engineers.

Flexible generalist role for candidates excited about building AI-driven world simulations. Primarily seeking technical hires with adaptable engineering backgrounds. Exceptions possible for exceptional non-technical candidates. Role is on-site in San Mateo.

Develop and deploy real-time 3D perception algorithms (object detection, pose estimation, scene reconstruction) using RGB-D and LiDAR. Build perception pipelines combining geometric and data-driven methods, ensure efficient runtime on industrial PCs, and collaborate with planning, manipulation, and system teams. Support data collection, labeling, evaluation, and model training for warehouse robotics.

Own and ship end-to-end, user-facing features across frontend and backend. Design scalable architectures, APIs, async pipelines, and AI inference workflows. Build data models, mentor engineers, and collaborate with founders, design, and product to deliver polished React/Next.js experiences at scale.

Own end-to-end product features from concept through production. Design scalable backends, APIs, async and AI inference workflows; build high-quality React/Next.js frontends; design data models (SQL and NoSQL); mentor engineers; and collaborate with product and design to deliver user-focused AI-powered experiences.

Lead product analytics end-to-end: own event taxonomy and instrumentation quality, analyze funnels/retention/cohorts, design A/B tests, build dashboards, and translate insights into product decisions to drive user growth and monetization.

Own end-to-end UX for OpenArt: design user journeys, interaction flows, wireframes, prototypes, and high-fidelity UI. Partner with product, engineering, and research to translate user insights into robust, scalable design systems for AI-powered creative tools.

Design and implement agentic AI systems, ship full-stack features, construct ML pipelines (ingestion, embeddings, RAG, vector search, graph DB), evaluate and improve LLM agent reasoning, prototype LLMs, and build scalable infrastructure for long-running multi-step agents while working directly with customers and leadership.