Top Tech Jobs & Startup Jobs

Work with founders and the founding team to build AI-powered internal tools and automations, run GTM and community activities, and manage daily operations. Own content, events, scheduling, vendor logistics, and process design while using AI tools to automate and ship solutions.

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.

Founding product engineer building end-to-end frontend and backend features for AI-native filmmaking tools. Rapidly prototype creative workflows, define UX and product direction with founders, translate ambiguous ideas into polished, high-quality user experiences, and help shape the future of AI creative tools.

Founding front-end engineer to design and build Flick's editor UI (canvas, timeline, node graph, playback). Lead architecture, prototype creative workflows, optimize complex UX interactions, establish code quality and performance practices, collaborate with design/product/AI backend, and drive key technical and product decisions.

Lead architecture and development of core robotics platform software (Intel and NVIDIA Jetson). Ensure Linux-based system performance, real-time behavior, deployment, telemetry, DDS configuration, and OS/hypervisor integration. Mentor engineers, guide roadmap and conduct rigorous code reviews to maintain high software quality and scalability.

Design, develop, and refine mechanical systems and components for industrial AI robots. Collaborate with cross-functional teams to integrate mechanical, electrical, and software components. Perform feasibility studies, simulations, prototype fabrication, testing, and validation. Create engineering drawings, specifications, and manufacturing documentation. Work with vendors and lead projects from concept to production while meeting performance, reliability, and safety standards.

Develop and deploy foundation and world models (vision-language(-action), multimodal, action-conditioned) for robotic perception, prediction, planning, and high-precision control. Integrate multimodal data, train models for long-horizon planning and simulation, and optimize production-grade models for deployment on RoboForce robotic platforms.

Lead creation of an internal AI-native OS: build agents, automations, workflows, playbooks, and tooling. Identify high-leverage AI opportunities, drive cross-functional adoption, set usage standards, partner on infrastructure, and convert ambiguous priorities into executable systems. On-site role enabling rapid iteration and company-wide AI enablement.

Build and maintain an agentic platform that transforms high-stakes medical and legal casework into structured context. Work across the full stack: agent architectures, eval frameworks, data ingestion/indexing, and user-facing tooling. Ship workflows, design reliability-focused evals and guardrails, iterate with user feedback, and set patterns for AI-native development in a healthcare context.

Lead development of the local mobility and safety stack: build high-performance C++ pipelines that consume AI costmaps, architect real-time optimization-based local planners (MPC/MPPI), enforce center-of-mass and traction constraints, implement deterministic safety fallbacks, and interface planned trajectories with Whole-Body Control for field-deployed humanoid robots.