Jobs at REVEL

Develop and maintain REVEL’s brand identity, guidelines, master assets, templates, presentations, signage, event graphics, website assets, print materials, and visual communications. Prepare production-ready files, organize source materials, support colleagues using design systems, and collaborate with marketing, animation, video, and 3D teams. The role requires strong typography, layout, composition, digital and print production skills, independent execution, and clear communication of technical information.

Own full-cycle recruiting for engineering and operations roles, including intake, job advertising, sourcing, screening, interview coordination, offers, and onboarding handoff. Manage high application volumes, maintain accurate Ashby records, build talent pools, support referrals and hiring events, and report funnel performance. The role requires strong communication, autonomy, English fluency, and full-time onsite work in Prague.

Build and deploy computer vision systems enabling humanoid robots to perceive hands, tools, and objects in 3D. Responsibilities include multi-camera calibration, detection, segmentation, pose estimation, dataset and evaluation pipelines, and real-time inference on onboard GPUs. The role collaborates with robot learning and data collection teams, supports junior engineers, and requires hands-on work with real-world camera data in an on-site Prague lab.

Own finance and operational functions for a startup scaling after its seed round. Responsibilities include budgeting, cash flow, runway management, financial reporting, tax filings and compliance, fundraising and investor support, vendor management, legal coordination, and office operations. The role requires building systems, improving processes, and working closely with the founders in an on-site Prague environment.

Create production-ready 3D models of parts, assemblies, and props; support renders and exploded views; deliver clean models for hardware and content under the 3D lead. On-site role with engineering team in the Czech Republic.

Operate humanoid robots for manipulation and everyday task demonstrations, collect and annotate robot training data, prepare teleoperation setups, run experiments, and troubleshoot basic operational issues. Collaborate with robotics and AI engineers to improve data-collection workflows and support embodied AI learning experiments. The role requires hands-on physical work, careful video review, basic robotics understanding, and on-site work in Prague.

Design, operate, and scale physical and computational infrastructure across networks, servers, GPU clusters, storage, backups, and lab systems. Responsibilities include network services, hardware management, Linux troubleshooting, provisioning, monitoring, capacity reporting, recovery planning, vendor coordination, and internal tooling. The role supports engineering, machine learning, content, capture, and robot-testing teams while maintaining reliable, secure, and efficient infrastructure.

On-site robotics hardware intern supporting assembly, bring-up, cabling, testing, and documentation of robot hardware. Maintain bench throughput and assist engineers with hands-on electronics and mechanical tasks to help build and validate robot systems.

On-site robotics software intern to support ROS node development and integration, test software on hardware, and assist locomotion experiments and related testing.

Build capture dashboards, live data-overlay tools, and end-to-end features for data capture. Develop the device-to-training-cluster data pipeline and internal tooling for labeling, search, and QA to manage human-demonstration data at scale.

Develop and evaluate imitation- and reinforcement-learning models from human-demonstration data, build scalable reproducible training and evaluation pipelines, collaborate with RAI, hardware, and data teams, and move research results into production on humanoid robots.

Train and evaluate models on human-demonstration data, build training and evaluation pipelines, and deploy learned policies to physical humanoid robots.

Design, integrate, and validate electronics and mechanical systems for Neural Gambit and REVEL robots. Perform bench bring-up, debugging, validation, and hands-on assembly in Prague and Hradec Kralove engineering shops.

Open general application inviting candidates to introduce themselves, describe relevant work and impact areas, and explain why they want to join Revel. Revel reviews submissions and reaches out when a fitting role opens across engineering, marketing, operations, and other teams.

Perform detailed industrial-design CAD and surfacing for the Neural Gambit and humanoid robot (R1). Create design-for-manufacture geometry, iterate closely with the design lead, and deliver precise, production-ready mechanical details quickly.

Lead a small senior ML team to convert human-demonstration data into robot behavior. Own force-expert and VLA training direction, drive models from research to production on physical robots, and collaborate with engineering to deploy learned policies on hardware.

Support the RAI team with data and training tasks: build datasets, run experiments, develop tooling and evaluation, and quickly learn the engineering stack.

Train and evaluate deep learning models on human-demonstration data, build scalable and reproducible training/evaluation pipelines, collaborate with RAI, hardware and data teams, and move research results into production on physical robots.

Design schematics and perform PCB layout for HD-sEMG analog front-end and carrier boards, define power/sync and high-speed camera buses, specify components and coordinate with EU fabs for bring-up, support firmware and mechanical integration, and validate designs focusing on noise and signal quality.

Design the mechanical platform for the NG sleeve and clip-on hub for all-day wear: mechanical design, material selection for flexible wearable hardware, hands-on prototyping, fit-testing and iterative refinement on real arms.