Jobs at Rapsodo Sports (Rapsodo, Inc.)

Supports international marketing campaigns across digital, social, email, offline, events, partnerships, and community initiatives. Coordinates timelines, assets, vendors, stakeholders, and campaign localization while assisting with content creation, creative briefs, event logistics, reporting, competitor research, and marketing operations. Collaborates with global marketing, sales, and product teams to execute initiatives and strengthen regional market presence.

Supports international marketing initiatives across e-commerce, paid advertising, social media, email campaigns, content localization, and performance reporting. The intern will coordinate with global stakeholders, assist Japanese-market activities, and contribute to partnerships, media collaborations, and other marketing projects.

Provides bilingual Japanese and English technical customer support across email, phone, chat, and ticketing channels. Diagnoses hardware, software, and connectivity issues, manages cases through resolution, escalates complex problems, and coordinates with internal teams. The role also improves support processes, knowledge bases, workflows, and training materials while supporting Japan market operations.

Designs production-ready mechanical products for manufacturability, assembly, performance, reliability, and compliance. Translates customer needs into engineering specifications, conducts design studies, validates products through empirical testing and analytical models, manages technical risks, and collaborates with global cross-functional teams throughout the product lifecycle.

Support R&D by conducting ongoing technology and competitor research, tracking developer community conversations and technical events, synthesizing findings into concise reports and presentations, maintaining an organized intelligence repository, and using AI tools to accelerate research for engineering leadership.

Develop and optimize time-critical C/C++ firmware for ARM Cortex-A systems, build peripheral drivers (I2C, SPI, GPIO, ADC, timers), work with U-Boot and RTOS, support product evolution and SoC bring-up, and collaborate with hardware and software teams to ensure low-latency, reliable embedded systems.

Develop and integrate device software across Linux BSP, drivers, middleware, and C++ applications. Debug and optimize multi-threaded, low-latency systems. Work cross-functionally with hardware, firmware, and algorithm teams to deliver reliable, production-ready embedded features with strong focus on accuracy and real-world performance.

Translate product direction into actionable requirements, maintain backlog, and coordinate cross-functional engineering and QA teams for hardware-software products. Anticipate integration dependencies, track progress and risks, define validation criteria, support field testing, and document release readiness to ensure timely, high-quality launches.

Design, implement, and optimize computer vision algorithms (3D vision, calibration, classification, segmentation). Apply advanced math and statistics, use OpenCV, write performant C/C++ (with Python), design APIs and integrate solutions across teams for scalable real-world sports applications.

Join the hardware/firmware R&D team to prototype, test, and iterate sports products. Tasks include PCB design in Mentor PADS, board-level repair and troubleshooting with multimeter and oscilloscope, evaluating component EOL, soldering, and supporting product development from concept to production.

Open general application for Rapsodo, a sports analytics company using computer vision and machine learning. Seeking driven team players passionate about sports and technology to contribute to state-of-the-art analytics solutions and growth across product teams. Applicants encouraged to apply to join a fast-paced, innovative company partnered with major sports organizations.

Lead full hardware development lifecycle from concept to production: schematic capture, PCB layout, component selection, validation, and system-level debugging. Optimize measurement accuracy, signal integrity, and reliability; collaborate with firmware, mechanical, manufacturing, and algorithm teams; ensure regulatory compliance and production readiness.

Design and maintain Unity architecture: assess feature feasibility and risks, produce technical specifications and ADRs, lead architecture decisions, manage cross-team dependencies, document systems, improve tooling/patterns, and ensure long-term code quality for hardware-integrated applications.

Support data annotation and labeling, implement 3D blending/stitching, assist model training and hyperparameter tuning, implement camera calibration and image-processing algorithms, test vision modules/APIs, and document data workflows and experiments.

Develop and maintain high-performance Android and cross-platform mobile apps using Kotlin and KMP. Implement MVVM architecture, Jetpack Compose UIs, Coroutines, and Jetpack libraries. Improve app architecture, performance, and reliability; troubleshoot networking, concurrency, and memory issues; collaborate with product, design, backend, and QA; and contribute to continuous improvement of mobile engineering practices.

Design and evolve scalable, secure cloud-native software architectures; define standards, API specifications, and best practices; collaborate with cross-functional teams to translate business needs into technical solutions; lead architecture and code reviews, mentor engineers, evaluate modern technologies, and contribute hands-on to the codebase for optimization and refactoring.

Lead platform architecture across backend, frontend, and mobile; define standards, APIs, and ownership; modernize legacy systems to modular/cloud-native architectures; mentor engineers and contribute hands-on to coding, refactoring, and technical validation.

Lead end-to-end delivery of software products, coordinating engineering and product teams, removing blockers, managing priorities, and communicating status to stakeholders. Use AI tools to support planning, documentation, risk analysis, and productivity while driving continuous improvement of workflows and development practices.

Design, train, evaluate, and deploy deep learning models (detection, segmentation, keypoint, tracking). Build data collection/labeling pipelines and synthetic datasets with Blender. Create reproducible MLOps pipelines, optimize models for embedded hardware, define benchmarks and automated tests, and collaborate cross-functionally to deliver production-ready computer vision solutions.