Top Tech Jobs & Startup Jobs

Own integrated execution across AI research, machine learning, data, compute, robotics, hardware, and model delivery. Build research roadmaps, coordinate dependencies and resource capacity, manage handoffs from training through deployment, resolve blockers, surface staffing risks, and establish lightweight execution rhythms. The role requires technical fluency, strong judgment, and the ability to drive progress across teams without direct authority.

Manage Rhoda AI’s social media presence, content calendar, community engagement, and campaigns across X, LinkedIn, and other platforms. Create short-form video, graphics, photography, web content, presentations, newsletters, and event materials. Translate robotics and AI research into accessible content, maintain brand consistency, support launches and employer branding, coordinate agencies and freelancers, and track content performance.

Architect and scale high-throughput infrastructure for billions of multimodal video clips, including storage, indexing, retrieval, observability, workload balancing, versioning, lineage, and dataset exploration tools. Optimize distributed compute and cloud systems for reliability, latency, throughput, and cost. Support VLM integration into data pipelines and collaborate with research and ML systems teams. Staff candidates independently define technical direction and architecture.

Build and maintain software infrastructure for intelligent robots, including onboard networking, communication, telemetry, observability, data collection, cloud uploads, deployment pipelines, debugging tools, and field-testing utilities. Integrate vendor robotic hardware, support hardware bring-up, debug across the full onboard stack, and collaborate with ML, perception, and control engineers to ensure reliable data collection and robot operation.

Develop and optimize inference infrastructure for large video and world models. Profile latency, throughput, and memory; apply quantization, compilation, caching, distillation, and sampling techniques; improve data pipelines and GPU kernels; build performance benchmarking tools; and deliver production-quality infrastructure in collaboration with research and engineering teams.

Lead company-wide recruiting strategy and execution across technical and business functions. Personally drive critical searches, partner with founders and hiring leaders, build and develop an internal talent team, establish scalable recruiting processes, manage systems and analytics, improve hiring quality, and strengthen candidate experience and employer brand.

Own production deployment solutions for robotic AI systems after customer purchase orders. Translate customer requirements into workflows and work-cell designs, conduct feasibility analysis, integrate robots with sensors, conveyors, PLCs, MES, and other plant systems, and lead FAT, commissioning, and SAT. Define requirements, author operating procedures, measure system performance, support customer-site deployment, and provide production feedback to product and engineering teams.

Own end-to-end delivery of customer robotics programs from scoping through proof-of-concept completion. Responsibilities include timeline and resource planning, customer communications, cross-functional coordination, site readiness, logistics, risk mitigation, field feedback, and process improvement across concurrent US and European programs. The role requires technical fluency in robotics and automation, strong project management, executive communication, and willingness to travel domestically and internationally.

Own product requirements and development for robot data collection systems. Lead hands-on prototyping, benchmark cameras and other components, and drive hardware/software integration across sensing, calibration, and synchronization. Track technical issues, validation, schedules, and delivery while collaborating with Research, Data, engineering, manufacturing partners, and global factories. The role requires strong hardware and software adaptability, bilingual Mandarin-English communication, and occasional travel.

Develop software infrastructure for intelligent robots, including networking, communication, data collection, telemetry, observability, deployment tooling, debugging, and teleoperation support. Contribute to robot bring-up and field testing, troubleshoot issues across software layers, and collaborate with perception, control, and machine learning engineers to maintain reliable onboard systems and high-quality training data.