Jobs at Rhoda AI

Conduct project-specific research and engineering for generalist intelligent robots. Work may involve video-based robot policy learning, multimodal and vision-language models, simulation, SLAM, navigation, and robotics systems. Interns will train and debug large models, write production-quality research software, collaborate with mentors, and contribute to ongoing research projects in a fast-moving startup environment.

Own software quality for robotic systems, cloud services, and AI models by creating test plans, executing release qualification, and approving production readiness. Develop automated tests and test tools, investigate defects, analyze logs, track quality metrics, and drive root-cause resolution. The role requires strong Python and C++ programming, Linux debugging, and experience with complex software products. Robotics, AI/ML, hardware-in-the-loop, simulation, and regulated-environment testing are preferred.

Design and run experiments to evaluate optical sensors on robots in challenging real-world conditions. Analyze failures involving light, reflectance, heat, multipath, and dynamic range; tune sensor settings using SDKs and firmware; process images and point clouds with Python; reproduce field scenarios; and communicate recommendations to perception and hardware engineers.

Owns end-to-end program execution for software and controls across robotics autonomy, perception, firmware, and real-time systems. Leads planning, release tracking, dependency management, risk mitigation, architecture reviews, and cross-functional coordination with hardware and product teams. Maintains program plans, milestones, critical paths, and delivery processes from early development through field-ready software. Requires strong technical expertise in software, robotics, controls, or systems engineering.

Own operational readiness and process rollout for industrial hardware programs from prototype through high-volume production. Coordinate suppliers, ramp planning, manufacturing readiness, certification, compliance, quality, and commercial launch handoffs. Track yield, throughput, and production targets while managing supply chain risks, factory capacity, supplier scorecards, production readiness reviews, and scalable process controls. Partner across engineering, supply chain, operations, certification, and commercial teams to deliver hardware on schedule.

Optimize multimodal foundation-model inference across AMD GPUs, TPUs, embedded Jetson hardware, consumer GPUs, and specialized accelerators. Responsibilities include kernel tuning, compilation, quantization, pruning, distillation, model parallelism, benchmarking, regression detection, numerical validation, and hardware cost-performance analysis. The role also supports real-time on-robot inference, hardware selection, and collaboration with research, robotics, and infrastructure teams.

Own the full lifecycle of robot Class-A cladding surfaces from concept through mass production. Design thin-walled components, manage tolerances and interfaces, develop CAD models and drawings, coordinate prototypes and validation, interpret FEA and Moldflow results, and partner with suppliers and cross-functional teams. The role emphasizes robust attachment strategies, manufacturability, material selection, craftsmanship, and reliability across polymers, textiles, and composites.

Develops safety-critical features and architectures for humanoid robots, including collision avoidance, stopping, diagnostics, fail-safe strategies, and motor control. Derives and verifies safety requirements through analysis, experimentation, instrumentation, and fault injection. Leads requirements from inception through implementation and verification, supports system integration, and collaborates across mechanical, electrical, software, and applications teams through mass production and safety certification.

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.

Design user experiences and interfaces for operating, monitoring, and interacting with deployed robots. Create fleet dashboards, user journeys, wireframes, interaction designs, high-fidelity visuals, and developer handoffs. Collaborate with engineering, product, and operations teams; address complex workflows, edge cases, safety considerations, and real-time data. Establish Rhoda’s visual design system, design processes, and quality standards as its first dedicated UI designer.

Develop automated test frameworks and hardware-in-the-loop validation environments for robotic hardware, firmware, and software. Reproduce multidisciplinary failures, maintain requirements-to-results traceability, generate reliability and performance data, and support root-cause analysis and product readiness decisions.