Jobs at Rhoda AI

Design, build, and operate dynos, gear rigs, cooling benches, and durability fixtures to characterize motors and actuators. Define DAQ architecture, run high-throughput tests, ensure data integrity, and partner with modeling and design teams to validate performance and durability.

Lead full-cycle recruiting for software and research roles, partner with hiring managers to build sourcing strategies and talent pipelines, screen candidates, manage interviews and offers, use recruiting metrics and ATS, and promote DEI in hiring.

Lead system-level electrical design for industrial robotics: own schematics and PCB work in Altium, integrate sensors, motor drives, high-speed SerDes cameras, networking (EtherCAT/Ethernet/Wi‑Fi/5G), audio and display HMIs, cable harnesses, and industrial-grade designs. Collaborate with firmware, mechanical, supply chain, and manufacturing; run design reviews, validation, NPI support, and mentor engineers.

Lead AI system safety assurance for humanoid robots: perform STPA/FMEA hazard analyses, assess model-update risks, define AI safety requirements (inputs, confidence, OOD), develop V&V test cases, deploy validation cells, maintain traceability, and produce evidence packages for certification.

Design and deliver mechanical actuator components (motors, gear trains, housings) from concept through production. Create high-fidelity CAD and engineering drawings with GD&T, perform tolerance stack-ups, collaborate with modeling and test teams to define test plans, coordinate suppliers and RFQs, support characterization and iterative design, and ensure manufacturability, cost, and reliability for high-cycle electromechanical systems.

Support field POC and RaaS deployments under a Senior AE: install and integrate robot platforms and sensors, run tests, collect and analyze data, troubleshoot software/hardware, and document results while developing robotics systems competence and functional safety knowledge.

Own the end-to-end partner platform for Rhoda's robot foundation models: define APIs, tooling, integration boundaries, partner qualification, developer experience, documentation, and roadmap while working directly with partner engineering teams.

Optimize inference performance of large multimodal foundation models across cloud and on-robot targets. Diagnose bottlenecks, apply quantization/pruning/distillation, tune kernels (CUDA/Triton), build benchmarking and regression detection, and translate research models into deployment-ready implementations.

Build internal frontend interfaces, backend services, and tooling connecting cloud, data pipelines, and robot fleets. Own observability, scalability, and reliability of platform tools, collaborate with researchers and engineers, and integrate storage, APIs, and deployment/teleoperation systems.

Develop and maintain real-time perception pipelines for humanoid robots: sensor integration and calibration, object detection/tracking, low-latency streaming to models and teleop, safety-certified perception, field bring-up, and reliability/fault recovery.

Design, prototype, and integrate mechanical components for a Gen 0 humanoid robot. Work includes CAD modeling, BOM creation, end effector and mount design, third-party component integration, QA testing, and root-cause analysis. Collaborate with cross-functional engineers and support manufacturing handoffs with a focus on safety, reliability, and manufacturability.

Lead architecture and delivery of multi-sensor imaging and perception systems: select and integrate cameras, ToF, radar, LiDAR, and thermal sensors; own camera signal chain and ISP tuning; design illumination and sensor fusion hardware; ensure signal integrity, EMI/EMC, and production readiness through EVT/DVT/PVT to mass production; collaborate cross-functionally and mentor engineers.

Own and develop low-level real-time firmware for distributed humanoid robot control over EtherCAT. Design deterministic communication and synchronization (<1ms), implement safety mechanisms, tune RTOS and DMA/ISR paths, configure EtherCAT masters/slaves, collaborate across hardware and controls teams, and develop unit/HIL/integration tests and documentation for firmware validation and bring-up.

Lead full-cycle HR for a fast-growing robotics startup: manage onboarding/offboarding, HRIS integrity, benefits and compensation, performance and L&D programs, culture and engagement, compliance and multi-state employment law, and coordinate visa sponsorship and immigration processes.

Design, build, and maintain automated test plans, fixtures, and infrastructure across unit, integration, system, and hardware-in-the-loop layers. Extend CI/CD pipelines, define quality metrics and KPIs, track coverage and failures, and participate in design/code reviews to improve observability, testability, and reliability of the robotics software stack.

Lead hardware engineering to design, develop, validate, and scale robotic systems from concept to volume production. Define architecture, oversee mechanical/electrical/system design, test and certification, NPI, supplier relationships, and build a high-performing hardware organization focused on reliability, safety, and manufacturability.

Build and operate cloud infrastructure powering data collection, robot field operations, and model training. Ensure reliability, low latency, and scalability across databases, object storage, compute, and backend services; develop observability, debug production incidents, and collaborate with research and robotics teams.

Build and maintain onboard networking, data pipelines, telemetry, tooling, and perception-control integration for humanoid robots. Support hardware bring-up, field testing, and cross-team collaboration to ensure reliable data collection and deployment.

Develop physics-based, data-driven 1D actuator models and duty cycles to guide motor, gear, bearing, thermal, and efficiency design. Perform optimization, sensitivity, thermal and fatigue/life modeling, monetize attributes, run trade-off simulations, and partner with design, controls, and reliability teams to translate field data into validated hardware targets.

Build and validate physics-based simulation environments for humanoid robots, develop motion planning, control, and state estimation in simulation, integrate sim pipelines with perception and data systems, debug sim-to-real discrepancies, and write production-quality, testable code.