Jobs at Weave Robotics, Inc.

Build and operate cloud infrastructure for a robotics fleet, including distributed backend services, low-latency inference serving, fleet and customer APIs, real-time robot communication, telemetry systems, and production reliability tooling. Responsibilities include GPU scheduling, autoscaling, networking across unreliable home connections, secure device identity and communication, database operations, monitoring, SLOs, deployments, and incident response.

Build and ship full-stack features across customer applications, cloud backend services, fleet infrastructure, and on-robot systems. Develop web and mobile interfaces, telemetry and remote-operations tooling, deployment infrastructure, and observability systems. Debug issues across service boundaries, languages, and machines while collaborating with app, robotics, hardware, and ML teams. Required work spans TypeScript, Python or Go, distributed systems, APIs, streaming, containers, CI/CD, and cloud infrastructure.

Design and develop control systems for production robots, translating high-level motion commands into precise whole-body behavior. Implement hierarchical feedback loops, motor control software, compliant and force-sensitive controllers, and QP-based whole-body control. Develop embedded, real-time software integrated with custom hardware and communication interfaces. Build pipelines for sensing, encoder calibration, filtering, synchronization, and system characterization while ensuring robotic safety, timing, reliability, and robustness.

Build and maintain customer-facing applications and backend systems across iOS, Android, VR, and web platforms. Develop intuitive robot interfaces, interactive 3D visualizations, and secure authentication and device-access flows. Integrate real-time APIs, streaming data, WebSockets, gRPC, and connected hardware while collaborating with engineering and UI/UX teams to create polished experiences for robot users.

Build and own the robotics simulation platform, including environments, robot models, actuator and contact modeling, GPU-parallel training infrastructure, system identification, domain randomization, regression testing, and CAD-to-simulation asset pipelines. The role focuses on improving simulation fidelity, performance, reproducibility, and sim-to-real transfer for controls, planning, SLAM, and manipulation systems.

Manage day-to-day production floor operations for robot assembly: plan weekly builds, staff and train machinists and technicians, enforce work instructions and quality controls, track production metrics, manage inventory, and feed manufacturing insights back to engineering to improve manufacturability and reliability.

Own product security across robots, embedded systems, firmware, cloud infrastructure, APIs, mobile applications, and fleet operations. Lead threat modeling, secure architecture reviews, vulnerability research, penetration testing, code review, incident response, detection engineering, and security tooling. Establish security standards, automate testing, investigate incidents, and partner closely with engineering teams to harden systems and ship secure fixes.

Build and deploy vertically integrated robotic systems across hardware and software. Responsibilities include integrating sensors, troubleshooting cross-stack issues, bringing new robots from first power-on through deployment, configuring customer-specific workflows, validating robots at customer sites, and creating runbooks and tooling. The role requires hands-on experience with robotic or electromechanical systems, hardware and software debugging, and deployment or integration at customer locations.

Build and optimize end-to-end machine learning training infrastructure for large-scale multimodal robot data. Responsibilities include distributed training, data ingestion and transformation, checkpointing, orchestration, experiment tracking, sampling and curation, performance profiling, debugging data and training issues, and converting research prototypes into production infrastructure. The role may also involve robot learning, cloud and cluster infrastructure, post-training, on-robot inference optimization, CUDA or Triton kernels, and video-heavy datasets.

Conduct independent robot-learning research from hypothesis through data, model training, deployment, and evaluation. Establish long-term research direction, experiment with novel architectures and post-training methods, develop data strategies, deploy models on physical robots, define real-world metrics, and build scalable machine-learning infrastructure for research and production.

Design and integrate electromechanical systems for home robots, including structures, harnesses, thermal systems, charging docks, safety peripherals, and test fixtures. Debug electrical and mechanical faults, support prototype and EVT/DVT production builds, and collaborate on DFM/DFA and manufacturing changes. The role requires hands-on CAD, schematic, harness, PCB, thermal, testing, and cross-domain troubleshooting expertise.

Architect and build terabyte-scale robotics data pipelines from fleet sensor streams through training ingestion. Curate, preprocess, annotate, version, and validate datasets; analyze data coverage, drift, redundancy, and quality; mine scenarios using embeddings and models; and develop samplers, benchmarks, and evaluation datasets. Partner with ML researchers to diagnose model failures and create targeted data mixtures and processing workflows that improve robot-learning performance.

Develop and maintain real-time actuator and motor-control firmware for robotic systems from prototype through production. Design hierarchical feedback-control systems, architect reliable embedded software, validate motor controllers and sensors, and collaborate with electrical and mechanical engineers on custom hardware. Build calibration and sensing pipelines for encoders, current, voltage, filtering, synchronization, and system characterization while implementing safety mechanisms and meeting production timing and robustness requirements.

Design and develop the behavioral and autonomy architecture for real-world robots. Build systems that translate goals and robot state into coordinated actions, integrate perception, controls, navigation, and learned methods, and ensure safety through preconditions, fallbacks, timeouts, and recovery. Diagnose cross-stack issues involving latency, failures, and resource contention. Establish robust interfaces, review system-wide designs, and provide technical leadership across robotics teams.

Design and develop robotic actuators, including transmissions, motor integration, structural packages, bearings, sealing, and thermal systems. Define and run life testing using fleet-derived load spectra, perform teardown analysis, and establish evidence-based design margins. Collaborate on in-house assembly, calibration, end-of-line testing, and actuator performance roadmaps. The role requires precision mechanical design, geartrain analysis, manufacturing and DFM expertise, CAD, FEA, tolerance analysis, GD&T, fatigue, and thermal design experience.

Design and ship end-to-end teleoperation systems for bimanual home robots. Build VR and 3D operator interfaces, integrate headsets and controllers, develop motion-retargeting and optimization-based control, reduce perceived network latency, and create shared-autonomy capabilities. Specify ergonomic operator stations and collaborate across mechanical, robotics, and software teams. The role combines HCI, sensing, ergonomics, robotics, systems profiling, and empirical testing to deliver reliable tools used by operators in real-world settings.

Design and own motor controller hardware for robotic actuators, including gate drives, power stages, sensing, feedback interfaces, protection circuitry, PCB layout, bring-up, validation, and production support. Tune field-oriented control, optimize switching, thermal performance, EMI/EMC, efficiency, and acoustic noise. Collaborate with firmware, mechanical, and manufacturing teams while supporting DFM, DFT, calibration, and end-of-line testing.

Design and validate power systems for home robotics, including battery management, power distribution, DC/DC conversion, charging, protection circuitry, and custom PCB development. Lead schematic and layout reviews, hardware bring-up, automated validation, efficiency and thermal optimization, EMI/EMC improvements, component selection, and production hardware support. Collaborate with embedded, controls, mechanical, robotics, and manufacturing teams to deliver reliable, safe, production-ready robot electronics.

Program, set up, prove out, inspect, and produce prototype and production parts on CNC mills using aluminum, steel, and engineering plastics. Manage CAM workflows, tooling, workholding, GD&T-based inspection, 3D printing, shop maintenance, inventory, and fabrication standards. Provide engineers with design-for-manufacturing feedback and help improve shop equipment and processes. Support frequent changeovers and small-batch production in a fast-paced robotics prototype environment.

Design and ship production-grade visual SLAM and localization for indoor robots by fusing cameras, IMUs, odometry and other sensors. Build sensor calibration, synchronization, and perception infrastructure; optimize for robustness, latency, and power. Investigate learned methods, debug failures on real robots, and integrate research into production systems.