Jobs at Weave Robotics, Inc.

Develop robotics software for localization, state estimation, motion planning, trajectory analysis, sensor integration, autonomy, and system architecture. Implement and validate algorithms on physical robots using C++ and Python, integrate sensors, manage calibration and synchronization, define performance metrics, and optimize reliable operation under real-world hardware and environmental constraints.

Design intuitive, polished digital experiences across Weave’s website, mobile apps, business tools, and autonomous robots. Responsibilities include establishing scalable design systems, shaping interaction paradigms, prototyping and iterating concepts, and collaborating with industrial design, robotics, software engineering, and operations teams. The role requires strong UX, interaction design, information architecture, visual design, and usability expertise, with emphasis on consumer software and physical-world robotics experiences.

Own the operating system and IPC layers for home robots, including Linux kernel behavior, scheduling, memory management, drivers, synchronization, networking, and shared-memory transport. Build reliable unattended operation through boot, OTA updates, rollback, service supervision, crash capture, and health monitoring. Profile performance, debug issues across hardware and software boundaries, and bring up new hardware with electrical, controls, and robotics teams.

Lead industrial design for home robotics from concept through production. Develop 3D forms, Class-A surfaces, CMF specifications, prototypes, and production-ready geometry while collaborating with engineering, manufacturing, suppliers, and UI teams. Balance aesthetics, functionality, manufacturability, serviceability, and reliability across tooling, cosmetic reviews, and production ramp. Requires advanced CAD and surfacing expertise, physical prototyping, DFM knowledge, and experience with complex consumer products.

Design and develop articulated robotic mechanisms, including joints, manipulators, grippers, linkages, and actuated assemblies. Own designs from requirements and CAD through analysis, prototyping, testing, iteration, and production release. Perform mechanical calculations, FEA, tolerance analysis, and life validation while optimizing torque, stiffness, efficiency, durability, cost, and mass. Collaborate cross-functionally with controls, electrical, embedded, and industrial design teams to optimize complete robotic systems.

Drive manufacturing scale-up for robotic products by transitioning parts from prototype to production processes, leading DFM reviews, specifying and qualifying tooling, developing suppliers, managing first-article inspections, modeling costs, improving assembly fixtures and processes, monitoring throughput, and managing bridge production. Requires hands-on experience with multiple manufacturing processes, production tooling, supplier management, cost analysis, CAD, and GD&T.

Own robot deployments from signed customer through go-live and ongoing operation. Coordinate site readiness, hardware, configuration, logistics, training, support, compliance, and internal dependencies. Serve as the primary post-sales customer contact, resolve operational issues, configure robot workflows, build scalable checklists and dashboards, establish data-collection environments, and translate field observations into product requirements and bug reports.

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 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.

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.

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 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.

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.

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.

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.

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.

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 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.