Jobs - Jobs4Americans

Back to jobs Global Supply Manager (GSM) – Robotics Hardware San Mateo Apply Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are looking for an agile, execution-focused Global Supply Manager to drive hardware procurement, prototype pipeline management, and supply chain execution. You will own key categories of our robot Bill of Materials (BOM)—including actuators, custom electromechanical components, sensors, cameras, and PCBAs. Beyond negotiating long-term contracts, you will be deeply embedded in early hardware development, managing day-to-day order execution and inbound material logistics to keep engineering teams building, testing, and iterating without delay. This role requires 25-40% international travel. Responsibilities Engineering Development Support: Partner closely with R&D, Mechanical, and Electrical Engineering teams during early-stage prototyping (Proto/EVT/DVT). Participate in design reviews to drive early supplier involvement, run Design-for-Manufacturability (DFM) feedback loops, and secure long-lead development components. Hands-On Order Execution: Own the tactical end-to-end purchasing process for prototype builds and production runs—building RFQs, issuing POs, tracking shipments, and expediting critical parts to keep pace with fast-moving engineering sprints. Material Handling & Logistics: Oversee initial material receipt, inventory allocation, and local logistics for incoming engineering parts. Coordinate with internal teams and contract manufacturers to ensure raw materials, components, and custom tooling are tracked, kitted, and routed to the correct lab or assembly line. Sourcing & Category Strategy: Own global sourcing strategies for critical robotic hardware categories, including motors, structural components, sensors, custom silicon, and camera modules. NPI to Production Scaling: Transition hardware designs from R&D prototypes to scaled manufacturing with domestic and international partners. Commercial Negotiations: Lead MSAs, SOWs, and unit pricing agreements to optimize total cost of ownership (TCO). Supplier Relationship Management: Build and maintain strategic relationships with key hardware vendors, conducting regular performance reviews to ensure quality, delivery, and cost targets are met. Preferred Qualifications 3-5 years of experience in strategic sourcing, global supply management, or technical procurement within hardware, robotics, consumer electronics, automotive, or aerospace environments. Proven experience supporting engineering teams through early development cycles (EVT/DVT/PVT), including fast-paced prototype sourcing and hands-on order placement (ERP/MRP systems, PO generation, shipment tracking). Direct experience taking electromechanical hardware components or systems from early concept through NPI and into scaled production. Experience managing and negotiating with suppliers across PCBAs, precision machining, sensors, or optical systems. Experience sourcing for autonomous mobile robots (AMRs), warehouse automation, or complex humanoid robotic hardware. Ability to read and interpret 2D technical drawings, mechanical GD&T, and electrical schematics. Familiarity with inventory tracking, kitting, and material management practices in an R&D or pilot production setting. Comfort with ambiguity and a builder's mindset to establish supply chain and procurement processes from scratch. BS/BA in Engineering, Supply Chain Management, Business, or a related quantitative field. Base Salary Range $100,000 - $300,000 USD Get new jobs like this in your inbox We'll email you when Skild AI posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country Phone Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree* Select... Discipline Select... Add another LinkedIn Profile Personal Website or Portfolio Why do you want to work at Skild AI?* Tell us about two to three projects or accomplishments you’re most proud of! Whether it’s building something impactful, contributing to open-source work, launching a company, winning an award, or anything else that showcases your skills — we’re excited to hear about it!* Submit application Powered by

Listed by Skild AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

51 days ago

Full Stack Engineer (Frontend & Android Focus)

Skild AI · San Mateo

Pay

$95k–220k

Setting

On-site

Apply Sign in to favorite Permalink

Back to jobs Full Stack Engineer (Frontend & Android Focus) San Mateo Apply Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking a highly skilled Full Stack Engineer with a specialization in Frontend and Androiddevelopment. In this role, you will build critical interfaces that end customers use to understand the performance of the robotics system in their application, operators use to deploy and manage fleets of robots, and operators and engineers use for debugging. You will bridge the gap between complex robotic intelligence and the user experience for our commercial partners. You will be responsible for designing and implementing high-performance applications that render real-time 3D environments, telemetry, and maps. Because our robots operate in diverse and challenging customer environments, you will architect solutions that are resilient to poor network conditions or complete disconnection. We are looking for an engineer with a background in graphics or gaming who understands the intricacies of rendering and state management at scale. Responsibilities Architect and Build Scalable Interfaces: Design and develop responsive, high-performance web and Android applications that serve as the primary interface for monitoring and controlling robotic fleets. 3D & Map Rendering: Implement complex visualization tools in the browser and on mobile devices, rendering large-scale maps, point clouds, and 3D environments to visualize robot perception in real-time. Resilient Networking: Engineer robust data synchronization layers that handle network-denied environments or intermittent connectivity, ensuring seamless operation and data integrity when robots go offline. Full Stack Development: Work across the stack, with a heavy emphasis on TypeScript/JavaScript for frontend logic and integration with backend services and robotic APIs. Performance Optimization: Profile and optimize rendering pipelines and application logic to ensure smooth performance on varied hardware, from high-end workstations to mobile field devices. Collaboration: Work closely with robotics researchers, ML engineers, and infrastructure teams to define APIs and data formats that support rich, real-time visualization. Basic Qualifications Bachelor's degree in Computer Science or related field Strong proficiency in JavaScript/TypeScript Experience with React and modern frontend development Understanding of backend development principles Knowledge of database design and management Experience with containerization (Docker) Familiarity with CI/CD principles Basic understanding of cloud services Preferred Qualifications Strong Industry Experience: A proven track record of building and shipping complex, user-facing products at scale. Expert TypeScript/JavaScript Skills: Deep proficiency in modern JS ecosystems (React, Vue, or similar) and state management. Android Development: Solid experience building native or high-performance cross-platform Android applications. Graphics or Gaming Background: Experience with WebGL, Pixi, Three.js, OpenGL, or game engines (Unity/Unreal). You understand how to render 3D geometry and handle high-frame-rate visualizations in a browser or mobile context. Indoor Mapping & Spatial Data: Experience rendering complex indoor environments and floor plans. Familiarity with spatial data structures and libraries suitable for indoor navigation and visualization, rather than traditional outdoor geospatial mapping. Offline-First Architecture: Demonstrated ability to build systems that function reliably in network-constrained environments (CRDTs, local-first databases, optimistic UI updates). Systems Thinking: Ability to understand the full flow of data from a robot sensor to a user's screen. Create a Job Alert Interested in building your career at Skild AI? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Email* Phone Country Phone Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree* Select... Discipline Select... Add another Personal Website or Portfolio GitHub URL LinkedIn Profile Submit application Powered by

Listed by Skild AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

85 days ago

R&D Assembly Technician

Skild AI · San Mateo, CA

Pay

$70k–150k

Setting

On-site

Apply Sign in to favorite Permalink

Back to jobs R&D Assembly Technician San Mateo, CA Apply Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are looking for an R&D Assembly Technician to join our hardware team and play a hands-on role in building and bringing up early prototype units. You'll work closely with mechanical, electrical, and manufacturing engineers to assemble, wire, and calibrate new systems and feed your firsthand build experience back into the designs. Responsibilities Build, assemble, and calibrate prototype and early-production units — including mechanical assembly, wiring and harnessing, fastening, and subsystem integration Surface assembly issues, fit problems, and DFA/DFM feedback that informs the next design revision Develop and refine assembly work instructions (SWIs) as processes are established for the first time Troubleshoot build issues alongside the engineering team and contribute to real-time problem solving Optionally grow into BOM and build-system work (OpenBOM, version control) based on interest Preferred Qualifications Hands-on assembly experience with complex electromechanical hardware — robotics, EVs, aerospace, medical devices, or similar; no degree required Comfort with ambiguity and incomplete documentation in a fast-moving R&D environment Strong generalist skill set across torque/fastening, wiring and harnessing, soldering, reading CAD and GD&T, and basic electrical troubleshooting Genuine curiosity about how things go together and the communication skills to give engineers actionable feedback Base Salary Range $70,000 - $150,000 USD Create a Job Alert Interested in building your career at Skild AI? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country Phone Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree* Select... Discipline Select... Add another LinkedIn Profile Website For undergraduate applicants, transcripts must be included in your application. Please attach below.* Attach Attach Dropbox Google Drive Accepted file types: pdf, doc, docx, txt, rtf Please include your GPA if you are a recent graduate or have limited work experience.* Submit application Powered by

Listed by Skild AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

99 days ago

Computer Vision AI & ML Engineer

Skild AI · San Mateo, CA

Pay

$135k–270k

Setting

On-site

Apply Sign in to favorite Permalink

Back to jobs Computer Vision AI & ML Engineer San Mateo, CA Apply Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions. Responsibilities Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data. Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems. Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning. Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting. Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques; translate research insights into practical prototypes. Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance. Preferred Qualifications Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX). Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or 3D scene understanding. Proficiency in Python; familiarity with C++ is a plus. Experience building training pipelines, evaluation frameworks, and ML deployment workflows. Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo). Experience with data annotation tools, dataset management, and augmentation techniques. Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems. Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices. Get new jobs like this in your inbox We'll email you when Skild AI posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country Phone Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree Select... Add another LinkedIn Profile Personal Website or Portfolio Why do you want to work at Skild AI? * Tell us about two to three projects or accomplishments you’re most proud of! Whether it’s building something impactful, contributing to open-source work, launching a company, winning an award, or anything else that showcases your skills — we’re excited to hear about it! * For undergraduate applicants, transcripts must be included in your application. Please attach below. Attach Attach Dropbox Google Drive Accepted file types: pdf, doc, docx, txt, rtf Please include your GPA if you are a recent graduate or have limited work experience. Submit application Powered by

Listed by Skild AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

99 days ago

System Identification & Controls Engineer

Skild AI · San Mateo, CA

Pay

$100k–180k

Setting

On-site

Apply Sign in to favorite Permalink

Back to jobs System Identification & Controls Engineer San Mateo, CA Apply Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We're hiring a System Identification & Controls Engineer to characterize, model, and validate the dynamics of every robot we work with — as accurately as possible, and at fleet scale. This is a senior individual-contributor role for someone who has done rigorous system identification on real robots before and walks in already knowing which tests to run. Responsibilities Plan and run system identification across all Skild robot platforms — actuators, transmissions, joints, rigid-body dynamics, and sensors. Design the excitation trajectories and bench/on-robot tests, and know which experiment answers which question. Characterize actuators and motors on dynamometers, test benches, and hardware-in-the-loop setups, alongside the EE, ME, and firmware teams. Fit dynamics models, quantify their accuracy, and close the sim-to-real gap against our simulators. Apply classical controls — state estimation, calibration, stability and bandwidth analysis — to real hardware. Build automated pipelines that scale identification from a single robot to the whole fleet. Quantify unit-to-unit variation, track drift and wear over time, and flag outlier units. Set the standard and tooling for system identification at Skild, and document findings rigorously. Preferred Qualifications MS or PhD in Mechanical/Electrical Engineering, Controls, Robotics, Aerospace, or a related field — or equivalent hands-on experience. A demonstrated, hands-on track record of system identification on real robotic or electromechanical hardware — identified and validated on physical systems, not just in simulation. Strong classical controls foundation: feedback/feedforward and cascade control, frequency-response and stability analysis, state estimation and Kalman filtering. Solid grasp of robot hardware and mechatronics: motors and field-oriented control, transmissions, encoders, IMUs, and force-torque sensors. Practical experience with excitation design, hardware data collection, and parameter estimation (time- and frequency-domain methods). Proficiency in Python and C++ in a Linux environment; MATLAB/Simulink a plus. Familiarity with robotics dynamics tooling and simulators (MuJoCo, Isaac Sim, Drake, Pinocchio, ROS/ROS2). Experience deploying calibration or controls across a large fleet of robots or vehicles is highly valued. Create a Job Alert Interested in building your career at Skild AI? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country Phone Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree Select... Add another LinkedIn Profile Personal Website or Portfolio Why do you want to work at Skild AI? * Tell us about two to three projects or accomplishments you’re most proud of! Whether it’s building something impactful, contributing to open-source work, launching a company, winning an award, or anything else that showcases your skills — we’re excited to hear about it! * For undergraduate applicants, transcripts must be included in your application. Please attach below. Attach Attach Dropbox Google Drive Accepted file types: pdf, doc, docx, txt, rtf Please include your GPA if you are a recent graduate or have limited work experience. Submit application Powered by

Listed by Skild AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

103 days ago

Camera Systems Software Engineer

Skild AI · San Mateo, CA

Pay

$100k–300k

Setting

On-site

Apply Sign in to favorite Permalink

Back to jobs Camera Systems Software Engineer San Mateo, CA Apply Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking an experienced Camera Systems Software Engineer to own camera integration and enablement for real-time robotic systems built on NVIDIA Tegra platforms. This person will be responsible for the full camera lifecycle, from defining requirements with external camera partners to integrating, debugging, and maintaining low-latency camera pipelines using the Tegra camera stack. This is a highly hands-on systems role that sits at the intersection of Linux, camera hardware, real-time software, calibration, synchronization, and high-level software interfaces. The ideal candidate has deep experience bringing up camera sensors, debugging low-level hardware/software issues, working with camera vendors, and building reliable APIs that expose synchronized camera data to perception, robotics, and autonomy systems. Responsibilities Own camera systems end to end, including vendor requirements, sensor/module selection, hardware bring-up, software integration, debugging, calibration, validation, and long-term maintainability. Work directly with camera vendors and hardware partners to define requirements for custom cameras, including sensors, optics, frame rates, exposure behavior, synchronization, timestamping, calibration needs, mechanical constraints, thermal constraints, and image-quality targets. Develop and maintain low-level camera software, including sensor configuration, camera drivers, device-tree changes, capture-path validation, timestamp handling, metadata handling, and camera control interfaces. Debug camera issues across the hardware/software boundary, including MIPI CSI-2, GMSL or FPD-Link, I2C control, power/reset/clock sequencing, dropped frames, timestamp instability, bandwidth limits, corrupted images, ISP behavior, and sensor-mode configuration. Design reliable, low-latency camera pipelines for real-time robotic systems, with careful attention to buffering, memory movement, CPU/GPU interaction, scheduling, throughput, timing jitter, and dropped-frame behavior. Build clean high-level APIs that expose camera frames, timestamps, metadata, calibration parameters, diagnostics, and health/status information to perception, autonomy, logging, and product software. Collaborate closely with perception, robotics, embedded systems, electrical engineering, and external hardware partners to ensure the camera stack is reliable, observable, and production-ready. Preferred Qualifications Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field. 5+ years of hands-on experience with embedded camera systems, including sensor bring-up, camera module integration, driver-level debugging, and board-level validation. Strong proficiency in C/C++ for Linux or performance-sensitive systems, including multithreading, memory management, profiling, and low-latency software design. Experience with camera interfaces and supporting hardware, such as MIPI CSI-2, I2C, GMSL, FPD-Link, serializers/deserializers, power sequencing, reset sequencing, clocks, and sensor mode tables. Experience developing or modifying Linux camera drivers, device trees, V4L2 drivers, media controller graphs, or similar low-level camera integration components Strong understanding of vision requirements for real-time systems, including timestamping, synchronization, buffering, scheduling, latency measurement, jitter reduction, dropped-frame analysis, and deterministic data delivery. Experience with multi-camera synchronization, hardware triggering, PTP, PPS, camera-IMU synchronization, or other precise timing systems. Working knowledge of image sensors and imaging pipelines, including Bayer formats, RAW capture, YUV/RGB formats, HDR modes, exposure/gain control, white balance, ISP behavior, and image-quality tradeoffs. Proficient with debugging tools and workflows, including kernel logs, tracing, profiling, oscilloscopes or logic analyzers, long-duration test scripts, capture validation tools, and reproducible failure isolation. Base Salary Range $100,000 - $300,000 USD Create a Job Alert Interested in building your career at Skild AI? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country Phone Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education Degree* Select... Add another LinkedIn Profile Personal Website or Portfolio Which office(s) are you willing to work? * Pittsburgh, PA San Francisco, CA For undergraduate applicants, transcripts must be included in your application. Please attach below. Attach Attach Dropbox Google Drive Accepted file types: pdf, doc, docx, txt, rtf Why do you want to work at Skild AI?* Tell us about two to three projects or accomplishments you’re most proud of! Whether it’s building something impactful, contributing to open-source work, launching a company, winning an award, or anything else that showcases your skills — we’re excited to hear about it!* Submit application Powered by

Listed by Skild AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Select a role

The full posting opens here — pay, setting and the full description, without leaving the list.