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Mind Robotics

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  • Electrical Design Engineer, Tactile Sensing

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Electrical Design Engineer, Tactile Sensing Palo Alto, California, United States Responsibilities - Own the tactile sensor stack electrically - from transducer interface and analog front-end through signal conditioning, digitization, and delivery of clean, time-stamped data to downstream compute. - Design low-noise analog front-ends for high-channel-count tactile arrays across one or more modalities (capacitive, resistive/piezoresistive, magnetic, optical, piezoelectric, MEMS/barometric), including amplification, filtering, ADC selection, and calibration strategy. - Architect multiplexing and scanning schemes for dense taxel arrays, including crosstalk mitigation, drive/sense electrode design, and trade-offs between spatial resolution, sample rate, and power. - Design high-density flex, rigid-flex, and ultra-compact PCBs for volume-constrained, cable-routed assemblies - fingertips, palms, gripper surfaces, and data collection gloves. - Deliver deterministic, tightly synchronized sampling: design clocking, triggering, and timestamping architectures that meet sub-millisecond synchronization requirements with the robot's real-time actuator bus and ML data collection pipelines. - Ensure EMI/ESD robustness - shielding, grounding, and filtering strategies for sensors operating millimeters from motors and power electronics in factory environments. - Characterize sensor electrical performance - noise floor, SNR, bandwidth, drift, hysteresis, temperature sensitivity - and build the electrical side of characterization rigs alongside mechanical ground-truth fixtures. - Bring up boards hands-on: schematic capture, layout review, first-article debug, firmware-adjacent driver and calibration work in collaboration with the firmware team. - Contribute to DFM/DFA so sensor electronics scale from low-volume prototypes to high-volume production; work with PCB fabricators, assembly houses, and contract manufacturers to keep parts on spec and on time. - Collaborate cross-functionally with mechanical, firmware, controls, and

  • Forward Deployed Engineer

    Normal, IL, Normal, IL, United States

    onsite Salary not disclosed

    Forward Deployed Engineer Normal, IL, Normal, IL, United States About the Role We're hiring a Forward Deployed Engineer to be our hands and eyes onsite at a key customer in Normal, IL. You'll be responsible for our fleet of data collection devices - diagnosing and repairing devices, provisioning new hardware, troubleshooting networking, and running the diagnostic workflows that keep the system healthy. This role will start with critical robot data collection devices and then transition into robot deployment support . This is a forward-deployed role with strong support from HQ. You won't be alone: our engineering team is one Slack message away, and you'll work closely with them to escalate complex issues, ship fixes back into the product, and bring the voice of the customer into our roadmap. The ideal candidate is technically curious, calm under pressure, and energized by being the person on the ground who makes things work. Responsibilities - Provision new hardware by installing and configuring Linux, deploying our software stack, and validating device health before bringing units into production. - Run diagnostic scripts, collect and interpret system logs, and execute command-line workflows to identify root causes of device or network issues. - Configure and troubleshoot local networking (IP, DHCP, DNS, VLANs, Wi-Fi/Ethernet) to ensure reliable device connectivity to our backend. - Serve as the customer's primary technical point of contact onsite, coordinating closely with HQ engineering and support to resolve issues and feed field learnings back into the product. Qualifications - Hands-on hardware and software troubleshooting

  • Global Supply Chain Manager

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Global Supply Chain Manager Palo Alto, California, United States We're building robots for industrial deployment that push the limits of what hardware can do and we need someone who's done this before in the trenches, not just observed it from a distance. You'll be part of building our supply chain from scratch, working shoulder-to-shoulder with our engineering team, and moving at a fast pace. If you've thrived in that environment before - and you're hungry to do it again - this role is for you . Responsibilities - Identify, evaluate, and onboard suppliers for motors (BLDC, stepper, servo), custom PCBs/PCBAs, injection-molded parts, CNC-machined components, cameras, connectors, and cable assemblies - Own the full procurement cycle - issue quotes, negotiate piece pricing and tooling costs, and execute NDAs, supply agreements, and purchase orders - Build and maintain should-cost models across key commodities to drive cost reduction through competitive bidding, DFM feedback, and supplier consolidation - Source components and work closely with machine shops, CMs, and CEMs to ensure parts are manufactured and shipped to spec and on time - Develop and manage the supply chain readiness plan to move from low-volume prototype builds (10s of units) to initial production runs (100s-1,000s of units) - Track supplier lead times, tooling timelines, and open items across all commodities using program management tools - Manage ongoing supplier performance - partnerships, business reviews, dispute resolution, and corrective action plans - Coordinate inbound logistics from domestic and international suppliers, managing inventory levels to balance carrying cost

  • Senior Staff Technical Program Manager, Robotics Systems

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Senior Staff Technical Program Manager, Robotics Systems Palo Alto, California, United States The Role We're looking for a Senior Staff Technical Program Manager to serve as the operational and strategic backbone of Mind Robotics' core platform development. This is a founding program management role - the connective tissue between our hardware, software, and data collection teams as we scale from prototype to fleet deployment. You will own the integrated master plan for our robotics platform: the full-stack convergence of dexterous hardware, real-time control systems, and the data flywheel that trains our models. You are not a timeline tracker. You are a systems thinker who can hold the big picture, identify dependencies before they become blockers, and push every team to deliver against a shared roadmap. This role is the difference between hardware and software operating in parallel - and operating as one. You will work directly with our founder and functional leads. You will make this company move faster. What You'll Do Cross-Functional Program Leadership - Own the integrated master program plan across hardware, software, and data collection - maintaining a single source of truth for milestones, dependencies, and critical path items. - Identify and surface cross-functional risks before they become schedule-critical blockers; drive resolution with urgency and clarity. - Serve as the primary connective layer between the hardware engineering, software/ML, and data operations teams - ensuring no workstream operates in isolation. - Lead structured program reviews that keep leadership and teams aligned on priorities, trade-offs, and resource requirements. Hardware

  • Thermal Design Engineer

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Thermal Design Engineer Palo Alto, California, United States Responsibilities - Own thermal design and analysis across the robot including arms, end effectors, and on-board compute from concept through volume production. - Develop thermal architectures for high-torque-density actuators (motors, gearboxes, drives) in joints, where heat dissipation is the limiting factor on continuous performance. - Design cooling solutions for end effectors within tight volume, mass, and cable-routing constraints. - Develop thermal management for on-board compute (CPUs, GPUs, custom accelerators, power electronics), including airflow, heat sinks, heat pipes, vapor chambers, TIMs, and active cooling where needed. - Build thermal models (analytical, CFD, FEA) and validate them with hands-on testing (thermocouple instrumentation, IR imaging, calorimetry, and accelerated stress tests) - Specify and select thermal components (TIMs, fans, heat pipes, heat sinks, blowers, phase-change materials) and own supplier relationships. - Define thermal limits, derating curves, and protection logic in collaboration with electrical, firmware, and controls teams. - Contribute to DFM/DFA so thermal solutions scale from low-volume prototypes to high-volume production. - Develop accelerated test plans to validate thermal performance over the product's lifetime, including environmental and duty-cycle stress. Qualifications - 5+ years of experience (or equivalent "hard tech" projects) designing and validating thermal solutions for complex electromechanical systems. - Strong fundamentals in conduction, convection, and radiation, plus working knowledge of two-phase cooling and heat-pipe / vapor-chamber design. - Hands-on experience with CFD tools (Ansys Icepak, Flotherm, SolidWorks Flow Simulation, or similar) and thermal FEA. - Track record solving thermal problems in at least one of:

  • Mechanical Design Engineer, Tactile Sensing

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Mechanical Design Engineer, Tactile Sensing Palo Alto, California, United States Responsibilities - Design and develop mechanical components, assemblies, and skins for tactile sensors integrated into robotic end effectors (fingertips, palms, gripper surfaces) , data collection gloves and other contact-rich subsystems. - Own the tactile sensor stack mechanically from transducer packaging and skin/elastomer design through integration into volume-constrained, cable-routed assemblies. - Develop and tune elastomer / compliant materials (silicone, urethane, gels) including durometer selection, embedded markers or particles, surface texturing, and durability under shear and cyclic loading. - Rapidly build, test, and break prototypes. Use 3D printing and manual fabrication to validate designs. - Perform analyses (FEA, contact mechanics, tolerance, thermal) to validate sensor performance, predict failure modes, and guide design decisions. - Design characterization fixtures and accelerated test plans - indenters, force/torque ground truth setups, shear testers, life-cycle rigs - to validate tactile performance under realistic contact conditions. - Contribute to DFM/DFA efforts so sensor designs scale from low-volume prototypes to high-volume production. - Source components and work closely with machine shops, materials suppliers, and contract manufacturers to ensure parts are manufactured and shipped to spec and on time. - Develop specifications and accelerated test plans to validate the product for its lifetime. - Collaborate cross-functionally with electrical, firmware, controls, and ML teams to translate raw sensor signals into usable manipulation feedback. Qualifications - Exceptional Mechanical Intuition. You understand how forces, materials, and contact mechanics behave instinctively. - 5+ years of experience (or equivalent "hard tech" projects) building complex electromechanical

  • Robot Operator Lead

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Robot Operator Lead Palo Alto, California, United States Mind Robotics is building the operational backbone behind general-purpose industrial robots - the data, the procedures, and the people who teach machines how to move through the real world. Our operators are the human side of that loop: they pilot robots, generate the demonstration data that trains our models, and surface the edge cases the AI team needs to see. We're hiring several Teleoperations Leads to drive that function end-to-end. This is a hands-on lead role, not a desk job. You'll spend a meaningful share of your week teleoperating robots, running collection sessions, and working through new tasks yourself before anyone else does. Then you'll turn what you learned into SOPs, train the operators behind you, and raise the bar on data quality across the team. Responsibilities Operate. You'll pilot our robots through new and existing behaviors - household manipulation, commercial workflows, dexterous tasks, recovery maneuvers. You're the person who figures out how a new task should be performed before it's written down. Write the playbook. Every recurring task, bring-up procedure, shutdown sequence, safety check, and data-collection protocol becomes an SOP under your ownership. You'll define what "good" looks like - pose conventions, framing, retry behavior, when to abort a take - and keep those documents alive as the platform evolves. Train the team. You'll onboard new operators, run shadowing sessions, certify them on each task class, and run periodic calibration reviews to catch drift. When a new behavior comes online, you're

  • Candidate Experience Partner

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Candidate Experience Partner Palo Alto, California, United States Mind Robotics Mind Robotics is building the full-stack platform for AI-enabled industrial robotics -- the foundation models, purpose-built hardware, and deployment infrastructure to automate the manufacturing work that has resisted automation for decades. We were founded by RJ Scaringe and spun out of Rivian in 2025, with $615M+ raised from Eclipse, Accel, and Andreessen Horowitz. Our first robots go into Rivian's plant this year. The scale of what we're building from there is large. The Role We are looking for a Candidate Experience Partner to join our team and partner directly with Recruiters, Sourcers, and Hiring teams to support our hiring experience. As our first hire in this function, you will own the end-to-end logistics of the interviewing process. This includes managing everything from technical screens to complex, multi-stage executive loops. You will act as the primary point of contact for candidates, ensuring they receive a "white-glove" experience that reflects our brand's commitment to excellence and detail. Because you are the first person in this seat, you have a seat at the table in defining what "Candidate Experience" looks like at Mind Robotics. You aren't just an administrator; you are a critical partner in how we scale our culture and land the leadership talent that will define our future. What You'll Do - Own the Logistics: Coordinate complex interview schedules across multiple time zones, ensuring a seamless flow for both the candidate and the hiring team. - Executive Partnership: Work closely with

  • Business Operations and Special Projects

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Business Operations and Special Projects Palo Alto, California, United States About Mind Robotics Mind Robotics is building the full-stack platform for AI-enabled industrial robotics, the foundation models, purpose-built hardware, and deployment infrastructure to automate the manufacturing work that has resisted automation for decades. We were founded by RJ Scaringe in 2025, with $615M raised from Eclipse, Accel, and Andreessen Horowitz, and a strategic partnership with Rivian. Our first robots go into Rivian's plant this year. The scale of what we're building from there is large. We keep the team small and we keep the bar high. The people who thrive here are the ones who can figure out what needs to exist, build it, and move on to the next thing - without waiting to be told what that is. The Role BizOps at Mind Robotics is not a support function. It's how the company solves the problems that don't belong to any single team yet, and makes sure the operational infrastructure keeps pace with how fast we're growing. You'll work directly with the Head of Strategy & BizOps, flexing into whatever is highest priority across domains. One month that might be the financial model behind a major vendor decision, the next it's standing up a new function from scratch or the market analysis that shapes where we expand next. You'll move fluidly from high-level strategy to the nitty-gritty blocking and tackling of actually building things, often in the same week. The expectation is that you'll figure out what needs

  • Safety Engineer

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Safety Engineer Palo Alto, California, United States About the Role We're looking for a Senior Safety Engineer who can own functional safety end-to-end for our humanoid platform: hazard analysis, architectural decisions, component selection, certification, and the messy real-world testing in between. Standards like ISO 3691-4, and ISO 10218 tell you what outcomes you must achieve. ISO 25785-1 is currently under development requiring robot dynamic stability control including zero-energy pose protocols, and fall zone markings. They do not tell you how to get there with a bipedal, dynamically balancing, multi-DOF system that doesn't fit cleanly into the assumptions those standards were written under. We need someone who treats that gap as the interesting part of the job - not a blocker. Responsibilities - Lead the safety lifecycle for our humanoid platform: hazard analysis, risk assessment, SIL/PL determination, safety requirements specification, and validation - Design safety architectures (E-stops, safety-rated monitored stops, power and force limiting, speed and separation monitoring) appropriate to a mobile, dynamically balancing robot - Select and justify safety-rated components : controllers, sensors, contactors, and where no off-the-shelf component fits, design or specify alternatives that achieve equivalent safety integrity - Drive certification efforts , and own the technical file - Partner with mechanical, electrical, controls, and AI teams to bake safety into the design rather than bolt it on - Build the test fixtures, procedures, and evidence needed to prove our safety claims - Stay ahead of evolving standards (ISO 25785-1, the in-progress humanoid-specific work, etc.) and translate them into

  • Systems Engineer

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Systems Engineer Palo Alto, California, United States Responsibilities - Define system and component level requirements through first principles analysis and hardware/model-based testing - Own system-level architecture and interface definitions (ICDs) across mechanical, electrical and other verticals - Prototype and characterize components and full systems to ensure target metrics are met - Design and develop early system prototypes to de-risk new technologies - Understand and highlight n-th order impacts of electrical, software, or process changes - Triage and debug hardware and software interactions during design, launch, and deployment - Be responsible for overall functional and performance readiness of a system and its features during the full product life cycle - Analyze the failure modes and complete full DFMEAs/HARAs to ensure a safe subsystem design - Define system-level test plans and acceptance criteria for integrated robot builds, from bench testing through field deployment Qualifications - Degree in engineering or related field or, equivalent experience - 5+ years of experience in systems engineering or a cross-disciplinary hardware role involving complex electromechanical or robotic products - Strong electrical and embedded systems fundamentals - Hands-on technical experience debugging complex subsystems involving network microprocessors and software-controlled electrical or electromechanical devices - Ability to read and interpret C/C++ or similar embedded systems languages - Strong written and verbal communication skills - Experience in MATLAB, Python, or equivalent tools for modeling and analysis - Proficient in data visualization - Experience in failure modes analysis, HARA and FTA - You are comfortable with ambiguity, move fast, and have an

  • Actuation Engineer, Motor Design

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Actuation Engineer, Motor Design Palo Alto, California, United States About the Role As a Motor Designer on our team, you will own the electromagnetic design of custom motors and, together with mechanical, controls, and manufacturing partners, rethink what a motor can look like when every cubic millimeter matters. You will move fluidly between simulation, prototype, and bench, and your designs will end up inside robots that interact with the physical world. Responsibilities - Design novel electric motor architectures (BLDC, PMSM, unconventional topologies: axial flux, slotless, coreless and etc. ) optimized for extreme torque density and compact packaging. - Perform electromagnetic simulation and analysis (2D/3D FEA) to evaluate torque, efficiency, thermal behavior, cogging, back-EMF, and loss breakdown across operating points. - Drive the full design loop from concept through prototype: winding configuration, magnet selection and layout, stator and rotor geometry, lamination and airgap design. - Produce mechanical designs in CAD AND/OR partner closely with suppliers and mechanical engineers to translate electromagnetic concepts into manufacturable assemblies. - Specify and review motor components with external vendors, including reviewing their drawings, tolerances, materials, and process capabilities. - Define and execute dynamometer and characterization testing; correlate simulation to measured performance and iterate designs based on data. - Collaborate with motor controls, firmware, and mechanical integration engineers to make sure the motor performs well as part of a complete actuator and robot system. Qualifications - B.S., M.S., or Ph.D. in Electrical Engineering, Mechanical Engineering, or a closely related field, with a focus on electric machines. -

  • Product Manager, Data & Teleoperation

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Product Manager, Data & Teleoperation Palo Alto, California, United States Mind Robotics is building intelligent robotics for industrial deployment. We believe the fastest path to broadly capable robots is through clearly defined, high-impact environments. We are starting where the need is most acute and the environment is most exacting: the factory floor. Role Summary The Product Manager for Data & Teleoperation sits at the intersection of human intent and robotic embodiment, treating the end-to-end data collection pipeline as a high-fidelity product. Your mission is to define and execute the roadmap for our teleoperation platform, ensuring that human demonstrations translate into the high-quality data necessary to ground our AI models in physical reality. You will bridge the gap between AI Research, Engineering, and Operations to build a scalable data flywheel that validates hardware and evaluates policy stability. Key Responsibilities Product Strategy & Roadmap - Teleoperation Platform Roadmap: Own the product vision and multi-quarter roadmap for teleoperation "cockpits," prioritizing features like VR integration, haptics, and ultra-low-latency streaming to improve operator intuition. - Feature Definition & Hardware UX: Translate hardware iteration needs (gripper design, field-of-view) into product requirements for the teleoperation interface, ensuring hardware is validated through rapid human feedback loops. - Technological Innovation: Research and scope cutting-edge technologies, including VR, haptics, and ultra-low-latency streaming to enhance operator intuition. Data Product Lifecycle - Data Fidelity & Integrity: Define specifications for high-fidelity data capture, ensuring kinematics and latency parameters meet the standards required for robot-learnable datasets. - Recovery & Edge-Case Strategy: Productize the "recovery

  • Electrical Design Engineer

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Electrical Design Engineer Palo Alto, California, United States Responsibilities - Design and develop complex electrical systems, including power distribution, sensor integration, and motor drive systems. - Execute full-cycle PCB development-schematic capture, component selection, multi-layer layout, and manufacturing file generation (Altium, KiCad, or OrCAD). - Assemble, test, and debug initial prototypes - Work closely with firmware and mechanical engineers to define connectors, pinouts, and physical constraints. - Develop specifications and accelerated test plans to validate the product for its lifetime - Interface with PCB fabricators and component suppliers to ensure timely delivery and DFM Qualifications - Technical degree in Electrical Engineering or equivalent - 5+ years of experience (or equivalent "hard tech" projects) building complex electromechanical systems and sensors - Deep understanding of DC-DC converters, EMI/EMC mitigation, and standard communication protocols (I2C, SPI, CAN bus, UART). - Experience with hardware validation cycles, debug and measurement methods - Experience with wire harnesses, cabling & connectors.4 - Experience designing for volume processes and working with contract manufacturers - You are comfortable with ambiguity, move fast, and have an "engineering curiosity" that drives you to understand how the entire system works, not just your part.

  • Mechanical Design Engineer

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Mechanical Design Engineer Palo Alto, California, United States Responsibilities - Design and development of mechanical components and assemblies for data collection hardware and robotic devices - Rapidly build, test, and break prototypes. You'll use 3D printing, CNC machining, and manual fabrication to validate designs - Contribute to DFM/DFA efforts to ensure designs can scale from low-volume prototypes to high-volume production - Source components and work closely with machine shops and CMs to ensure parts are manufactured and shipped to spec and on time. - Perform basic analyses (tolerance, structural, thermal) to validate design decisions - Develop specifications and accelerated test plans to validate the product for its lifetime - Assist in documentation for design reviews and testing - Collaborate with cross-functional teams (electrical, software, industrial design) to consolidate design requirements and integrate mechanical systems Qualifications - Exceptional Mechanical Intuition. You understand how forces, materials, and mechanisms behave instinctively. - 5+ years of experience (or equivalent "hard tech" projects) building complex electromechanical systems and sensors - Familiarity with rapid prototyping techniques such as 3D Printing, Machining, etc. - High proficiency in SolidWorks, Catia or similar tools - Hands-on problem-solving approach with ability to iterate quickly - Experience designing for volume processes (Injection molding, CNC, etc.) and working with contract manufacturers. - You are comfortable with ambiguity, move fast, and have an "engineering curiosity" that drives you to understand how the entire system works, not just your part.

  • Robotics Software Engineer

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Robotics Software Engineer Palo Alto, California, United States The Role At Mind Robotics, we're building generalized physical AI -robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Delivering this in production requires robust, high-performance robotics software that can reliably operate in complex, real-world settings. We're looking for a Robotics Software Engineer to build the runtime systems, middleware, and developer infrastructure that power our robotic platforms-from low-level execution to operator-facing tools. Responsibilities - Design, develop, and maintain runtime systems that enable reliable, low-latency operation of robotic platforms - Ensure robustness of robotics systems across real-world deployment scenarios - Implement and optimize robotics middleware for inter-process communication, data serialization, and message passing - Integrate with frameworks like DDS, Zenoh, or build custom solutions as needed - Build systems for task scheduling, resource management, and lifecycle management of robotic applications - Enable scalable and modular execution of complex robotic behaviors - Ensure that robotics systems meet strict latency and reliability requirements - Optimize for resource-constrained and embedded environments - Develop tools to monitor system health, debug failures, and analyze performance - Design and maintain deployment workflows, CI/CD pipelines, and containerization (e.g., Docker) - Build abstractions, APIs, and tools that enable application engineers to develop robotic behaviors efficiently - Contribute to operator-facing tools (e.g., UI for monitoring, control, and data annotation workflows) - Focus on developer experience and system ergonomics, ensuring that the platform scales across robots, tasks, and environments Qualifications - Strong experience building robotics software systems and middleware

  • Research + Modeling

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Research + Modeling Palo Alto, California, United States The Role At Mind Robotics, we're building generalized physical AI -robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Our models sit at the core of this effort, bridging cutting-edge foundation model techniques with real-world robotic execution. We're looking for a Research & Modeling Engineer to build and train the core models that power our systems, and ensure they perform reliably on real robots in production environments. Responsibilities - Design and run large-scale training pipelines for multimodal / VLA systems - Own the full loop: data → training → evaluation → deployment on real robots - Develop scalable infrastructure for data ingestion, training, and iteration - Translate model outputs into reliable, high-performance robotic actions - Work hands-on with robots to debug, iterate, and improve behavior - Define data strategy (quality, scale, diversity) and evaluation frameworks - Continuously improve performance across real-world tasks and environments Qualifications - Built and trained large-scale models (LLMs, VLMs, or robotics foundation models) - Deep understanding of modern ML, training dynamics, and optimization at scale - Experience with distributed systems and data pipelines for large-scale training - Comfortable operating end-to-end: from data → model → real-world deployment (incl. robots) - Domain strength in at least one: robotics, VLA systems, or training LLMs/VLMs from scratch - Strong Python skills Nice to Have - Experience with dexterous manipulation or complex robotic tasks - Experience deploying models in real-world, production environments

  • Machine Learning Infrastructure Engineer

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Machine Learning Infrastructure Engineer Palo Alto, California, United States The Role At Mind Robotics, we're building generalized physical AI -robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Our ability to iterate quickly on large-scale models depends on world-class ML infrastructure. We're looking for a Machine Learning Infrastructure Engineer to build the core systems that enable fast, reliable, and scalable model training-powering everything from experimentation to production deployment. Responsibilities - Design and implement scalable systems for training large ML models - Enable efficient workflows for data ingestion, training, and iteration - Develop and optimize distributed training systems across hundreds of GPUs - Implement strategies for parallelization, sharding, and efficient compute utilization - Improve training efficiency through techniques such as attention optimizations, kernel fusion, and memory management - Partner closely with modeling teams to accelerate iteration speed and reduce training costs - Build internal tools for experiment tracking, monitoring, and debugging - Implement systems for tracking training performance, failures, and resource utilization - Debug and resolve bottlenecks across the training stack - Provide lightweight infrastructure support for deploying and running models in production environments - Optimize inference performance and reliability where needed - Support core cloud infrastructure needs for training workloads (without heavy DevOps overhead) - Manage compute resources efficiently across training jobs Qualifications - Strong experience building infrastructure for large-scale ML training - Deep understanding of how modern LLM/VLM systems are trained and scaled - Proven experience setting up and scaling distributed training across hundreds of

  • Data Architect, Robotics

    Palo Alto, California, United States

    unspecified Salary not disclosed

    Data Architect, Robotics Palo Alto, California, United States The Role At Mind Robotics, we're building generalized physical AI -robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. High-quality data is the foundation of everything we do, from training core models to evaluating real-world performance. We're looking for a Data Architect to design and build our data engine - enabling scalable data pipelines, high-quality datasets, and fast iteration across modeling and robotics teams. What You'll Do - Design and implement scalable pipelines for collecting, processing, and preparing data for model training - Partner closely with modeling teams to ensure data is structured for maximum training velocity - Develop systems for data storage, retrieval, and workflow orchestration - Manage cloud compute and infrastructure supporting large-scale data processing - Enable tight feedback loops between data, models, and real-world performance - Design systems for automated data validation, quality control, and labeling workflows - Improve consistency, reliability, and scalability of datasets - Build pipelines and tools for querying, visualizing, and analyzing large datasets - Continuously improve data pipelines to reduce bottlenecks and latency What We're Looking For - Proven experience building scalable data pipelines and infrastructure - Deep understanding of data processing, storage, and workflow orchestration - Experience working across the full data lifecycle: ingestion, processing, validation, and dataloading - Ability to design systems that support both training and evaluation needs - Experience managing cloud-based data infrastructure and compute workflows - Familiarity with large-scale data processing systems - Experience building or