Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
About the Role
We are looking for a hands-on Mechanical Design Engineer to lead the physical design, material selection, and integration of our next-generation tactile sensing systems that allows our robots to feel, manipulate, and interact with the physical world in real time. In this role, you will bridge the gap between hard mechanical architecture and soft, compliant material interfaces, building robust sensory "skins" for robotic hands, grippers, and contact-rich interfaces.
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 systems, sensors, or tactile/haptic devices.
Direct experience with at least one tactile sensing modality — capacitive, resistive, optical/vision-based, magnetic, , piezoelectric, MEMS, or barometric.
Strong materials intuition, particularly with elastomers - hands-on experience with casting, molding, surface treatments, and characterization.
Familiarity with rapid prototyping techniques such as 3D printing, machining, soft lithography, etc.
High proficiency in SolidWorks, Catia, or similar CAD tools.
Hands-on problem-solving approach with ability to iterate quickly.
Experience designing for volume processes (injection molding, casting, 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.
Bonus
PhD or research experience in tactile / haptic sensing, soft robotics, or contact-rich manipulation.
Experience designing sensor characterization rigs and analyzing the resulting data.
Working knowledge of sensor electronics and analog front-ends sufficient to collaborate deeply with EE.
Prior work on humanoid hands, dexterous grippers, or prosthetics.
Listed by Mind Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
126 days ago
Safety Engineer
Mind Robotics · Palo Alto, California, United States
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
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 engineering decisions..
Qualifications
5–10 years of safety engineering experience on industrial robots, collaborative robots, AGVs/AMRs, or comparable machinery.
Deep working knowledge of ISO 13849, IEC 62061, IEC 61508, and ISO 10218 (or ANSI/RIA R15.06); familiarity with ISO/TS 15066 for collaborative applications.
Software safety experience (IEC 61508-3) in addition to systems-level work.
Hands-on experience taking a product through safety certification — not just supporting it, but owning the technical narrative and defending it to assessors.
Comfort with the full toolkit: FMEA, FTA, HAZOP, STPA, and the judgment to know which to reach for.
A creative mindset. Standards rarely dictate components; they dictate outcomes. We want someone who can architect a novel solution, justify it against the standard's intent, and convince a notified body it meets the bar.
Strong communication — you'll be explaining safety tradeoffs to executives, engineers, and external assessors who all need different versions of the same story.
Listed by Mind Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
127 days ago
Actuation Engineer, Motor Design
Mind Robotics · Palo Alto, California, United States
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
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 equivalent experience.
Strong electromagnetic simulation skills using tools such as Ansys Maxwell, Motor-CAD, or equivalent, including 2D/3D FEA and parametric studies.
Deep understanding of electric machine fundamentals: torque production, winding design, magnetic materials, losses, thermal limits, and control interactions.
Experience taking at least one custom motor from concept through prototype and test.
Either (a) proficiency in mechanical CAD (CATIA, NX, or similar) to produce your own motor mechanical designs, or (b) demonstrated experience working closely with suppliers and mechanical engineers to deliver manufacturable motor assemblies.
Listed by Mind Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
156 days ago
Electrical Design Engineer
Mind Robotics · Palo Alto, California, United States
Electrical Design Engineer
Location
Palo Alto
Employment Type
Full time
Location Type
On-site
Department
Hardware Engineering
Overview
Application
About Mind
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
About the Role
We're seeking a hands-on Electrical Design Engineers to design, build, and scale complex electrical systems. In this role, you will own the full design lifecycle—architecting boards, debugging prototypes in the lab, and working directly with manufacturers to bring high-reliability robots to market at scale.
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.
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.
Apply for this Job
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Listed by Mind Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
156 days ago
Mechanical Design Engineer
Mind Robotics · Palo Alto, California, United States
Mechanical Design Engineer
Location
Palo Alto
Employment Type
Full time
Location Type
On-site
Department
Hardware Engineering
Overview
Application
About Mind
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
About the Role
As a Mechanical Design Engineer, you will lead the end-to-end design and development of complex electromechanical hardware and robotic systems. Working in a fast-paced environment, you will rapidly build, test, and iterate on prototypes using 3D printing, CNC machining, and hands-on fabrication. You’ll leverage your deep mechanical intuition to perform core structural, thermal, and tolerance analyses while ensuring designs scale seamlessly through rigorous DFM/DFA practices. Collaborating closely with cross-functional software and electrical teams, machine shops, and contract manufacturers, you will turn ambiguous technical challenges into reliable, high-volume production hardware.
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.
Apply for this Job
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Engineering
226 days ago
Data Architect, Robotics
Mind Robotics · Palo Alto, California, United States
Robotics Software Engineer
Location
Palo Alto
Employment Type
Full time
Location Type
On-site
Department
Software Engineering
Overview
Application
About Mind:
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
About the team and 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.
Requirements:
Strong experience building robotics software systems and middleware.
Experience designing and building runtime systems, execution frameworks, or middleware layers.
Strong understanding of distributed systems and communication patterns in robotics.
Experience working with real-time constraints and performance-critical systems.
Strong proficiency in Python programming.
Familiarity with robotics middleware frameworks (e.g., DDS, Zenoh, ROS2).
Experience with containerization, CI/CD, and codebase management at scale.
Ability to design clean abstractions and APIs for internal users.
Experience building tools or interfaces for operators or engineers.
Nice to Have:
Background in building operator tools or robotics UIs.
Experience supporting ML-driven robotic systems.
Apply for this Job
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Engineering
226 days ago
Research Engineer
Mind Robotics · Palo Alto, California, United States
Research Engineer
Location
Palo Alto
Employment Type
Full time
Location Type
On-site
Department
Software Engineering
Overview
Application
About Mind:
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
About the team and 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 Research 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.
Requirements:
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 GPUs.
Strong understanding of parallelization strategies (data, model, pipeline parallelism).
Strong proficiency in Python programming.
Expert-level proficiency in PyTorch and/or JAX.
Strong understanding of techniques like attention optimization, kernel fusion, and efficient memory usage.
Nice to Have:
Experience supporting inference systems in production.
Familiarity with robotics or embodied AI workloads.
Experience building tools for experiment management and researcher productivity.
Apply for this Job
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