Senior Staff Technical Program Manager, Robotics Systems
Location
Palo Alto
Employment Type
Full time
Location Type
On-site
Department
Operations
Overview
Application
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 Program Management
Manage the complexity of our electromechanical system: part-level ownership, supplier lead times, sourcing strategies, and DVT/EVT iteration cycles.
Build and maintain a rigorous parts and supplier tracking system — ensuring every component on the critical path has an owner, a plan, and a fallback.
Partner closely with the hardware lead to translate design decisions into program-level implications across the full stack.
Proactively model the downstream impact of hardware iteration loops on software readiness and data collection timelines.
Hardware-Software Integration
Own the integration checkpoints where hardware and software must converge — defining the criteria, the owners, and the escalation path when they don't.
Ensure software feature development is sequenced against hardware availability; prevent decoupled roadmaps from creating surprise dependencies.
Drive alignment on platform commitments — gripper design, sensing modalities, actuation systems — so that data collection and model training are never blocked by an unresolved hardware decision.
Roadmap & Milestone Execution
Translate high-level product goals into a detailed, dependency-mapped roadmap with clear ownership at every stage.
Define and track the program milestones that matter: hardware readiness gates, data collection launch criteria, model deployment checkpoints, and fleet scale targets.
Hold the team accountable to commitments without creating bureaucratic drag — this is a role about velocity, not process for its own sake.
Qualifications
10+ years in technical program management, with significant experience owning hardware-software integrated systems at a senior IC level.
Proven track record managing complex electromechanical programs through full development cycles — from early prototype through production or scaled deployment.
Deep instincts around hardware lead times, supplier management, and the downstream program implications of physical iteration cycles.
Experience in robotics, autonomous systems, automotive (EV/software-defined vehicle), semiconductor systems, or adjacent deep tech hardware industries.
Exceptional cross-functional operator: known for bringing clarity to ambiguous programs, not adding process overhead.
Strong technical foundation — comfortable engaging directly with mechanical, electrical, and software engineers at a level of depth that earns credibility.
Startup builder mentality: you create structure from ambiguity, own outcomes end-to-end, and move with urgency.
Experience scaling hardware systems from 0 to meaningful fleet deployment is a strong plus.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Mind Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
114 days ago
Thermal Design Engineer
Mind Robotics · Palo Alto, California, United States
Thermal 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 Thermal Design Engineer at Mind Robotics, you will own the thermal architecture and analysis for our industrial robots, from high-torque actuators and constrained end effectors to dense on-board compute. You will build high-fidelity CFD/FEA models and validate them through hands-on testing, environmental stress, and hardware instrumentation. Working from concept through volume production, you will design scalable cooling solutions like heat sinks, vapor chambers, and TIMs using manufacturing processes like die casting and extrusion. Collaborating closely with electrical, firmware, and controls teams, you will turn complex thermal challenges into high-performance, real-world Physical AI systems.
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: high-torque-density motors / actuators, dense power electronics, or compute (CPU / GPU / custom accelerator).
Comfortable instrumenting, testing, and debugging thermal performance on real hardware.
Experience designing for volume processes (extrusion, die casting, brazing, stamping) and working with thermal component suppliers and contract manufacturers.
High proficiency in SolidWorks, Catia, or similar CAD tools.
Hands-on problem-solving approach with the ability to iterate quickly.
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
Experience in robotics, prosthetics, EV powertrains, drones, or other dense electromechanical systems.
Familiarity with motor / actuator thermal modeling (winding hot-spot estimation, lumped-parameter networks).
Experience with liquid cooling or hybrid air / liquid systems.
PhD or research experience in thermal sciences.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Mind Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
114 days ago
Mechanical Design Engineer, Tactile Sensing
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 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.
AI
114 days ago
Robot Operator
Mind Robotics · Palo Alto, California, United States
Robot Operator
Location
Palo Alto
Employment Type
Full time
Location Type
On-site
Department
Operations
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.
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. 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 the one who teaches it.
Own data quality. You'll spot-check collected episodes, flag bad data before it hits training, and partner with the AI team on what's working and what isn't. You're the closed-loop signal between what we collect and what the models actually learn.
Run the floor. Daily collection planning, shift coordination, equipment readiness, robot uptime, safety incidents — the operations rhythm runs through you. You'll work cross-functionally with AI, hardware, and safety to keep collection unblocked.
Improve the process. Cycle time, take success rate, hours-to-usable-data, operator ramp time — you'll instrument these and push them in the right direction.
Qualifications
3–6 years in a hands-on operational role where physical skill, repeatability, and judgment all mattered — robotics teleoperation, motion capture, simulation/VR studios, surgical robotics, drone operations, stunt work, advanced manufacturing, professional gaming/esports coaching, or similar.
Demonstrated experience writing SOPs, training materials, or operator certifications that other people actually used — not just personal notes.
Track record of training or mentoring peers, even informally. You can teach a physical skill, not just perform it.
Excellent physical coordination, spatial awareness, and stamina.
Master new physical tasks quickly and can articulate why one approach beats another.
Strong written communication — your SOPs should be clear enough that a new operator can follow them on day one.
Comfortable giving and receiving direct feedback. The job is partly quality control; tact and honesty both matter.
Thrives in an early, fast-moving environment where the process you wrote last month gets rewritten this month.
Prior experience with humanoid or mobile-manipulation robots, VR/AR teleoperation rigs, or motion capture stages. (Preferred)
Familiarity with data-collection pipelines for ML — what makes a demonstration usable vs. noise. (Preferred)
Light scripting or tooling experience (Python, basic shell) for logging, tagging, or QA workflows. (Preferred)
Background in athletic coaching, physical therapy, martial arts instruction, or another domain where teaching motor skill is the job. (Preferred)
Experience running shifts or coordinating small teams in a regulated or safety-sensitive environment. (Preferred)
Logistics
On-site at Mind Robotics in Palo Alto. Flexibility across shifts including occasional nights and weekends as collection demands.
Travel up to ~20%, ranging from day trips to multi-week offsite collection stays.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
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.
Supply Chain
140 days ago
Global Supply Chain Manager
Mind Robotics · Palo Alto, California, United States
Global Supply Chain Manager
Location
Palo Alto
Employment Type
Full time
Location Type
On-site
Department
Operations
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 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 against schedule risk
Identify single-source dependencies, long-lead-time components, and geopolitical risks; develop mitigation strategies including dual-sourcing and alternate qualification plans
Work hand-in-hand with mechanical, electrical, firmware, and industrial design teams — providing sourcing input on component selection, alternate parts, and make-vs-buy decisions early enough to actually influence outcomes
Qualifications
You've built supply chain at a startup before. You know what it means to operate without a playbook, move fast, and own outcomes end-to-end — not just manage a process someone else designed
Deep sourcing intuition — you understand supplier economics, manufacturing processes, and what drives cost at the component level
5+ years of experience in supply chain, procurement, or sourcing within hardware-intensive industries such as robotics, industrial automation, consumer electronics, aerospace, or automotive
Direct experience sourcing across multiple commodity categories — electromechanical components (motors, actuators), PCBs/PCBAs, injection-molded parts, machined metals, cameras/sensors, or connectors
Familiarity with manufacturing processes such as injection molding, die-casting, MIM, CNC machining, and SMT assembly
Strong negotiation skills with a track record of achieving competitive pricing and favorable terms with both domestic and international suppliers
Experience managing the transition from prototype/NPI builds to volume production, including tooling qualification and first-article inspection processes
Ability to read and interpret engineering drawings, 3D models, and technical specifications well enough to contribute meaningfully in design reviews and supplier technical discussions
Experience working with Chinese, Japanese, or Korean suppliers and contract manufacturers is a strong plus
You thrive in ambiguity, default to urgency, and have the drive to build — not just maintain
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
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
Powered by
Privacy PolicySecurityVulnerability Disclosure
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
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Mind Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Science
226 days ago
Research + Modeling
Mind Robotics · Palo Alto, California, United States
Research + Modeling
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 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.
Requirements:
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 (including robots).
Domain strength in at least one: robotics, VLA systems, or training LLMs/VLMs from scratch.
Strong Python proficiency.
Nice to Have:
Experience with dexterous manipulation or complex robotic tasks.
Experience deploying models in real-world, production environments.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Mind Robotics 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.