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Field Technician
Mind Robotics · Normal, IL, United States
Pay
$20k–45k
Setting
On-site
Listed by Mind Robotics for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Staff Technical Program Manager, Robotics Systems
Mind Robotics · Palo Alto, California, United States
Pay
Not listed
Setting
On-site
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.
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Robot Operator
Mind Robotics · Palo Alto, California, United States
Pay
$50k–55k
Setting
On-site
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.
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