Job description

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] Job Title: Electrical Engineer Department: Hardware Employment Type: Full-Time Location: Houston, TX Travel: 10% WHO WE ARE Persona AI is building humanoid robots for the most demanding environments in heavy industry — shipyards, steel mills, fabrication facilities, and offshore platforms — performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff. We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world’s leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale. WHY JOIN PERSONA AI? - We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd. - You’ll shape technology that’s redefining the possibilities of robotics and human interaction. - Work alongside passionate teammates who value creativity, and continuous learning. ABOUT THE ROLE We're looking for an Electrical Engineer to help design our most space and performance-constrained electronics. We are looking for someone who can start from an idea, help devise an architecture, draw a clean schematic, create libraries when needed, lay out the PCB, send it to fab, and help bring it up when it gets delivered. That loop often can be closed in less than one week for simple designs, so speed is a must. You should be comfortable with uncertainty, confident enough in your fundamentals to know what rules can be broken, and driven to find the answer faster. You'll get to help make the impossible package possible: chip-scale silicon, blind/buried vias, board-to-board stacks, and rigid-flex assemblies operating in tight electromechanical envelopes alongside motors, sensors, mixed signals, and power electronics. If you've helped ship high-density electronics at scale and now want to apply that craft to robots that walk, manipulate, and reason about the physical world, we'd love to hear from you. WHAT YOU WILL BE DOING - Help design and support the hardware architecture of tightly integrated PCBAs and rigid-flex circuits for actuators, sensors, perception, and compute subsystems across the robot. - Push the limits of density: support component selection, stackups, and layout for power management and motor control, sensors, and communication with chip-scale packages (BGA, WLCSP, 0201/01005 passives), blind/buried vias, HDI, and board-to-board interconnects. - Co-design with mechanical engineers to fit electronics into volumes that don't yet exist on a CAD model, including 3D rigid-flex routing and connector placement. - Support mixed-signal subsystems spanning analog sensing (force, current, position, tactile), power delivery (point-of-load, isolated rails, motor drive), and high-speed digital (multi-Gbps SerDes, GMSL/MIPI, EtherCAT, CAN-FD, USB, Ethernet). - Contribute to signal and power integrity work: pre-layout SI/PI analysis, return-path planning, decoupling strategy, thermal analysis, and EMI/EMC-aware layout to help boards work on first pass. - Bring up boards: debug with scope and logic analyzer; close the loop on layout choices with measured data. - Partner with manufacturing: interface with EMS partners and fab houses on stackup, impedance control, DFM/DFA/DFT, yield, and ramp. - Follow and help refine schematic, library, and layout conventions that scale to a fast-moving team without accumulating technical debt. - Collaborate with firmware and software to ensure the board enables rather than constrains the control stack. WHAT WE ARE LOOKING FOR: - Bachelor's degree (advanced degree a plus) in Electrical Engineering or a related field. - 5+ years of industry experience designing and shipping production electronics (3+ with advanced degree). - Experience designing and bringing up highly integrated PCBAs and flex/rigid-flex assemblies in shipped consumer or industrial electronics, robotics, automotive, medical, or similar high-volume, tightly integrated products. - Hands-on experience designing circuits with chip-scale packaging (BGA, WLCSP, fan-out), HDI techniques (microvias, blind/buried vias, stacked/staggered vias, sequential lamination), and fine-pitch, miniature passive placement. - Proficiency with a modern ECAD tool (KiCAD, Altium, Cadence Allegro), including constraint-driven layout for HDI and high-speed signals. - Solid fundamentals in mixed-signal design: low-noise analog sensing, power conversion, and high-speed digital — and the discipline to keep them from interfering with each other. - Experience with high-speed and embedded communication protocols (EtherCAT, CAN-FD, SPI, I2C/I3C, USB, MIPI, Ethernet/RGMII, RS485). - Experience integrating or designing sensitive analog sensors and components (strain gauges, capacitive sensors, hall-effect, etc.). - Lab fluency: you reach for the scope before the simulator, and you trust your measurements. - Comfortable writing and reviewing embedded C to bring up new boards, write device drivers, and support embedded code. - Experience using Gitlabs for revision control and reviews. BONUS SKILLS: - Experience in robotics, autonomy, or real-time motion control systems. - Background in consumer or industrial electronics at scale: wearables, AR/VR, smartphones, or similar space-constrained, cost-sensitive, high-volume products. - Experience designing for motor drive and BLDC/PMSM control, including current sensing, gate drive, and FOC-friendly layout. - Experience designing with high-speed microcontrollers (ARM, STM32, TI, NXP) that use internal as well as external memory interfaces (EEPROM, SDRAM, Flash). - Battery and power systems: battery management, charger design, multiphase converters, isolated topologies. - Experience with simulation and analysis tools: HyperLynx, ADS, Sigrity, Ansys, LTspice, or similar SI/PI/EMI workflows. - Familiarity with compliance and safety standards: FCC, CE, UL, CSA, ISO 13849, IEC 61508, ISO 26262. - Control systems: experience bringing up robotic actuation systems and tuning controls. - Industrial experience designing to IPC Class 2 or 3 design standards. - Experience taking products through NPI and ramp with overseas EMS partners. - Exceptional attention to detail, engineering discipline, and bias toward action. Persona AI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Requirements

Must-haves

Job Title: Electrical Engineer
Department: Hardware
Employment Type: Full-Time
Location: Houston, TX
If you've helped ship high-density electronics at scale and now want to apply that craft to robots that walk, manipulate, and reason about the physical world, we'd love to hear from you.
Help design and support the hardware architecture of tightly integrated PCBAs and rigid-flex circuits for actuators, sensors, perception, and compute subsystems across the robot.
Co-design with mechanical engineers to fit electronics into volumes that don't yet exist on a CAD model, including 3D rigid-flex routing and connector placement.
Contribute to signal and power integrity work: pre-layout SI/PI analysis, return-path planning, decoupling strategy, thermal analysis, and EMI/EMC-aware layout to help boards work on first pass.
Bring up boards: debug with scope and logic analyzer; close the loop on layout choices with measured data.
Partner with manufacturing: interface with EMS partners and fab houses on stackup, impedance control, DFM/DFA/DFT, yield, and ramp.
Follow and help refine schematic, library, and layout conventions that scale to a fast-moving team without accumulating technical debt.
Collaborate with firmware and software to ensure the board enables rather than constrains the control stack.
5+ years of industry experience designing and shipping production electronics (3+ with advanced degree).
Proficiency with a modern ECAD tool (KiCAD, Altium, Cadence Allegro), including constraint-driven layout for HDI and high-speed signals.
Solid fundamentals in mixed-signal design: low-noise analog sensing, power conversion, and high-speed digital — and the discipline to keep them from interfering with each other.
Experience with high-speed and embedded communication protocols (EtherCAT, CAN-FD, SPI, I2C/I3C, USB, MIPI, Ethernet/RGMII, RS485).
Experience integrating or designing sensitive analog sensors and components (strain gauges, capacitive sensors, hall-effect, etc.).
Lab fluency: you reach for the scope before the simulator, and you trust your measurements.
Comfortable writing and reviewing embedded C to bring up new boards, write device drivers, and support embedded code.
Experience using Gitlabs for revision control and reviews.
Experience in robotics, autonomy, or real-time motion control systems.
Background in consumer or industrial electronics at scale: wearables, AR/VR, smartphones, or similar space-constrained, cost-sensitive, high-volume products.
Experience designing for motor drive and BLDC/PMSM control, including current sensing, gate drive, and FOC-friendly layout.

Nice-to-haves

Bachelor's degree (advanced degree a plus) in Electrical Engineering or a related field.

Application prep

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Keywords to mirror

Platform: ashby
Effort: quick

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