Skip to main content

1X

Senior Software Engineer - Robotic Controls

San Carlos, California, United States

Location
San Carlos, California, United States
Work
On-site
Employment
Full-time
Level
Senior
Function
Engineering
Pay
$200K – $300K a year
Posted
3 months ago

Pay and the market here

The top of this role’s range, $300K a year, is 36% above the median of $220K for senior engineering jobs in San Carlos (middle half $200K – $230K, 48 jobs that state pay).

119 engineering jobs open in San Carlos: 0% remote, 44 posted in the last 30 days.

Wondering how well you fit this one? OptiTalent Career checks each requirement against your own record, privately. About OptiTalent Career →

About the role

About 1X

We're building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it's not.

To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you're inspired by this, you'll thrive here. We've been at this since 2014 and we're at the point where the hard problems are behind us and the hard work is in front of us.

NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We're not demoing it - we're shipping it. We're excited to meet you, if this excites you.

If you've spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We're scaling, we're hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.

About the Team

The Motion team enables NEO to move through and interact with the world. We build the perception NEO needs to understand its surroundings and locomote through any environment, and the control that lets it use its whole body to accomplish real tasks - crawling, bracing, climbing, lifting with more than just its arms. Because NEO operates around people, safe and compliant motion is a design constraint on everything we ship, not a feature layered on top.

Your Charter

Build the foundation that NEO's whole-body control and manipulation strategies stand on. You will own state estimation, kinematics and robot models, system identification, and the sensor and signal conditioning underneath them, and define the interfaces the rest of the motion stack is built on. When a controller or a learned policy commands NEO, it is your estimates, models, and limits that it is trusting.

Key Outcomes

  • State Estimation: Ship floating-base pose and velocity, joint state, contact, and force/torque estimation that holds up through sensor noise, sensor dropout, and ambiguous contact signals.
  • Kinematics and Robot Models: Own the robot models, frames, inverse kinematics, and command trajectory generation that downstream consumers resolve against, exposed through real-time-safe APIs and bindings.
  • System Identification: Characterize actuators, tendons, and transmissions - friction, cogging, stiffness, slack, stretch - so models track real hardware unit to unit instead of being tuned around.
  • Sensing and Signal Conditioning: Run sensor and modality trade studies for state estimation, then own the path from raw sensor to trusted signal - filtering, anti-aliasing, validity checks, temporal consistency.
  • Diagnostics and Fault Response: Build the monitoring, limits, and fault reactions that let a robot detect a degraded joint or a thermal limit and degrade safely rather than fail unpredictably.
  • Calibration and Bring-Up: Partner with production and service teams so calibration and bring-up procedures are correct, implemented, and actually followed across the line, the field, and each new robot generation.

Key Competencies

  • State Estimation Depth: Designs and tunes filters and observers against real sensor data, reasoning about bias observability, innovation gating, and graceful degradation when a sensor drops out.
  • Comfort with Uncertainty: Builds estimators and models that hold up across a fleet where every robot differs and drifts, and quantifies confidence rather than assuming a golden unit.
  • Kinematics and Dynamics: Fluent in rigid body kinematics, frame conventions, and robot modeling, and comfortable working through model libraries and URDF-based pipelines.
  • Signal and Systems Instinct: Treats bandwidth, latency, aliasing, noise, and loop timing as first-class design constraints rather than tuning knobs discovered late.
  • Root-Cause Analysis: Digs through logged robot data to find why something actually failed, and works with the mechanical and electrical teams to separate software faults from hardware ones.
  • Technical Direction: Sets the approach for a problem area, defends tradeoffs across sensing, actuation, and compute, and partners with the hardware teams upstream and the teams consuming it downstream.

Minimum Requirements

  • Proven track record of shipping state estimation or control software on physical robots or comparable electromechanical systems
  • Deep experience implementing and tuning state estimators such as EKF, UKF, invariant, or complementary filters against real, noisy sensor data from hardware that varies unit to unit
  • Strong applied foundation in rigid body kinematics, frame transforms, and inverse kinematics and dynamics
  • Hands-on experience with system identification and calibration of actuators, transmissions, or sensors
  • High proficiency writing production-quality real-time C++ on Linux, with Python for tooling and analysis
  • 5+ years of relevant industry experience, or an advanced degree plus equivalent hands-on experience

Preferred Skills

  • Background in tendon-driven or cable-driven actuation and dexterous end-effectors, including slack, stretch, and non-collocated sensing
  • Experience with optimal control methods such as convex optimization, model predictive control, or trajectory optimization
  • Experience fusing exteroceptive estimation such as visual-inertial odometry into a floating-base estimator
  • Familiarity with real-time transport and fieldbus protocols such as EtherCAT or CAN
  • Hands-on experience bringing up robot hardware from scratch, or working closely with firmware and electrical teams at the hardware-software boundary

Compensation

  • Salary Range: $200,000 - $300,000 + Equity

Benefits

  • Comprehensive medical, dental, and vision coverage
  • Generous paid time off, company holidays, and parental leave
  • 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
  • Commuter benefits (transit and parking)
  • Short-term and long-term disability, and life insurance
  • Employee Assistance Program (EAP) for mental health, financial, and personal support
  • Onsite snacks and catered lunches

Equal Opportunity Employer

1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.

Source

Posted by 1X on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 10:48 UTC; the original is the reference.

View the original ad ↗

More at 1X

  • 1X · San Carlos, California, United States

    On-siteFull-timeLead / staff$190K – $230K a yearEngineering

    You’ll work with all of the teams that write software for the robot, from firmware to Companion to AI, and own the one schedule that turns plans into reality. You’ll coordinate closely with the hardware teams to make sure our roadmaps converge to robots that we ship.

  • 1X · San Carlos, California, United States

    On-siteFull-timeMid level$150K – $190K a yearEngineering

    The Firmware team owns the embedded software on every hardware subsystem in NEO: communication architecture, power management and motor control. That firmware is what lets NEO move safely, take on new hardware quickly and scale across many embedded nodes, and it gates our…

  • 1X · San Carlos, California, United States

    On-siteFull-timeExecutive$320K – $335K a yearFinance

    Finance funds and tracks everything it takes to put NEO in the world: research, manufacturing, and a global supply chain. The team gives leadership and the Board an accurate picture of where money goes and what it buys. As 1X moves from building robots to shipping them at…

  • CAD Sculptor

    9 days ago

    1X · San Carlos, California, United States

    On-siteFull-timeSenior$150K – $250K a year

    We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not.