Spacer Robotics, Inc. Logo

Spacer Robotics, Inc.

Senior Robotics Software Engineer

Reposted One Month Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
140K-230K Annually
Senior level
In-Office
San Francisco, CA, USA
140K-230K Annually
Senior level
Design, implement, and maintain production robotics software across the autonomy stack including ROS-based control, sensor integration, motion planning, and embedded C++ systems. Work hands-on with hardware to debug, calibrate, and optimize robots for real-world construction environments and build production monitoring and diagnostics infrastructure.
The summary above was generated by AI

About the Company
Spacer Robotics is building autonomous, non-humanoid robotic systems to construct
infrastructure in extreme environments—from lunar bases to next-gen terrestrial job sites. Our
vision is to disrupt the $16 trillion global construction industry by pioneering a new Deep Tech
philosophy that blends robotics, AI, and systems engineering at the frontier.

About the Role
The role on-site in San Francisco, no remote candidates will be considered for this role. We build next generation of robots and interaction with hardware is a must.
We're seeking a Senior Robotics Software Engineer to join the core team building Spacer's
production-level robot. This is a highly hands-on, multidisciplinary role spanning the full
autonomy stack—from raw sensor data through perception, localization, planning, and control.

You'll be a technical self-starter who thrives with broad ownership, can make sound architectural
decisions independently, and is energized by building real systems on physical hardware in
unstructured environments. As an early hire, you'll shape our engineering culture and leave a
lasting mark on how our robots think, see, and move.

Responsibilities

As a Senior Robotics Engineer, you will be expected to be versatile, making key contributions to
a range of components in the Spacer software stack, including:

  • Robotics Software Stack: Develop and maintain our ROS-based control systems for
    real-time robotic motion and coordination for our rebar-tying robot GRID

  • Embedded Systems: Strong skills in C++ for embedded platforms, optimizing for
    reliability and low-latency

  • Sensor Integration: Interface with cameras, lidar, IMUs, and encoders to build robust
    perception and feedback loops

  • Hardware-Software Integration: Work closely with hardware engineers to debug,
    calibrate, and optimize the full system, including the construction tasks specific
    mechanisms

  • Motion Planning & Control: Implement kinematics, trajectory planning, and control
    algorithms for smooth, natural movement

  • Production-Ready Systems: Build the monitoring, diagnostics, and update infrastructure
    needed for manufacturing a high-volume product that is aimed at navigating the
    construction environment & outdoors temperatures and weather conditions.

Required:

  • 4+ years of professional software engineering experience

  • Strong C++ skills—you're comfortable with performance optimization, memory
    management, and debugging complex systems

  • Python proficiency for scripting, testing, and rapid prototyping

  • Experience with sensors, cameras, motors, or embedded systems in a professional
    context

  • Excellent debugging skills—you know how to track down issues across hardware,
    firmware, and software

  • High energy and enthusiasm for building physical products

  • Based in or willing to relocate to the San Francisco Bay Area. Our team works in-person which is essential for hardware development

Preferred:

  • ROS/ROS2 experience

  • Shipped a robotics product or worked on production robotic systems or similar (cars, automation of equipment, other robotics applications, etc)

  • Embedded development experience

  • Computer vision, sensor fusion, or perception experience
    Background in controls, kinematics, or motion planning

  • Experience working in high pace, early stage startups

Compensation
The U.S. base salary for this full-time position ranges from $140,000 to $205,000, based on experience and qualifications. The compensation package is competitive and benchmarked against Bay Area senior-level market rates, and includes meaningful early-stage equity.

Similar Jobs

7 Days Ago
Hybrid
Mountain View, CA, USA
153K-234K Annually
Senior level
153K-234K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Designs, develops, integrates, validates, and deploys AI-enabled robotic applications for industrial automation. Responsibilities include manipulation, perception, motion planning, computer vision, controls, simulation, VLA models, learned policies, sensor integration, calibration, force control, and hardware deployment. The role owns robotic software architecture and transitions systems from simulation and prototypes to production, collaborating across robotics, AI, controls, manufacturing, and plant-facing teams.
Top Skills: C++DockerEthernet/IpGitIso 10218Iso/Ts 15066LinuxLulaModbusMoveitNvidia Isaac LabNvidia Isaac SimNvidia OmniverseOmniverse ReplicatorOmplOnnx RuntimeOpc UaPlcsPythonPyTorchRmpflowRos 2Tensorrt
4 Days Ago
In-Office
Milpitas, CA, USA
165K-265K Annually
Senior level
165K-265K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics
Build and maintain software foundations for industrial robots, including shared interfaces, on-robot runtimes, fleet services, developer tools, deployment workflows, and reliability systems. Own substantial workstreams from design through deployment and improvement, collaborate across software and hardware teams, and at Staff level lead cross-team architecture and adoption.
Top Skills: C++GoLinuxPythonRos 2
10 Days Ago
In-Office
San Jose, CA, USA
180K-215K Annually
Senior level
180K-215K Annually
Senior level
Robotics • Manufacturing
Own the robotics simulation platform end to end, including vehicle, sensor, terrain, and environment models; ROS 2 integration; SIL/HIL testing; field-log replay; regression scenarios; CI automation; simulation metrics; synthetic data generation; and sim-to-real validation. Collaborate with perception, controls, ML, and platform teams to improve autonomy testing across agricultural and off-road environments.
Top Skills: BulletC/C++Ci/CdGazeboMujocoNvidia Isaac SimPhysxPythonRos 2

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account