GRAM (gramcorporation.com) Logo

GRAM (gramcorporation.com)

Staff Robotics Systems Engineer

Posted 5 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in CA, USA
180K-220K Annually
Entry level
In-Office or Remote
Hiring Remotely in CA, USA
180K-220K Annually
Entry level
Own the architecture and integration of onboard sensing, compute, communications, power, data interfaces, timing, calibration, and software pathways for autonomous insectoid robots. Select and integrate sensors, embedded boards, compute modules, harnesses, and middleware; define interface contracts; characterize timing and latency; and diagnose hardware-software faults involving communications, power, thermal behavior, calibration, and mechanical alignment. Write C++ or Python integration code and maintain compatibility and calibration records.
The summary above was generated by AI
The Mission

GRAM is a self replication company creating populations of insectoids for the physical economy.

Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will survive, coordinate, and recover without humans. We believe scalable machine labor requires more than single-agent task generality or machines shaped in our image.

About the role

You will own the architecture and integration of the onboard subsystems that let an insectoid sense, compute, communicate, and expose its state. Your scope spans cameras, lidar and ranging sensors, IMUs, encoders, contact and force sensors, compute modules, embedded boards, power and data interfaces, buses, networks, timing, calibration, harness interfaces, and the software pathways connecting them.

This is a hardware-centered role with real software responsibility. You will own subsystem selection, interface compatibility, integration configuration, and measured interaction across onboard sensing, compute, and communications.

What you will do
  • Define the onboard sensing, compute, and communications architecture, including sensor coverage, compute placement, network topology, power allocation, and subsystem partitioning.
  • Select cameras, lidar and ranging sensors, IMUs, encoders, contact and force sensors, compute modules, and interface devices against field of view, accuracy, rate, latency, bandwidth, power, thermal, environmental, and packaging constraints.
  • Define and maintain mechanical, electrical, and software interface contracts across mounts, alignment datums, connectors, pinouts, power rails, buses, network protocols, coordinate frames, data schemas, and configuration parameters.
  • Establish end-to-end timing, timestamping, synchronization, latency, bandwidth, and calibration chains across sensing, compute, embedded nodes, and downstream consumers.
  • Integrate released boards, sensors, compute, harnesses, mounts, drivers, middleware, configuration, and telemetry into working onboard subsystems, writing C++ or Python integration code where required.
  • Diagnose interaction faults such as dropped frames, clock drift, bus saturation, power transients, grounding noise, calibration mismatch, thermal throttling, connector intermittency, and configuration incompatibility.
  • Maintain a versioned compatibility and calibration record that connects each subsystem configuration to its firmware, drivers, physical interfaces, measured timing, and known limitations.
Minimum qualifications
  • Bachelor's degree in robotics, electrical, computer, mechanical, aerospace engineering, or a related field, or equivalent demonstrated technical ability.
  • Integrated a multi-sensor robot, vehicle, aircraft, or comparable embedded machine containing custom hardware and real-time software.
  • Selected and integrated cameras, lidar or ranging sensors, IMUs, encoders, force or contact sensing, compute modules, or comparable onboard subsystems using quantitative requirements and interface documentation.
  • Proficiency in C++ or Python on Linux, with experience in device integration, structured telemetry, calibration, and at least one real-time bus or network such as CAN, EtherCAT, Ethernet, or SPI.
  • Diagnosed a measured hardware-software integration problem involving timing, synchronization, power integrity, communications, calibration, thermal behavior, or mechanical alignment using logs and bench instruments.
Preferred experience
  • Multi-camera or lidar systems, hardware timestamping, time synchronization, intrinsic and extrinsic calibration, or sensor-to-compute latency characterization.
  • ROS 2, real-time Linux, high-bandwidth sensor pipelines, distributed embedded systems, or resource-constrained onboard compute.
  • Reading schematics, harness drawings, mechanical drawings, and datasheets while working with oscilloscopes, logic analyzers, bus analyzers, and data-acquisition equipment.

The annual base salary range for this San Francisco Bay Area position is $180,000–$220,000. Health coverage, benefits, and generous equity come with the role. This role is on-site in the San Francisco Bay Area. A relocation bonus is available. We hire to start as soon as possible. We review what you’ve shipped; if it’s the caliber we seek, interviews take about a week, start to finish. We treat your work and conversations with discretion.

Similar Jobs

Expert/Leader
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Defines visual and technical material standards for an AAA open-world game. Develops master materials, shader systems, and scalable real-time pipelines for environments, characters, props, and procedural content. Collaborates with art, technical art, and engineering teams to solve rendering and performance challenges. Establishes quality benchmarks, validates implementations, and advances automation, R&D, and AI-assisted workflows across platforms.
Top Skills: Ai-Assisted WorkflowsMaster MaterialsPbrProcedural MaterialsReal-Time RenderingShadersSubstance DesignerSubstance PainterUnreal EngineUnreal Engine 5
Yesterday
Remote or Hybrid
CA, USA
136K-245K Annually
Senior level
136K-245K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Leads strategic finance for Commerce go-to-market, partnering with revenue leaders on annual planning, forecasting, performance management, investment analysis, resource allocation, and commercial strategy. Builds driver-based financial models connecting sales and operational metrics to financial outcomes, evaluates investments across commercial functions, prepares executive materials, and manages finance team members.
Top Skills: AIPythonSQL
Yesterday
In-Office or Remote
3 Locations
101K-251K Annually
Senior level
101K-251K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Provides advanced technology consulting and technical leadership for enterprise solutions across networks, applications, and platforms. Designs, implements, migrates, and troubleshoots complex technology environments; leads consultants and delivery teams; develops proposals and supports sales activities. Advises customers and internal teams, shapes technical strategy, manages requirements and solution architecture, creates reusable knowledge, and identifies new business opportunities.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account