Robotics Integration Engineer

CX2

$150K — $160K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong programming skills in C++ and/or Python
  • Experience with containerization and DevOps practices for robotics (e.g., Docker, CI/CD)
  • Experience with Linux systems programming
  • Solid understanding of networking fundamentals, including transport protocols and latency
  • Experience with robotics middleware and communication frameworks, such as ROS/ROS2
  • Experience integrating and working with real hardware systems
  • Strong understanding of concurrency and performance-critical system design

Responsibilities

  • Integrate sensors and robotics subsystems across various workflows
  • Design and maintain reliable data pipelines and communication frameworks
  • Optimize system performance across CPU, GPU, memory, and network resources
  • Build robust networking solutions for challenging environments
  • Deploy and maintain software on embedded and edge platforms
  • Implement observability and validation tools for operational reliability
  • Ensure systems degrade gracefully under adverse conditions

Benefits

  • Competitive salary, stock options and comprehensive health benefits
  • 401K enrollment after 90 days
  • Generous PTO and most Federal Holidays observed
  • Collaborative and inclusive work environment
  • Access to the latest tools and technologies
  • High levels of responsibility and autonomy
  • Professional growth and development opportunities
  • Engagement with complex problems in electronic warfare
Full Job Description
CX2 is seeking a highly skilled Robotics Integration Engineer to join our growing team.

This role requires an onsite presence in our El Segundo, CA HQ; a remote work environment is not considered for this opportunity.

Key Responsibilities

  • Integrate sensors, onboard compute, and distributed robotics subsystems across perception, control, logging, and ML workflows
  • >
  • Design and maintain reliable data pipelines, middleware interfaces, and communication frameworks for distributed robotic systems operating over high-latency or constrained networks.
  • >
  • Optimise system performance across CPU, GPU, memory, storage, and network resources
  • >
  • Build robust networking solutions for unreliable, bandwidth-constrained, or multi-robot environments
  • >
  • Deploy and maintain software on embedded and edge platforms using reproducible environments, containerisation, and CI/CD workflows
  • >
  • Implement observability, testing, and validation tools to support debugging, field testing, and operational reliability
  • >
  • Ensure systems degrade gracefully under high load, intermittent connectivity, or partial failure conditions
  • >


Required Qualifications

  • Core
    • Strong programming skills in C++ and/or Python
    • >
    • Experience with containerization and DevOps practices for robotics (e.g., Docker, CI/CD)
    • >
    • Experience with Linux systems programming
    • >
    • Solid understanding of networking fundamentals, including transport protocols, latency, throughput, and reliability trade-offs.
    • >
    Robotics / Systems
    • Experience with robotics middleware and communication frameworks, such as ROS/ROS2, DDS-based systems, or modern pub/sub alternatives.
    • >
    • Experience integrating and working with real hardware systems (beyond simulation)
    • >
    • Familiarity with embedded platforms (e.g., NVIDIA Jetson, FPGA, RTOS)
    • >
    Performance Engineering
    • Strong understanding of concurrency, memory management, performance-critical system design
    • >
    • Experience profiling and optimizing systems (e.g., perf, Valgrind, tracing tools)
    • >


Bonus Points

  • Hands-on experience with multicopter drones and their autopilot systems (e.g., PX4, ArduPilot)
  • >
  • Experience with simulations stacks such as Isaac Sim or Gazebo
  • >
  • High-throughput data (video, radar, RF/IQ streams)
  • >
  • Zero-copy and shared memory techniques
  • >
  • GPU pipelines (CUDA, TensorRT)
  • >
  • Edge-to-cloud architectures
  • >
  • Knowledge of time synchronization (PTP, NTP, clock drift handling) and distributed systems design patterns
  • >
  • Exposure to: SLAM / perception pipelines and ML inference systems in production
  • >


ITAR Regulations

  • To conform to U.S. Government export regulations, applicant must be a US Citizen, Green Card holder, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.


What We Offer

  • Competitive salary, stock options and benefits, including health, vision and dental.
  • 401K enrollment at 90 days.
  • Generous PTO + most Federal Holidays observed.
  • Collaborative and inclusive work environment.
  • Access to the latest tools and technologies.
  • High levels of responsibility and autonomy.
  • Professional growth and development opportunities.
  • Access to the hardest problems in electronic warfare.


$150,000 - $160,000 a year

Exact compensation may vary based on skills and experience.

Our systems are deployed in the most contested operational environments in the world. We're backed by leading venture investors in the defense ecosystem and led by founders with track records at Meta, SpaceX, Epirus, and the U.S. Department of Defense.

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