AI Summary

Robotics Integration Engineer who designs, builds, and maintains sensor integration, data pipelines, and distributed robotics subsystems for perception, control, logging, and ML workflows on embedded/edge platforms.

About this role

CX2 is a next-generation defense technology company founded to deliver spectrum dominance for the United States and our allies. CX2’s AI-enabled hardware and software platforms detect, disrupt and defend the electromagnetic spectrum across land, air, sea and space domains.

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.

Skills

C++CI/CDConcurrencyCUDADDSDistributed SystemsDockerEdge-to-cloudEmbedded PlatformsFPGALinuxMemory ManagementML InferenceNetworkingNTPNVIDIA JetsonPerception PipelinesPerfPerformance ProfilingPTPPub/SubPythonROSROS2RTOSSLAMTensorRTTime SynchronizationTracing ToolsValgrind

Robotics Integration Engineer