Robotics Integration Engineer

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.