Robotics Integration Engineer
CX2
El Segundo, CA, USA
USD 150k-160k / year + Equity
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.
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)
Strong understanding of concurrency, memory management, performance-critical system design
Experience profiling and optimizing systems (e.g., perf, Valgrind, tracing tools)
Robotics / Systems
Performance Engineering
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.
150000 - 160000 USD a year