Job Description
Apex 2026 is pioneering the next generation of intelligent autonomous systems designed to redefine human interaction with the physical world. We are looking for a visionary Senior Robotics Engineer to join our elite engineering team and architect the software infrastructure for our next-generation robotic platforms. You will bridge the gap between cutting-edge AI algorithms and precision hardware control, driving innovation that shapes the future of automation.
At Apex 2026, we foster a culture of technical excellence and rapid iteration. You will have the autonomy to design complex control systems, mentor a talented team of developers, and directly influence the roadmap of our flagship products. If you are passionate about building scalable, real-time systems and want to work at the intersection of robotics and artificial intelligence, we want to hear from you.
Responsibilities
- Lead the architecture and implementation of real-time control systems for autonomous mobile robots and manipulators.
- Collaborate with cross-functional AI researchers to integrate perception models and decision-making logic into hardware control loops.
- Optimize software performance for edge computing environments, ensuring low-latency processing and high reliability.
- Design and validate sensor fusion strategies using LIDAR, cameras, and IMU data.
- Mentor junior engineers, conduct code reviews, and establish rigorous engineering standards.
- Debug complex issues in simulation and physical deployment, driving the continuous improvement of system robustness.
Qualifications
- Ph.D. or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related technical field.
- Minimum of 5+ years of professional experience in robotics software development or control systems engineering.
- Proficiency in programming languages such as Python, C++, and experience with ROS (Robot Operating System) or ROS 2.
- Strong foundation in linear algebra, kinematics, dynamics, and control theory (PID, MPC).
- Experience with embedded systems, Linux environments, and version control systems (Git).
- Demonstrated ability to work in an agile environment and deliver production-ready software.