Field AI  is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. 
 
 
 
 
 Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting-edge autonomous systems in real-world scenarios? We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments. This is your chance to shape the future of robotics and work alongside a team that values innovation, hands-on expertise, and impact-driven results. If you’re a software-savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!
What You'll Get To Do
• 1. Autonomy Engineering
• Model high-fidelity sensor noise and dynamics to improve system robustness in both simulated and real-world deployments
• Develop accurate robot dynamics models for various robot systems to support physics-aware planning and control
• Integrate diverse software modules, ensuring seamless communication and synchronization across components
• Conduct iterative testing and refinement to ensure systems meet real-world demands and constraints
• 2. Software Integration and Testing
• Build sim-to-real workflows that tightly couple perception and control pipelines, minimizing transfer gaps
• Work extensively with ROS (Robot Operating System) to develop, test, and integrate software modules
• Conduct simulations and field tests to validate performance and optimize system behavior
• 3. Hands-On Robotics Deployment
• Collaborate with hardware teams to ensure seamless software-hardware integration.
• Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions.
• 4. Cross-Team Collaboration
• Work closely with other engineering teams to align development efforts and achieve cohesive system performance
• Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress
What Will Set You Apart
• Experience with real-time systems or robotics middleware.
• Familiarity with sensor integration and perception algorithms.
• Knowledge of machine learning techniques applied to robotics.
• Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing.
• Experience working in harsh or outdoor environments.
• Experience working with off-road vehicles / off-road driving
• Understanding of safety standards and compliance in robotics.