About the Role
This position involves conducting advanced research in robotics with a focus on developing and deploying intelligent systems that operate reliably in complex environments. The role bridges theoretical innovation and practical implementation, requiring strong technical expertise and collaboration across teams.
Responsibilities
- Develop novel algorithms for robotic perception and motion planning
- Conduct experiments to validate robotic system performance in dynamic environments
- Collaborate with engineering teams to integrate research prototypes into production systems
- Publish findings in top-tier conferences and journals
- Evaluate emerging technologies and methodologies in robotics and autonomy
- Design and implement simulation frameworks for testing robotic behaviors
- Analyze real-world sensor data to improve system robustness
- Work closely with cross-functional teams to define research roadmaps
- Prototype new capabilities for autonomous systems
- Ensure research outputs align with practical deployment requirements
- Contribute to technical documentation and internal knowledge sharing
- Participate in code reviews and system design discussions
- Optimize algorithms for computational efficiency and scalability
- Support field testing and debugging of robotic platforms
- Stay current with advancements in machine learning and control theory
- Translate theoretical concepts into functional software modules
- Assess safety and reliability implications of research outcomes
- Collaborate on benchmarking strategies for performance evaluation
- Integrate sensor fusion techniques to enhance environmental understanding
- Refine navigation and decision-making systems using real-world feedback
- Support the development of modular research pipelines
- Contribute to grant proposals and research initiatives
- Maintain high standards for reproducibility and experimental rigor
- Work with hardware teams to understand platform constraints
- Drive innovation in autonomous behavior modeling
Nice to Have
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Background in reinforcement learning for robotic control
- Familiarity with embedded systems or edge computing platforms
- Industry experience in robotics or autonomous vehicles
- Contributions to open-source robotics projects
- Knowledge of formal verification methods for safety-critical systems
- Experience with multi-robot coordination problems
- Understanding of regulatory considerations in robotics deployment
- Prior work with off-road or unstructured environments
- Leadership in interdisciplinary research collaborations
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid work model with office and remote flexibility
Team
Collaborative team of researchers and engineers working on cutting-edge robotics systems
Research Impact
Candidates are expected to drive innovation in core robotics capabilities, contributing to both internal advancements and the broader research community through publications and open science practices.
Technology Stack
The team leverages modern C++, Python, ROS, and simulation environments to build and test robotic systems, with an emphasis on modular, scalable, and maintainable code.
Deployment Focus
Research is grounded in real-world applications, with regular testing on physical platforms to ensure relevance and performance under operational conditions.
Available for qualified candidates
