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Autonomy Systems Engineer
2 months ago
Job Summary
Cypress Human Capital Management, LLC is seeking a highly skilled Senior Robotics/Autonomy Engineer to lead the development of cutting-edge AI technology for robots, enabling them to perceive, learn, and navigate complex environments safely.
Key Responsibilities
- Expertly implement machine learning algorithms, SLAM, motion planning, and robotic perception for safe navigation in complex environments.
- Survey and research state-of-the-art technologies in machine learning, SLAM, and motion planning; propose new research directions.
- Develop adaptive algorithms for robotic learning from human demonstrations.
- Integrate and deploy solutions to the robot fleet; assess real-world impact through data analysis.
- Provide guidance and mentorship in robotics, machine learning, and supporting software development.
- Research and develop supervised, unsupervised, and reinforcement learning algorithms for analyzing robotic fleet data.
- Develop algorithms to enhance robotic perception, mapping, and motion planning on various hardware platforms.
- Offer expertise in developing software frameworks and tools to streamline robotics research.
Requirements
- Master's or Ph.D. in Computer Science, Software Engineering, or a related field.
- In-depth experience with SLAM, Perception, or Motion Planning algorithms.
- 4 years of industry experience in embodied AI (e.g., robotics, self-driving).
- Strong background in machine learning techniques (unsupervised, supervised, reinforcement, demonstration) and optimization algorithms.
- Proficient coding skills in Python and C++ in a Linux environment.
- Extensive experience converting research publications into implementations.
- Proficiency in deep neural network packages (e.g., TensorFlow, PyTorch).
- Experience designing and developing robotic systems using robotic middleware (e.g., ROS) and existing libraries/tools.
- Proven track record in research excellence or implementing research into practical solutions.
- Experience with continuous integration, deployment, and release management tools.
- Familiarity with Agile and Scrum methodologies.
- Strong system integration and software architecture skills.
- Experience launching products with embedded machine learning algorithms.
Compensation
$140-175K
