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An Autonomy Engineer is a key player in the development and implementation of autonomous systems and technologies. This role involves designing, testing, and refining algorithms and software that enable machines and vehicles to operate independently. By leveraging expertise in robotics, artificial intelligence, and sensor fusion, an Autonomy Engineer creates solutions that enhance the capabilities and safety of autonomous platforms. Collaboration with cross-functional teams is essential to integrate these systems seamlessly into various applications, ranging from self-driving cars to unmanned aerial vehicles, ultimately pushing the boundaries of automated technology.
- Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field
- Proven experience in developing algorithms for autonomous systems
- Strong programming skills in C++ and Python
- Proficiency with ROS (Robot Operating System)
- Experience with sensor fusion and sensor data processing
- Knowledge of machine learning and deep learning techniques
- Strong understanding of control theory and robotics
- Proficiency in using simulation tools such as Gazebo, CARLA, or similar
- Hands-on experience with real-time systems and embedded programming
- Strong problem-solving and debugging skills
- Excellent collaboration and communication skills
- Ability to work in a fast-paced, dynamic environment
- Familiarity with cloud computing and distributed systems
- Understanding of hardware interfaces and integration
- Experience with version control systems like Git
- Analytical mindset with attention to detail
- Continuous learning mindset and interest in keeping up with industry trends
- Ability to analyze and interpret complex data sets
- Willingness to participate in field tests and travel as required
- Develop, implement, and optimize autonomy algorithms
- Conduct sensor data analysis and integrate sensor fusion techniques
- Design, execute, and analyze simulations and real-world tests
- Integrate autonomy solutions with hardware and software systems
- Debug and troubleshoot autonomous platforms in real-time
- Define technical requirements and specifications with cross-functional teams
- Maintain documentation for development processes and code
- Review and analyze system performance metrics for optimization
- Participate in code reviews and provide constructive feedback
- Communicate technical progress and challenges to stakeholders
- Stay current with advancements in robotics and autonomous systems
- Engage in continuous learning and professional development
The ideal candidate for the Autonomy Engineer role is a highly skilled professional with a Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field and has proven experience in developing and optimizing algorithms for autonomous systems. They are proficient in programming languages such as C++ and Python and have extensive experience with ROS (Robot Operating System), as well as sensor fusion and data processing techniques. This individual excels at working with simulation tools like Gazebo or CARLA and possesses a strong understanding of control theory and robotics principles. They demonstrate hands-on experience with real-time systems and embedded programming and have a robust problem-solving and debugging skill set. With excellent collaboration and communication abilities, they effectively engage with cross-functional teams and stakeholders. The candidate is adaptable to new technologies, detail-oriented, and proactive in driving projects forward in a fast-paced environment. They have a continuous learning mindset, stay updated with industry trends, and are committed to their professional development. Additionally, they bring strong organizational and documentation skills, the ability to analyze complex data sets, and a customer-focused approach to delivering high-quality solutions. Their enthusiasm for robotics, coupled with their willingness to participate in field tests and travel as needed, sets them apart as an innovative thinker and a team player capable of managing multiple priorities and effectively handling technical challenges.
- Develop, implement, and optimize algorithms for autonomous systems
- Conduct sensor data analysis and integrate sensor fusion algorithms
- Design and perform simulations and field tests to verify system performance
- Collaborate with hardware and software teams to integrate autonomy solutions
- Debug and troubleshoot real-time systems on autonomous platforms
- Work with cross-functional teams to define system requirements and specifications
- Stay up-to-date with the latest advancements in robotics and autonomous technologies
- Document development processes, code, and system performances
- Review and analyze system performance metrics and implement improvements
- Participate in code reviews and provide constructive feedback to peers
- Engage in continuous learning and professional development activities
- Communicate project status, technical challenges, and breakthroughs to stakeholders
- Strong analytical and problem-solving skills
- Innovative thinker with a passion for robotics and autonomous systems
- Detail-oriented with a focus on accuracy and quality
- Highly adaptable to new technologies and methodologies
- Self-motivated and proactive in driving projects forward
- Excellent collaborative and teamwork abilities
- Strong communication skills, both verbal and written
- Ability to work effectively in a fast-paced and dynamic environment
- Committed to continuous learning and personal development
- Demonstrated ability to manage and prioritize multiple tasks
- Resilient and capable of handling technical challenges and setbacks
- Experience with hands-on implementation and real-world testing
- Strong organizational and documentation skills
- Enthusiastic about staying current with industry trends and advancements
- Customer-focused mindset with an emphasis on delivering high-quality solutions
- Capable of providing constructive feedback and mentorship to team members
- Flexible and willing to travel for field tests and project needs
- Competitive salary range based on experience and qualifications
- Comprehensive health insurance (medical, dental, vision)
- Retirement savings plan with company match
- Generous paid time off (PTO) including vacation, sick leave, and holidays
- Flexible work schedules and remote work options
- Professional development opportunities and continuing education support
- Employee wellness programs and resources
- Access to state-of-the-art facilities and equipment
- Collaborative and inclusive work environment
- Opportunities for career advancement and growth within the company
- Company-sponsored events and networking opportunities
- Employee discount programs and perks
- Performance-based bonuses and incentives
- Relocation assistance if applicable
- Parental leave and family support benefits
- Travel opportunities for field tests and conferences
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