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Autonomy Engineer Jobs
Company | EpiSci |
Address | San Diego, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Transportation, Logistics, Supply Chain and Storage |
Expires | 2023-06-09 |
Posted at | 1 year ago |
Do you want to advance the future of collaborative mission autonomy and work with colleagues who are at the forefront of bringing cutting-edge technology to reality? As a member of the growing EpiSci team, you will immediately have an impact on realizing our vision for a secure, autonomous future.
- Develop analysis tools to allow for rapid iteration
- Take new product features from ideation through prototyping, lab & flight testing, and fielding on front-line aircraft and robotic systems
- Research, design, and implement state-of-the-art algorithms in one or more of the following areas: autonomous trajectory planning and control, environment sensing and modeling, computer vision, reinforcement learning, robot autonomy software
- Contribute novel ideas for new and existing research and development projects
- Leverage and improve simulation to rigorously design and test new algorithms
- As part of a team, develop and implement architectural solutions to mission autonomy challenges
- Solid DevOps foundation and a commitment to writing code that adheres to local style and format guides
- Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment
- High proficiency in Python and/or C++, preferably both
- Eligibility to perform on ITAR-restricted programs and eligibility for a SECRET clearance
- Experience with state-of-the-art algorithm development in at least one of the following areas: real-time locomotion planning, constraint optimization, efficient trajectory generation, vehicle dynamics modeling, and/or SLAM
- Passion for solving complex problems with little supervision in a fast-moving team
- Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams
- Familiarity with GitLab, Docker and containerized development environments, and Linux-based operating systems
- Bachelor’s/Master’s degree in computer science/related engineering field
- Experience working projects related to national security for one or more government agencies
- Familiarity with software-in-the-loop (SIL), computer-in-the-loop (CIL), and hardware-in-the-loop (HIL) development and testing
- Proficiency with autonomy software tools or simulators such as ROS, AirSim, AFSIM, NGTS, JSE, PX4/MAVLink, QGC, and/or TAK
- Current SECRET security clearance
- Experience with modern control theory techniques
- 2+ years of experience in deep reinforcement learning or autonomy principles, tools, and devices
- Interdisciplinary background, with evidence of continual learning
- None, but eligibility for SECRET desired
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