Autonomous Systems Engineer
Do you have a passion for autonomous systems and robotics technologies?
Do you love bringing concepts and novel ideas into reality?
Are you a proven leader and mentor?
If so, we'd be excited to meet you.
We are seeking an autonomous systems engineer to help us propose and devise solutions to support the detection of physical threats to civilians and military personnel through diverse and agile platforms. Our team seeks to create, mature, and improve robotic platforms through concept development, hardware and software design, system integration, and lab/field testing. We are looking for a highly motivated project leader, experienced in ground and aerial unmanned platforms, to expand our work program and respond to growing sponsor interest in the area.
As a systems engineer...
- You will develop and propose new research direction in autonomous systems, robotic platforms, and unmanned vehicles in support of APL's internal research efforts and sponsor programs.
- You will manage projects and tasks towards successful execution and growth.
- You will mentor new staff to make leaders in this area and build and develop our group's competency level in robotics and autonomous systems.
- You will pursue and present development of innovative robotics and autonomy solutions for our sponsors.
- You will join a team of engineers dedicated to the protection of our citizens and soldiers by advancing agile platform technologies.
You meet our minimum qualifications for the job if you...
- Possess a Master's Degree in Engineering, Robotics, or closely related field with a focus on autonomy and/or robotics.
- Have at least 5 years of relevant professional experience in autonomous system, robotic system, and/or unmanned vehicle development for real world applications.
- Have experience in computer vision, localization, planning, navigation, human-machine teaming, and multi-system coordination.
- Possess experience with robotics software and frameworks (e.g. ROS).
- Have experience with multiple programming languages (such as C and Python) and familiarity with software engineering tools/concepts including object oriented design, version control, and Agile development methods.
- Possess experience developing deep learning/machine learning solutions with modern toolchains, e.g. TensorFlow, MXNet, PyTorch.
- Have strong technical writing, presentation, and overall communication skills for reports, proposals, technical presentations and interaction with sponsors.
- Are a successful technical thought leader as evidenced in proposals, publications and/or presentations.
- Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you...
- Possess a PhD in a relevant technical field.
- Have experience designing systems for operation in GPS-denied environments.
- Possess experience with multiple COTS sensing modalities, such as RF, LIDAR, and Radar, and data fusing modalities for perception and inferencing.
- Have experience with filtering, estimation, and tracking techniques.
Possess experience with Linux and embedded software.
- Have experience with real-time systems, FPGAs, microcontrollers, and measurement and acquisition hardware.
- Have strong project management and leadership skills.
Why work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. With a wide selection of challenging, impactful work and a robust education assistance program, APL promotes a culture of life-long learning. Our employees enjoy generous benefits and healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities atwww.jhuapl.edu/careers.
APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, veteran status, or any other characteristic protected by applicable law.
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