Job description

sUAS Autonomy Engineer

We are looking for a highly motivated individual to join our division at the Army Research Laboratory in Adelphi, MD to support research on autonomous navigation, multi-sensor fusion, and localization of self and others for sUAS vehicles.

Job Duties

The successful candidate will develop and maintain algorithms and software based for self-localization, geo-localization of other entities, active perception, collaborative multi-agent state estimation, and incorporation of time dissemination using a variety of sensors and mathematical frameworks such as stochastic filtering and bundle adjustment. You will join an agile small business that has a dedicated team of technology and business leaders with 35 years of success behind them. This work will require expert knowledge of:

• State estimation, controls and dynamics, information theory, networked and distributed sensing, time/frequency data analysis, data fusion, and classification, as well as extensive experience in software engineering of mature (i.e. deployable on flight vehicles) implementations of state estimation algorithms.
• An ability to leverage existing AI/ML tools and techniques for annotation and training image-based classifiers is desired as well.
• This position will involve aerial flight testing, hands-on experience with actual UAS systems will occur and periodic trips to outdoor flight-testing locations will be required.
• Program and deploy embedded and laptop computing with ROS-based code (self-written, University provided, open-source, and existing GOTS).
• Read and understand journal and equivalent mathematical papers and be able to implement in software.
• Work with team on dataset annotation and curation as needed.
• Maintain autonomy and Unity-based simulation stack and deploy for a variety of use cases

Required Skills and Experience

• The position will require the applicant to have or rapidly acquire the techniques for modular software development for embedded devices, primarily in languages such as C/C++ and Python and distributed systems middleware ecosystems including Robot Operating System (ROS) and Lightweight Communications and Marshalling (LCM).
• The applicant will make extensive use of open-source libraries pertinent to this field, such as Ceres Solver and the Eigen library, and software lifecycle management tools such as Git.
• Familiarity with docker compartments and cross compilation toolchains is also helpful.
• Experience with simulation environments such as Unity and Gazebo is preferred.
• Active Secret Clearance
• US Citizenship required

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Disability insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Relocation assistance
• Retirement plan
• Tuition reimbursement
• Vision insurance

Schedule:

• Monday to Friday

Education:

• Doctorate (Preferred)

Experience:

• relevant: 2 years (Preferred)

License/Certification:

• US Citizenship (Required)

Work Location:

• One location

Work Remotely:

• No

Work Location: One location

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