Jobs
Benefits & Perks
•Healthcare
•Life Insurance
•Disability Insurance
•401(k)
•Paid Leave
•Professional Development
•Tuition Assistance
•Work Life Programs
•Dependent Care
•Flexible Hours
•Healthcare
•401k
•Learning
•Flexible Hours
Required Skills
C
C++
Linux
ROS2
Autonomy algorithms
Sensor Fusion
State Estimation
Kalman filters
SLAM
VIO
Docker
Autonomy Engineer
The Opportunity:
Conduct the research, development, integration, deployment, and evaluation of robotic and unmanned systems across multiple operational domains and DoD warfighter mission areas. Function at the intersection of software and hardware to design, build, test, and demonstrate new robotic capabilities that address complex client problems in sensing, autonomy, and human interaction. Apply advanced engineering skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction, and mentor and supervise team members.
You Have:
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5 years of experience developing and debugging software and algorithms in C or C for Linux-based embedded systems, including driver development and integration of sensors, platforms, and interfaces
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3 years of experience using ROS2 to develop software for robotic applications
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3 years of experience developing autonomy algorithms such as localization and path planning for navigation
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3 years of experience integrating Sensor Fusion and State Estimation algorithms, including Kalman filters, particle filters, SLAM, and VIO
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2 years of experience leading robotic software development efforts, including requirements specification, design, implementation, integration, planning, tasking, testing, and code reviews
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2 years of experience working with UAS platforms and PX4-based flight controllers
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2 years of experience working with software containerization methods and utilities such as Docker and Docker-compose
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Ability to obtain a Secret clearance
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Bachelor’s degree in Software Engineering, Computer Engineering, Electrical Engineering, or a Robotics field
Nice If You Have:
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3 years of experience with computer vision such as OpenCV, camera models, and camera calibrations
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Experience leading software development efforts following DevOps principles, including Agile, CI/CD, and test-driven development, and using automation tools, including pipelines and runners
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Experience briefing DoD leaders and customers and collecting requirements for defense missions
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Experience with Universal Command and Control Interface (UCI) for UAS and Open Mission Systems (OMS)
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Experience with QGround Control
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Secret clearance
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Master’s degree in Software Engineering, Computer Engineering, Electrical Engineering, or a Robotics field preferred; Doctorate degree in Software Engineering, Computer Engineering, Electrical Engineering, or a Robotics field a plus
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FAA Small UAS Part 107 Remote Pilot Certification
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Booz Allen Hamilton
PublicSpecializing in digital transformation and artificial intelligence.
10,001+
Employees
McLean
Headquarters
Reviews
3.5
5 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.8
Career
2.5
Management
2.0
35%
Recommend to a Friend
Pros
Great reputation in federal sector
Hybrid work options available
Established teams and processes
Cons
Poor hiring and recruitment process
Job security concerns with contract-based work
Work-life balance issues
Salary Ranges
34 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
1 reports
$149,500
total / year
Base
$115,000
Stock
-
Bonus
-
$149,500
$149,500
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
21-35 weeks
Offer Rate
43%
Experience
Positive 29%
Neutral 28%
Negative 43%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Team Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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