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Autonomous Navigation Jobs (NOW HIRING)

Experience applying machine learning (ML) and deep learning (DL) to enhance autonomous navigation, path planning, and flight performance is a distinct advantage. What You'll Do: * Flight Control ...

Senior GNC Engineer - Sensors

Arvada, CO

$107K - $147K/yr

As the lead of our Sensor Team, you will play a pivotal role in developing cutting-edge autonomous navigation and control systems for our lunar rovers. Working at the intersection of autonomy ...

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Autonomous Navigation information

What is autonomous navigation?

Autonomous navigation refers to the technology and processes that enable vehicles or robots to move through an environment and reach a destination without human intervention. This involves using sensors, artificial intelligence, and algorithms to perceive the surroundings, plan paths, and avoid obstacles. Autonomous navigation is widely used in self-driving cars, drones, robotic vacuum cleaners, and industrial robots. The technology continues to evolve rapidly, enhancing safety, efficiency, and versatility across various industries.

What are the key skills and qualifications needed to thrive in Autonomous Navigation roles, and why are they important?

To excel in Autonomous Navigation, you need a strong background in robotics, computer vision, sensor fusion, and algorithm development, typically supported by a degree in robotics, computer science, or a related engineering field. Familiarity with tools such as ROS (Robot Operating System), SLAM algorithms, LIDAR, and programming languages like Python or C++ is essential. Critical soft skills include problem-solving, teamwork, and adaptability to rapidly changing technologies. These skills and qualities are crucial for developing reliable navigation systems that can safely and efficiently operate in complex, real-world environments.

What is the difference between Autonomous Navigation vs Path Planning Engineer?

AspectAutonomous NavigationPath Planning Engineer
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with sensors and algorithmsSimilar credentials; focus on algorithms and robotics
Work EnvironmentRobotics labs, field testing, autonomous vehicle developmentRobotics teams, simulation environments, vehicle systems
Industry UsageAutonomous vehicles, drones, robotics systemsAutonomous vehicles, robotics companies, research institutions
Comparison FocusOverall navigation capabilities of autonomous systemsSpecific algorithms for generating feasible paths

Autonomous Navigation involves the entire process of enabling a robot or vehicle to move safely and efficiently in an environment, integrating perception, localization, and decision-making. Path Planning Engineer specializes in designing algorithms that determine the optimal route within the navigation system. While both roles require similar skills and work in related environments, Autonomous Navigation covers the broader system, whereas Path Planning focuses specifically on route generation.

How does an Autonomous Navigation engineer typically collaborate with cross-functional teams during a project?

As an Autonomous Navigation engineer, you will frequently work alongside robotics hardware teams, software developers, and data scientists to integrate navigation algorithms into real-world systems. Collaboration often involves regular meetings to align on system requirements, troubleshooting integration issues, and field-testing prototypes. Effective communication and a willingness to iterate quickly are key, as navigation performance depends on close coordination between sensing, perception, and control subsystems. This collaborative environment provides valuable learning opportunities and exposure to various aspects of robotics development.
Autonomy Engineer, Senior

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 12 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Autonomy Engineer, Senior
The Opportunity:
As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned aircraft systems. You will work with advanced autonomy frameworks, including platforms such as Shield AI's Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities for the Department of Defense.
You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution.
What You'll Do:
  • Design and train machine learning models for perception, object detection, tracking, and classification.
  • Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
  • Implement sensor fusion models combining EO/IR, LiDAR, GPS-denied navigation, and telemetry data.
  • Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.
  • Develop and integrate autonomy behaviors within platforms such as Hivemind.
  • Implement mission planning logic and adaptive decision-making algorithms.
  • Enable collaborative autonomy between multiple UAS platforms.
  • Build simulation-based training pipelines for autonomy validation.
  • Deploy containerized AI models to airborne and ground edge nodes.
  • Optimize inference latency and resource utilization.
  • Conduct hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing.
  • Develop secure software pipelines aligned to DoD cybersecurity standards.
  • Integrate AI outputs into tactical networks and mission command systems.
  • Implement CI/CD pipelines for rapid model iteration and field updates.

Join us. The world can't wait.
You Have:
  • 3+ years of experience in software engineering, including AI/ML systems
  • Experience with Python and C++
  • Experience with deep learning frameworks, such as PyTorch, TensorFlow, and ONNX
  • Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and embedded platforms
  • Experience with robotics middleware, such as ROS or ROS2
  • Experience with computer vision or autonomous navigation systems
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience working in military exercises and war games
  • Ability to support flight testing and operational evaluations
  • Master's degree
  • ML, AI, or Solution Architecture 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 $99,000.00 to $225,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914