Senior Autonomy Engineer Software Engineer

Job Information

Requisition Number: 26660 | Required Travel: 26 – 50% |

Employment Type:

Full Time / Salaried / Exempt | Salary Range: $ – $ | Security Clearance:
Ability to Obtain | Level of

Experience:

Senior

Uncrewed Systems (UxS) is a business group within HII’s Mission Technologies division. UxS comprises unmanned underwater vehicles (UUVs), unmanned surface vehicles (USVs), and autonomy software. HII creates advanced unmanned solutions for defense, marine research and commercial applications across more than 30 countries.

• Designing, implementing, and validating multi-vehicle, multi-domain C2 behaviors, including collaborative contact management, sensor control, and fire control.
• Developing and integrating sensor-driven perception capabilities to enable autonomous situational awareness, contact tracking, and environmental understanding.
• Designing, implementing, and validating intelligent communication networks given operational environment challenges and mission priorities.
• Works with the ODYSSEY product owner and management to help define and assign tasking.
• Responsible for estimating and managing tasks.
• Ensure that design choices and verification methodologies support product requirements and product development processes are followed within program timelines.
• Participates in and/or leads Peer Reviews, Design Reviews, and customer meetings as needed.
• Works well in a multi-disciplinary team environment.
• Demonstrate the ability to be creative and innovative and assist in developing unique, differentiated solutions to complex problems in a continuous improvement environment.
• Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions.
• Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.
• Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.

• 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience.
• Minimum of 2 years prior engineering and team leadership experience.
• Thorough understanding of engineering and software programming fundamentals.
• Demonstrated ability to manage multiple priorities, decompose complex technical problems, make design decisions and take appropriate action that leads to acceptable solutions.
• Must be able to obtain and maintain a government clearance.

• Experience building complex systems, including autonomous platforms and edge devices.
• Experience in applying machine learning to autonomous behaviors, mission planning, and situational awareness processing.
• Strong proficiency in C++ and Python; familiarity with robotics frameworks such as ROS, DDS, or similar.
• Experience with embedded Linux systems and embedded software development.
• Modular Open System Architectures (MOSA).
• Unmanned Maritime Autonomy Architecture (UMAA).
• Familiarity with kill chain automation concepts, including sense, control, engage.
• Excellent problem-solving skills and ability to work in a fast-paced startup environment.
• Strong communication skills and the ability to collaborate effectively with cross‑functional teams.

Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family.

We offer competitive benefits such as best‑in‑class medical, dental and vision plan choices; wellness resources; employee assistance programs; savings plan options (401(k)); life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; early childhood and post‑secondary education scholarships. Bonus or other non‑recurrent compensation may be offered for qualified positions and will be addressed by the recruiter at the screening phase of application.

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