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How much do navy computer engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for navy computer engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a Navy Computer Engineer job?

A Navy Computer Engineer designs, develops, and maintains computer systems, networks, and cybersecurity solutions for the U.S. Navy. They work on advanced technologies for communications, cryptography, and mission-critical systems to support naval operations. Their role includes software and hardware engineering, troubleshooting, and ensuring secure and efficient computing environments. They may also collaborate with military personnel and civilian contractors to enhance system performance and security.

What are the key skills and qualifications needed to thrive in the Navy Computer Engineer position, and why are they important?

To thrive as a Navy Computer Engineer, you need a solid background in computer engineering, information technology, and cybersecurity, often supported by a bachelor’s degree and relevant security clearances. Familiarity with military-standard hardware, secure network systems, various programming languages, and certifications such as CompTIA Security+ or Cisco Certified Network Associate (CCNA) are commonly required. Strong problem-solving, teamwork, and communication skills are crucial for coordinating with multidisciplinary teams and adapting to dynamic environments. These competencies are essential for maintaining secure, reliable systems that support critical naval operations.

What are the typical daily responsibilities of a Navy Computer Engineer?

As a Navy Computer Engineer, your daily responsibilities often include designing, maintaining, and troubleshooting computer networks and communication systems used in naval operations. You may work with advanced hardware and software, ensure cybersecurity protocols are followed, and provide technical support for mission-critical systems. The role typically involves collaborating with other engineers, IT specialists, and naval personnel to ensure the operational readiness of information systems. You may also participate in the testing and integration of new technologies or software updates. This dynamic environment requires adaptability and a proactive approach to problem-solving.
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Navy Computer Engineer jobs near you
Infographic showing various Navy Computer Engineer job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 62% Full Time, 30% Part Time, 2% Temporary, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision & Machine Learning Engineer, Mid-Level

Allen Control Systems

Austin, TX • On-site

$110.50K - $130.30K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 23 days ago

Job description

Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems
Company Overview:
Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.
With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.
What You'll Do:
  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:
  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 4-7 years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with embedded systems and integrating computer vision algorithms into hardware.
  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
  • You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:
  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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