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Perception Algorithm Engineer Jobs in Arlington, VA

Sr. FPGA Engineer II

Chantilly, VA

$133K - $171K/yr

Experience in FPGA- or ASIC-based image processing algorithms * Experience in both creating IP from ... depth perception, and the ability to focus * Regularly required to sit, use hands and fingers ...

Showing results 41-60

Perception Algorithm Engineer information

See Arlington, VA salary details

$68.5K

$128.4K

$233.5K

How much do perception algorithm engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for perception algorithm engineer in Arlington, VA is $128,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $152,400.00 per year, depending on experience, location, and employer.

What is a perception algorithm engineer?

A Perception Algorithm Engineer is a professional who develops algorithms that enable machines—such as autonomous vehicles or robots—to interpret and understand sensory data from their environment. This typically involves processing data from cameras, lidar, radar, and other sensors to identify objects, track movement, and understand surroundings. Perception Algorithm Engineers work with computer vision, sensor fusion, and machine learning techniques to create reliable and efficient perception systems. Their work is crucial in making machines aware of their surroundings and enabling them to respond appropriately. They often collaborate with hardware, software, and robotics teams to integrate their algorithms into real-world applications.

What are some common challenges faced by perception algorithm engineers when integrating their solutions into autonomous systems?

Perception Algorithm Engineers often encounter challenges when ensuring their algorithms perform reliably in diverse real-world environments, such as varying lighting, weather conditions, and sensor noise. Integrating algorithms with hardware requires close collaboration with robotics and systems engineering teams to optimize performance and latency. Additionally, balancing accuracy with computational efficiency is crucial, as perception modules must run in real time on embedded systems. Addressing these challenges involves rigorous testing, continuous model improvement, and effective cross-functional communication.

What are the key skills and qualifications needed to thrive as a perception algorithm engineer, and why are they important?

To thrive as a Perception Algorithm Engineer, you need a strong background in computer vision, machine learning, and programming (typically C++ or Python), often supported by a degree in computer science, robotics, or a related field. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and ROS, as well as experience with sensor data (e.g., LiDAR, cameras), is crucial. Strong analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills for this role. These skills are vital to develop robust perception systems that enable autonomous vehicles and robots to interpret and interact safely with complex real-world environments.

What are popular job titles related to Perception Algorithm Engineer jobs in Arlington, VA?

For Perception Algorithm Engineer jobs in Arlington, VA, the most frequently searched job titles are:

What job categories do people searching Perception Algorithm Engineer jobs in Arlington, VA look for?

The top searched job categories for Perception Algorithm Engineer jobs in Arlington, VA are:

What cities near Arlington, VA are hiring for Perception Algorithm Engineer jobs?

Cities near Arlington, VA with the most Perception Algorithm Engineer job openings:

Senior Software Engineer - Forward Deployed

Arlington, VA • On-site

$141K - $186K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Senior Software Engineer - Forward Deployed Lead field deployments of autonomous vessels, deploying reliable software in operational maritime environments.

Location: Arlington, Virginia

About The Role Senior Forward Deployed Software Engineer

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms.

Job Overview

We are seeking a Senior Forward Deployed Software Engineer in Washington, DC, who will be at the forefront of integrating, deploying, and improving our autonomous systems in real-world environments. You will work hands-on with software, networking, and autonomy, ensuring our autonomous service vessels perform reliably in operational settings. This role blends software development, field deployment, and problem-solving to ensure our technology delivers real mission impact.

You will be deeply engaged in debugging and optimizing autonomy algorithms, refining system performance based on real-world data, and working closely with end-users to adapt our technology to mission needs. Whether troubleshooting networking issues, improving sensor integration, or refining control logic, you will play a critical role in making our systems more capable and reliable.

You will be the link between groundbreaking autonomy technology and real-world success. You will work on the front lines of maritime autonomy, ensuring our systems operate effectively in the environments where they matter most. You will impact mission success and shape the future of autonomous maritime operations.

Responsibilities
  • Lead the design, development, and optimization of advanced software systems for autonomy, networking, and mission execution, with a focus on robust performance in dynamic maritime environments
  • Drive field testing and deployment strategies, overseeing validation of autonomy, perception, and control systems under operational conditions, and proactively identifying systemic issues
  • Own the analysis of mission-critical performance data, translating operational insights into high-impact software improvements that enhance system behavior, reliability, and responsiveness
  • Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware, while maintaining a modular and scalable system design
  • Partner directly with operators, mission planners, and end-users, translating feedback into actionable requirements and guiding the evolution of the autonomy stack to meet mission needs
  • Lead incident response and root cause analysis for complex issues spanning software, hardware, and networking layers, and implement durable solutions that strengthen system resilience
  • Mentor and collaborate with cross-functional teams, aligning autonomy development with broader product and mission goals, and elevating engineering practices across the organization
  • Establish and maintain technical standards, authoring deployment protocols, diagnostic tools, and documentation to support the reliable scaling of autonomy systems in operational fleets
Qualifications
  • 5+ years of experience developing autonomy or robotics systems, with a strong foundation in software engineering
  • Proficient programming skills in C++, Rust, Python, or similar languages, with experience building and maintaining performance-critical systems
  • Deep technical background in robotics, autonomy, or embedded systems, particularly within maritime, aerospace, or defense sectors
  • Strong understanding of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks (e.g., ROS, ZeroMQ)
  • Extensive hands-on experience with perception sensors such as cameras, radar, GPS, and IMUs, with emphasis on integration and real-time sensor fusion
  • Proven ability to debug and resolve complex, cross-disciplinary issues, spanning software, hardware, networking, and autonomy behavior
  • Experience adapting autonomy systems to real-world constraints, including variable environments, limited communications, and platform-specific limitations
  • Willingness and capability to lead field deployments (up to 50%), with a history of testing and refining autonomous systems in operational maritime or expeditionary contexts
  • Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
  • Domain knowledge in maritime systems, naval operations, or defense technology, with an understanding of mission‑critical operational needs
  • Familiarity with distributed autonomy and multi‑agent coordination, including decentralized planning and task‑sharing in communication‑limited settings
  • Leadership in system integration, testing, and operationalization, collaborating across engineering, product, and field teams to deliver robust, deployable systems
Benefits
  • Medical Insurance: Comprehensive health insurance plans covering a range of services
  • Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
  • Saronic pays 100% of the premium for employees and 80% for dependents
  • Time Off: Generous PTO and Holidays
  • Parental Leave: Paid maternity and paternity leave to support new parents
  • Competitive Salary: Industry-standard salaries with opportunities for performance‑based bonuses
  • Retirement Plan: 401(k) plan
  • Stock Options: Equity options to give employees a stake in the company's success
  • Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
  • Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office
Physical Demands
  • Prolonged periods of sitting at a desk and working on a computer
  • Occasional standing and walking within the office
  • Manual dexterity to operate a computer keyboard, mouse, and other office equipment
  • Visual acuity to read screens, documents, and reports
  • Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
  • Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Saronic CCAA Notice for Candidates and California Employees

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