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Perception Algorithm Engineer Jobs (NOW HIRING)

General Atomics

Engineer VII

Poway, CA · On-site

$128K - $229K/yr

We are seeking a Perception Algorithms Lead to develop and deploy advanced algorithms for sensing ... Mentor engineers and establish best practices across perception algorithm development We recognize ...

Overland AI

Software Engineer, Perception

They are seeking perception experts to design and deploy perception and deep learning algorithms ... Strong programming (C++ or Python) skills and experience in a deep learning framework such as ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

JOB SUMMARY The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle's surroundings. The work ...

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Perception Algorithm Engineer information

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How much do perception algorithm engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for perception algorithm engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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 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.
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Perception Algorithm Engineer jobs near you
Infographic showing various Perception Algorithm Engineer job openings in the United States as of June 2026, with employment types broken down into 9% Locum Tenens, 55% Full Time, 27% Part Time, and 9% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Engineer VII

Engineer VII

General Atomics

Poway, CA • On-site

$128K - $229K/yr

Full-time

Posted 28 days ago

General Atomics rating

8.8

Company rating: 8.8 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

7th of 60 rated aerospace companies

Job description

Job Summary
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable Unmanned Aircraft Systems and emerging Advanced Programs for multiple customers.
We have an exciting opportunity for a Project Engineer integrated product team (IPT) leader to join our Agile Mission Systems (AMS) team here in San Diego in support of multiple advanced projects focusing on electromagnetic spectrum dominance.
We are seeking a Perception Algorithms Lead to develop and deploy advanced algorithms for sensing, detection, tracking, and classification across multi-modal sensor systems. This role focuses on extracting structured information from raw sensor data under real-time and resource-constrained environments. This lead will assist Perception Systems in transforming data from a variety of sensors-both internally developed and externally sourced-into a coherent, fused understanding of the environment. These perception outputs (e.g., detections, tracks, and classifications) are provided as structured inputs to downstream mission systems that perform higher-level functions such as navigation, task execution, and mission behavior.
The ideal candidate combines strong foundations in signal processing, estimation, and applied mathematics with experience implementing modern computational and data-driven approaches for perception systems.
DUTIES AND RESPONSIBILITIES:
  • Lead development of perception algorithms for detection, tracking, and classification using RF, EO/IR, and other sensor modalities
  • Design and implement multi-sensor fusion pipelines for robust state estimation and object tracking
  • Develop and train models for feature extraction and classification directly from sensor data
  • Apply probabilistic methods, statistical inference, and data-driven modeling techniques to noisy, real-world datasets
  • Implement and optimize algorithms using modern computational frameworks and hardware acceleration
  • Deploy algorithms in real-time and embedded environments with strict latency and compute constraints
  • Define perception outputs (detections, tracks, classifications, confidence metrics) for downstream system consumers
  • Validate performance using real-world data, simulation, and test events
  • Mentor engineers and establish best practices across perception algorithm development
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; fifteen or more years of experience with a bachelors degree, thirteen or more years of experience with a masters degree, or ten or more years with a PhD. May substitute equivalent engineering experience in lieu of education.
  • Strong background in probabilistic methods (e.g., Bayesian inference, filtering, estimation theory)
  • Proficiency in Python and/or C++ for algorithm development
  • Experience using modern numerical and computational libraries (e.g., NumPy, SciPy)
  • Experience implementing and training models using frameworks such as **PyTorch, TensorFlow, or similar**
  • Experience working with real sensor data (noise, calibration, artifacts, edge cases)
  • Preferred Qualifications
    • Experience with multi-target tracking, data association, or sensor fusion architectures
    • Experience with GPU acceleration (CUDA, cuDNN, or similar)
    • Familiarity with large-scale data pipelines and dataset curation
    • Experience with both model-based and learned approaches for perception problems
    • Experience with RF, radar, EO/IR, or other sensing modalities
    • Experience optimizing models for deployment (quantization, pruning, performance tuning)
  • Additional Attributes
    • Ability to operate across theory, implementation, and system integration
    • Strong ownership of technical solutions from concept through deployment
    • Effective communication across multidisciplinary engineering teams
    • Focus on delivering robust, testable, and fieldable solutions
  • Ability to obtain and maintain a DoD security clearance is required

What General Atomics employees say

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Benefits

Hours and flexibility

Workplace

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About General Atomics

Sourced by ZipRecruiter

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955

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