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Perception Algorithm Engineer Jobs in Marble Falls, TX

JOB SUMMARY Apptronik is seeking a Staff Perception Hardware Engineer to serve as the execution ... Design, build, and deploy the physical calibration fixtures and algorithms used to align the ...

Senior Engineer, Computer Vision

Austin, TX · On-site +1

$103K - $142K/yr

As a computer vision engineer at the company you'll contribute to design and development of various ... Contribute to the development of state-of-the-art techniques and algorithms for robotic perception

Senior Robotics Software Engineer I

Austin, TX · On-site

$121K - $160K/yr

... perception, and control systems. * Practical experience designing and optimizing sensor fusion and state estimation algorithms (e.g., Kalman Filters). * Strong knowledge of autonomy algorithms ...

Software Engineer, Generalist

Austin, TX · On-site

$96K - $132K/yr

Implement algorithms for perception, navigation, path planning, and control to enable autonomous ... Proficiency in programming languages such as C++, Python, or Java, with a strong emphasis on object ...

Senior Robotics Software Engineer I

Austin, TX · On-site

$121K - $160K/yr

... perception, and control systems. * Practical experience designing and optimizing sensor fusion and state estimation algorithms (e.g., Kalman Filters). * Strong knowledge of autonomy algorithms ...

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

Mentor junior perception engineers and raise the quality bar for how perception systems are designed, tested, and deployed * Develop algorithms for terrain understanding, obstacle detection, and ...

Senior Computer Vision Engineer

Austin, TX

$103K - $142K/yr

Mentor junior perception engineers and raise the quality bar for how perception systems are designed, tested, and deployed * Develop algorithms for terrain understanding, obstacle detection, and ...

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

Mentor junior perception engineers and raise the quality bar for how perception systems are designed, tested, and deployed * Develop algorithms for terrain understanding, obstacle detection, and ...

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Perception Algorithm Engineer information

See Marble Falls, TX salary details

$52.8K

$99K

$180K

How much do perception algorithm engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for perception algorithm engineer in Marble Falls, TX is $99,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $117,500.00 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.
What are popular job titles related to Perception Algorithm Engineer jobs in Marble Falls, TX? For Perception Algorithm Engineer jobs in Marble Falls, TX, the most frequently searched job titles are:
What cities near Marble Falls, TX are hiring for Perception Algorithm Engineer jobs? Cities near Marble Falls, TX with the most Perception Algorithm Engineer job openings:
Infographic showing various Perception Algorithm Engineer job openings in Marble Falls, TX as of July 2026, with employment types broken down into 2% Locum Tenens, 70% Full Time, 25% Part Time, and 3% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $99,006 per year, or $47.6 per hour.

Senior Perception & Tracking Engineer

Allen Control Systems

Austin, TX • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago


Job description

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 an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.
With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact.
Position Overview
We are seeking a Senior/Staff Perception and Tracking Engineer to join our team. This person will specialize in deep algorithmic understanding and production-grade software development for real-time multi-target inertial tracking for robotics and autonomous systems. In this role, you will design and implement both classical and modern deep learning algorithms for real-time perception algorithms that enable robots and autonomous systems to detect, track, and understand objects in dynamic environments. You will work closely with robotics, software, and platform engineers to develop high-performance computer vision and tracking systems that operate reliably in real-world conditions and on resource-constrained hardware. This role is ideal for engineers who enjoy solving challenging perception problems, building real-time systems, and working at the intersection of machine learning, robotics, and computer vision.
What You'll Do:
  • Design, implement, test, debug, and maintain core 3D Computer Vision based multi-object tracking algorithms and infrastructure, including measurement conditioning, data association, track correlation, propagation, track initialization/maintenance/deletion, and handling of track uncertainty.
  • Develop and optimize computer vision algorithms for real-time detection and tracking of small objects in robotic and autonomous systems.
  • Implement and improve object detection and multi-object tracking pipelines using modern deep learning techniques. Analyze and resolve complex tracking issues such as track fragmentation, ID switches, poor association in clutter, sensitivity to measurement quality/latency, and coordinate system challenges.
  • Train, evaluate, and deploy machine learning models for perception tasks in dynamic environments.
  • Design image preprocessing and feature extraction pipelines to improve model robustness and performance.
  • Optimize tracking pipelines for low-latency, real-time performance on embedded hardware and/or GPUs. Profile bottlenecks and apply algorithmic or implementation improvements.
  • Collaborate with robotics and software teams to integrate perception systems into autonomous platforms and real-world deployments.
  • Participate in the full software development lifecycle: requirements, design, implementation, unit/integration/system testing, deployment, and maintenance. Follow strong software engineering practices and support automated testing and evaluation frameworks.
  • Define tracking-specific metrics, evaluation harnesses, and test scenarios. Quantify and improve accuracy, robustness, stability, and computational efficiency.

Required Technical Skills:
  • 2-3 years of experience working with perception algorithms, robotics, or machine learning and comfortable in a role that specializes in 3D Computer Vision based tracking
  • Bachelor's or Master's degree in Computer Science, Aerospace Engineering, Applied Math or related field
  • Strong experience developing vision-based tracking algorithms for real-time applications
  • Experience implementing object detection (YOLO, SSD, R-CNN, or similar) and classic or deep learning-based tracking algorithms (Kalman and particle filters, ByteTrack, or similar)
  • Solid applied math foundation in linear algebra, probability, statistics, and optimal estimation (Kalman filtering and variants)
  • Experience with image preprocessing, feature extraction, and other classical computer vision pipelines
  • Strong programming skills in Python and C++

Preferred Technical Skills:
  • Production experience integrating real-time tracking algorithms into robotic perception systems on edge or embedded hardware.
  • Experience with multi-sensor fusion and integrating heterogeneous sensor data (cameras + LiDAR, RADAR, or other modalities) into tracking pipelines.
  • Ability to go beyond library usage (e.g., ByteTrack, DeepSORT) and implement or significantly customize core tracking logic.
  • Familiarity with practical tracking challenges and mitigations: measurement latency, varying update rates, coordinate transformations/registration, track-to-track fusion concepts, IMM-style maneuver modeling, and handling of redundant or conflicting measurements.
  • Experience working on robotics systems or embedded vision platforms
  • Experience optimizing vision workloads using CUDA or GPU acceleration

What We Offer
  • Competitive salary
  • 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.