ZipRecruiter

Log In

1

Perception Algorithm Engineer Jobs in Texas (NOW HIRING)

Shield AI

Senior Manager, Perception (R3634)

Dallas, TX

$229K - $343K/yr

... engineers to meet challenging operational requirements. What you'll do: * Lead teams across ... Collaborate with hardware and test teams to validate algorithms/code on aerial platforms * Write ...

Shield AI

Senior Manager, Perception (R3634)

Dallas, TX · On-site

$229K - $343K/yr

... engineers to meet challenging operational requirements. What you'll do: * Lead teams across ... Collaborate with hardware and test teams to validate algorithms/code on aerial platforms * Write ...

TerraFirma

Robotics Engineer - Perception

Austin, TX · On-site

Founded by former SpaceX engineers and backed by Kleiner Perkins and Bain Capital Ventures ... Implement algorithms to efficiently detect objects of interest from incoming data streams for the ...

Firefly Aerospace

Principal Software Engineer

Cedar Park, TX · On-site

$126K - $170K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Firefly is seeking a Principle Software Engineer to lead the development of critical features ... connect perception algorithms with cameras, compute hardware, simulation environments, flight ...

Firefly Aerospace

Principal Software Engineer

Cedar Park, TX · On-site +1

$126K - $170K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Firefly is seeking a Principle Software Engineer to lead the development of critical features ... connect perception algorithms with cameras, compute hardware, simulation environments, flight ...

Firefly Aerospace

Principal Software Engineer

Cedar Park, TX · On-site

$126K - $170K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Firefly is seeking a Principle Software Engineer to lead the development of critical features ... connect perception algorithms with cameras, compute hardware, simulation environments, flight ...

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100K - $118K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual ... The CVE will lead the development of real-time perception algorithms for the Blackfoot platform ...

Saronic Technologies

Perception and Autonomy Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Overview We are seeking a Perception Engineer to play a pivotal role in designing, developing ... Develop algorithms and models which allow boats to sense and navigate * Develop metrics which allow ...

previous pagenext page

Showing results 21-40

All JobsPerception Algorithm Engineer JobsPerception Algorithm Engineer Jobs in Texas

Perception Algorithm Engineer information

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 Texas?

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

What job categories do people searching Perception Algorithm Engineer jobs in Texas look for?

The top searched job categories for Perception Algorithm Engineer jobs in Texas are:

What cities in Texas are hiring for Perception Algorithm Engineer jobs?

Cities in Texas with the most Perception Algorithm Engineer job openings:

Perception Algorithm Engineer jobs near you
Infographic showing various Perception Algorithm Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot Auto

Houston, TX • On-site

Full-time

Posted 17 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
How You'll Grow

This matters as much to us as what you'll ship.

  • You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
  • We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
QualificationsRequired:
  • Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
  • Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred:
  • Computer vision. Research or projects in computer vision, and particularly in 3D.
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • Computer Vision (2D or 3D)
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.

Apply