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Perception Engineer Jobs in Texas (NOW HIRING)

Caterpillar Inc.

Senior Principal Software Engineer

Irving, TX · On-site

$116K - $160K/yr

... perception engineering. • Deep expertise in NVIDIA Omniverse for building digital twins supporting robotics. • Experience architecting or integrating modeling ecosystems with tools such as CARLA ...

New

ISEE

AV Specialist

Houston, TX

... for perception engineering team and mapping team - Effectively communicate test results and issues to technical leads and peers in Engineering - Able to communicate the site specific issues and ...

ISEE

AV Specialist

Houston, TX

... for perception engineering team and mapping team - Effectively communicate test results and issues to technical leads and peers in Engineering - Able to communicate the site specific issues and ...

ISEE

AV Specialist

Houston, TX · On-site

... for perception engineering team and mapping team - Effectively communicate test results and issues to technical leads and peers in Engineering - Able to communicate the site specific issues and ...

Hired Recruiters

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 core technologies and products, such as real-time perception, 3D reconstruction, visual-inertial ...

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 autonomy stack. This role is critical to delivering robust onboard vision capabilities - object ...

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How much do perception engineer jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for perception engineer in Texas is $52.16, according to ZipRecruiter salary data. Most workers in this role earn between $37.40 and $69.42 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Perception Engineer?

As a Perception Engineer, your typical day involves designing, developing, and testing algorithms that help automated systems interpret sensor data from sources such as cameras, lidar, and radar. You’ll spend time collaborating with cross-functional teams, including hardware engineers and software developers, to integrate perception solutions into larger systems like autonomous vehicles or robotics platforms. Regular tasks include data collection and annotation, debugging, performance optimization, and participating in code reviews. This role often requires a balance of independent problem-solving and teamwork to ensure reliable and accurate perception capabilities in ever-changing environments.

What is a Perception Engineer job?

A Perception Engineer develops and optimizes computer vision and sensor-based systems to help machines interpret and understand their surroundings. This role involves working with data from cameras, LiDAR, radar, and other sensors to create models for object detection, tracking, and scene understanding. Perception Engineers commonly work in fields like robotics, autonomous vehicles, and augmented reality, utilizing machine learning and signal processing techniques. Their goal is to enhance a system’s ability to perceive and react to its environment accurately and efficiently.

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

To thrive as a Perception Engineer, you need a strong background in computer vision, sensor fusion, machine learning, and robotics, usually supported by a degree in electrical engineering, computer science, or a related field. Experience with programming languages like Python or C++, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with tools like ROS and OpenCV are commonly required. Analytical thinking, problem-solving, and effective communication are valuable soft skills that set top candidates apart. These skills are crucial for developing and optimizing perception systems that enable machines to understand and interact with complex real-world environments.

What are the most commonly searched types of Perception Engineer jobs in Texas? The most popular types of Perception Engineer jobs in Texas are:
What are popular job titles related to Perception Engineer jobs in Texas? For Perception Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Perception Engineer jobs in Texas look for? The top searched job categories for Perception Engineer jobs in Texas are:
Perception Engineer jobs near you
Guidance Navigation and Controls (GNC) Engineer III - Project Based

Guidance Navigation and Controls (GNC) Engineer III - Project Based

Autonomous Solutions

Fort Worth, TX • On-site

$109K - $144K/yr

Temporary

Medical, Retirement, PTO

Posted 4 days ago

Job description

This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous dozer platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.
JOB SUMMARY
The Guidance, Navigation, and Controls Engineer III develops, integrates, and validates algorithms that enable ASI's autonomous dozers to navigate work sites, follow planned paths, maintain stable vehicle control, and complete earthmoving tasks accurately and safely. This role works with vehicle dynamics, localization, state estimation, trajectory planning, path tracking, and control systems to support reliable autonomous operation in challenging construction environments.
As a Level III engineer within ASI's five-level engineering structure, this position independently contributes to moderately complex GNC features and subsystem improvements while receiving guidance on broader architectural and system-level decisions. The role collaborates with perception, embedded software, systems, test, and field operations teams to improve autonomous dozer performance across uneven terrain, changing soil conditions, slopes, confined work areas, and active construction sites.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Develop, implement, integrate, and validate guidance, navigation, and control algorithms for autonomous dozer applications
  • Contribute to vehicle motion control, path tracking, trajectory following, steering, propulsion, braking, and speed-control capabilities
  • Develop and tune feedback-control algorithms to improve vehicle stability, accuracy, responsiveness, and operational performance
  • Support navigation capabilities that allow autonomous dozers to move safely and efficiently through defined work areas
  • Develop and improve localization and state-estimation solutions using GPS/GNSS, inertial sensors, wheel or track feedback, and other vehicle data
  • Contribute to trajectory-generation and path-planning solutions for earthmoving, grading, cut-and-fill, site preparation, and related workflows
  • Support integration between vehicle motion control, blade-control systems, perception outputs, and task-planning software
  • Own defined GNC features and moderately complex assignments from development through integration, testing, and field validation
  • Develop models of vehicle dynamics and system behavior to support controller design, simulation, and performance analysis
  • Tune control parameters on physical equipment and evaluate performance across different terrain, payload, speed, and operating conditions
  • Evaluate GNC performance using simulation, software-in-the-loop testing, hardware-in-the-loop testing, recorded-data replay, and full-machine field testing
  • Establish measurable performance criteria for assigned features, including path accuracy, tracking error, stability, response time, and task completion
  • Analyze vehicle logs and field data to identify performance limitations, control instability, localization errors, and edge cases
  • Develop tools and scripts for simulation, data processing, visualization, automated testing, controller tuning, and performance analysis
  • Troubleshoot issues involving control behavior, localization, vehicle interfaces, sensor timing, coordinate systems, and system integration
  • Collaborate with perception engineers to ensure environmental and terrain information supports safe navigation and control decisions
  • Work with embedded software engineers to integrate GNC algorithms into real-time vehicle-control systems
  • Partner with test engineers and field testers to develop test procedures, reproduce issues, and verify corrective actions
  • Participate in design reviews, code reviews, sprint planning, and technical investigations
  • Document algorithms, mathematical models, software interfaces, assumptions, test results, and known system limitations
  • Support customer demonstrations, field deployments, and troubleshooting activities as required

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Robotics, Computer Engineering, Computer Science, or a related technical field
  • Typically five or more years of experience developing controls, navigation, robotics, vehicle-dynamics, state-estimation, or autonomous-system software
  • Strong understanding of classical and modern control theory, including feedback control, PID control, stability, and system dynamics
  • Experience developing and tuning control algorithms on physical robotic, automotive, aerospace, industrial, or heavy-equipment systems
  • Experience with localization, navigation, trajectory generation, path tracking, or state estimation
  • Proficiency in C++ and Python, MATLAB/Simulink, or comparable engineering tools
  • Experience developing software in Linux-based environments
  • Familiarity with ROS, ROS2, or comparable robotics middleware
  • Understanding of coordinate systems, transformations, vehicle kinematics, and vehicle dynamics
  • Experience using simulation and test data to evaluate algorithm and system performance
  • Experience developing production-quality software using version control, peer review, automated testing, and continuous integration practices
  • Ability to analyze complex system behavior and troubleshoot software, sensor, and vehicle-integration issues
  • Strong analytical, mathematical, and technical problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work effectively with cross-functional engineering and field teams

PREFERRED QUALIFICATIONS
  • Master's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Robotics, Controls, or a related discipline
  • Experience developing GNC systems for autonomous vehicles, construction equipment, heavy machinery, mobile robots, or off-road platforms
  • Knowledge of dozer operations, grading, earthmoving, cut-and-fill, site preparation, or construction workflows
  • Experience with model-based design, system identification, controller tuning, or vehicle-dynamics modeling
  • Experience with Kalman filters, extended Kalman filters, particle filters, or other state-estimation methods
  • Experience with GNSS, RTK positioning, IMUs, odometry, encoders, and multi-sensor localization
  • Familiarity with optimization-based control, model predictive control, trajectory optimization, or motion planning
  • Experience integrating algorithms with vehicle-control units, embedded controllers, CAN networks, or drive-by-wire systems
  • Experience with MATLAB/Simulink, C++, Python, Gazebo, or similar simulation and development tools
  • Experience with software-in-the-loop, hardware-in-the-loop, and recorded-data replay testing
  • Familiarity with functional safety concepts and validation practices for autonomous or safety-critical systems
  • Experience validating control systems in high-vibration, dusty, uneven, off-road, construction, mining, or industrial environments

BENEFITS
ASI offers a comprehensive benefits package, including:
  • 401k with employer match
  • Generous HSA contribution
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
This is a full-time, project-based employment opportunity. Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.

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