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Perception Engineer Jobs in Texas (NOW HIRING)

Waabi

Senior / Staff Perception Engineer

Dallas, TX

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely ...

Waabi

Senior / Staff Perception Engineer

Dallas, TX

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely ...

Waabi

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely ...

Saronic Technologies

Perception Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

Job Overview We are seeking a Perception Hardware Engineer to join a team that will integrate and develop the sensing and perception systems that power autonomy on our unmanned surface vessels. In ...

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How much do perception engineer jobs pay per hour?

As of Jul 26, 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
Infographic showing various Perception Engineer job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $108,503 per year, or $52.2 per hour.
Perception Engineer III - Project Based

Perception Engineer III - Project Based

Autonomous Solutions

Fort Worth, TX • On-site

$109K - $144K/yr

Temporary

Medical, Retirement, PTO

Posted 27 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 Perception Engineer III develops, integrates, and validates perception capabilities that enable ASI's autonomous dozers to understand terrain, detect obstacles, recognize work-area conditions, and operate safely in dynamic construction and earthmoving environments. This role works with data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other systems to support terrain modeling, obstacle detection, traversability analysis, localization, and autonomous machine behavior.
As a Level III engineer within ASI's five-level engineering structure, this position independently contributes to moderately complex perception features and subsystem improvements while receiving guidance on broader architectural and system-level decisions. The role collaborates with GNC, embedded software, systems, test, and field operations teams to develop and validate reliable perception performance for autonomous dozers operating in uneven terrain, dust, changing ground conditions, and active work sites.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Develop, implement, integrate, and validate perception algorithms for autonomous dozer applications
  • Contribute to perception capabilities involving obstacle detection, object classification, tracking, terrain understanding, traversability analysis, and work-area awareness
  • Process and analyze data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other vehicle systems
  • Develop and improve terrain models used to support autonomous navigation, path planning, grading, and earthmoving operations
  • Support the detection and interpretation of terrain features, slopes, berms, drop-offs, spoil piles, work boundaries, equipment, personnel, and other operational hazards
  • Contribute to multi-sensor fusion solutions that provide reliable environmental awareness in outdoor construction environments
  • Own defined perception features and moderately complex assignments from development through integration, testing, and field validation
  • Integrate perception software with ASI's autonomous dozer platforms and embedded computing systems
  • Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing, hardware-in-the-loop testing, and vehicle field testing
  • Develop measurable performance criteria for assigned perception features and use test results to identify improvement opportunities
  • Analyze field data to identify false detections, missed detections, edge cases, and environmental performance limitations
  • Develop tools and scripts for data processing, visualization, labeling, replay, regression testing, and performance analysis
  • Troubleshoot issues involving sensor calibration, timing, synchronization, coordinate transformations, vehicle movement, and system integration
  • Support sensor selection, placement, mounting, configuration, calibration, and validation activities
  • Improve perception software performance for real-time execution on embedded computing platforms
  • Collaborate with GNC engineers to ensure perception outputs support navigation, path planning, dozer operations, and autonomous task execution
  • Work with test engineers and field testers to develop realistic test scenarios and reproduce perception-related issues
  • Participate in design reviews, code reviews, sprint planning, and technical investigations
  • Document algorithms, software interfaces, assumptions, test results, technical decisions, and known system limitations
  • Support field deployments, customer demonstrations, and troubleshooting activities as required

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
  • Typically five or more years of experience developing perception, computer vision, robotics, machine learning, sensor-fusion, or autonomous-system software
  • Strong proficiency in C++ and Python
  • Experience developing or integrating computer vision, point-cloud processing, sensor-fusion, or machine-learning algorithms
  • Experience working with cameras, LiDAR, radar, GPS/GNSS, or other robotic sensing technologies
  • Understanding of coordinate systems, transformations, sensor calibration, data synchronization, and geometric algorithms
  • Experience working in Linux-based software development environments
  • Experience with ROS, ROS2, or comparable robotics middleware
  • Experience developing production-quality software using version control, peer review, automated testing, and continuous integration practices
  • Ability to analyze large datasets and establish measurable criteria for evaluating algorithm performance
  • Experience troubleshooting software, sensor, and system-integration issues
  • Strong analytical, debugging, 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 Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related discipline
  • Experience developing perception systems for autonomous vehicles, construction equipment, heavy machinery, or mobile robots
  • Knowledge of earthmoving, grading, cut-and-fill, site preparation, or construction workflows
  • Experience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, or similar technologies
  • Experience with machine-learning approaches for detection, segmentation, classification, depth estimation, or tracking
  • Experience with LiDAR point-cloud registration, clustering, filtering, mapping, or ground-surface analysis
  • Familiarity with digital terrain models, elevation maps, traversability mapping, or surface reconstruction
  • Familiarity with Kalman filtering, Bayesian estimation, probabilistic robotics, or other sensor-fusion methods
  • Experience optimizing perception software for GPUs or embedded computing platforms
  • Experience with simulation, recorded-data replay, hardware-in-the-loop, or software-in-the-loop testing
  • Familiarity with functional safety concepts and validation practices for autonomous or safety-critical systems
  • Experience validating autonomous systems in dusty, high-vibration, 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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