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Perception Engineer Jobs in Texas (NOW HIRING)

Perception Engineer About 9 Mothers The modern battlefield has changed. Cheap, autonomous suicide drones have turned the tactical advantage upside down, and the world is looking for a solution. At 9 ...

Senior Perception Engineer

Irving, TX · On-site

$112K - $183K/yr

As the Senior Perception Engineer , you will be responsible for developing cutting-edge autonomous and operator-assisted driving systems. As the Senior Perception Engineer, you will design, implement ...

Senior Perception Engineer

Irving, TX · On-site

$113 - $183/hr

As the Senior Perception Engineer, you will be responsible for developing cutting-edge autonomous and operator-assisted driving systems. As the Senior Perception Engineer, you will design, implement ...

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 ...

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 ...

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 ...

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Perception Engineer information

See Texas salary details

$12

$52

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How much do perception engineer jobs pay per hour?

As of Sep 5, 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 is a perception engineer?

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 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 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.

How do you become a perception engineer?

To become a perception engineer, typically a bachelor's degree in computer science, electrical engineering, or a related field is required. Relevant skills include experience with computer vision, machine learning, and programming languages like Python or C++, along with knowledge of sensor data processing and AI frameworks. Gaining hands-on experience through internships or projects is also beneficial.

What does a perception engineer do?

A perception engineer develops algorithms and systems that enable machines to interpret sensory data such as images, audio, and lidar. They work on tasks like object detection, scene understanding, and sensor fusion, often using machine learning and computer vision tools. Their work is essential in fields like autonomous vehicles, robotics, and advanced driver-assistance systems.

What are the most commonly searched types of Perception Engineer jobs in Texas?

The most popular types of Perception Engineer jobs in Texas are:

Infographic showing various Perception Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $108,503 per year, or $52.2 per hour.

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Posted 18 days ago


Job description

Location: Onsite — Austin, TX

Employment Type: Direct Hire, FullTime

Job Title: Perception Engineer

About 9 Mothers

The modern battlefield has changed. Cheap, autonomous suicide drones have turned the tactical advantage upside down, and the world is looking for a solution. At 9 Mothers, we aren’t just "innovating"—we are building the shield.

Backed by top-tier investors, we develop AI powered machines designed to intercept and neutralize Group 1/sUAS threats in real-time. Our flagship product is a low-power, counter-drone system built for the edge—on vehicles, at bases, or in a soldier''s pack.

Why 9 Mothers?

While others build for "awareness" or "long-term research," we build for the immediate survival of those in harm’s way. We are a team of hackers, engineers, and mission-driven builders who value field-ready capability over polished slide decks. If you want to see your code or hardware in the field next month—not next year—this is your playground.

Position Summary

9 Mothers is seeking a Perception Engineer to own the computer vision and machine learning stack that powers target detection, classification, and tracking in our counter-sUAS systems. The Perception Lead is responsible for the research, development, and deployment of the perception pipeline that enables EDDA to engage aerial threats in real time. This is a senior individual contributor position.

Essential Duties

  • Own the visual perception pipeline end-to-end, including detection, classification, and tracking of sUAS targets in real time.

  • Design and train machine learning models that meet latency and accuracy requirements for edge deployment on Jetson-class hardware.

  • Architect and maintain the dataset and simulation pipeline, including data collection, labeling, curation, augmentation, synthetic data generation, and closed-loop retraining based on field performance.

  • Optimize inference performance on Jetson platforms, including model pruning, quantization, TensorRT integration, and custom kernel development as required.

  • Establish the model evaluation framework and metrics used to assess perception performance under operational conditions.

  • Deliver target state information (position, velocity, identity, uncertainty) to the controls subsystem.

  • Collaborate with the hardware team on camera, optics, and sensor selection.

Requirements

  • 6+ years of professional experience in computer vision or machine learning, including production deployment on edge hardware.

  • Demonstrated experience shipping a detection or tracking system under real-world latency, small-object, or adversarial constraints.

  • Strong engineering skills beyond modeling, including experience with PyTorch or JAX through to deployed, optimized inference.

  • Proficiency in Python for model development and C++ or Rust for deployed inference.

  • U.S. citizenship and ability to pass a background check.

Nice-to-Have

  • Experience working with infrared (IR), thermal, or multi-spectrum camera systems.

  • TensorRT and NVIDIA Jetson deployment experience at production scale.

  • Multi-object tracking under challenging conditions.

  • Multi-modal sensor fusion experience (EO/IR, radar, acoustic).

  • Synthetic data generation and sim-to-real methodologies.

  • Prior experience in defense or other safety-critical computer vision applications.

  • Active security clearance, or eligibility to obtain one.

  • A passion for building robots or engineering projects as a hobby.

Benefits

  • Meaningful Early Equity: You aren''t just an employee; you are a foundational owner. Your contributions directly drive the value of your stake in the company.

  • Direct Roadmap Influence: Forget the bureaucracy of big defense. You will have a seat at the table, directly shaping our product and technology trajectory from day one.

  • Mission-Critical Work: We don''t build for "what if." We build systems the Department of War actively needs to counter immediate, real-world threats.

  • The Builder''s Playground: Work in a brand-new lab fully optimized for rapid prototyping, equipped with NVIDIA Jetsons, high-end scopes, and 3-D printers.

  • 100% Employer-Paid Premiums: We cover 100% of your medical, dental, and vision insurance premiums and cover 50% of healthcare premiums for your dependents.

  • Unlimited PTO: We value results, not clock-watching. Take the time you need to stay sharp and recharge.

  • Zero Red Tape: You have the autonomy to make technical decisions that would take months of committee approval at a larger firm.

  • Austin-Based Culture: Join an onsite team in Austin, TX, where we prioritize high-bandwidth collaboration and rapid field-testing.

  • Relocation Assistance: We want the best talent in the room. If you aren''t in Austin yet, we’ll help you get here, to make your transition to the Silicon Hills seamless.

About the Interview

  1. Phone call with recruiter (30 min)

  2. Virtual interview with engineer and Director or CTO (1.5 hours)

  3. In-person visit to Austin (~ 6 hours)

  4. Reference checks & offer