ZipRecruiter

Log In

1

Senior Perception Engineer Jobs in Texas (NOW HIRING)

Booster

Staff Perception Hardware Engineer

Austin, TX · On-site

$120 - $160/hr

The Role Apptronik is seeking a Staff Perception Hardware Engineer to serve as the execution leader ... Mentor senior and junior engineers in the lab, establishing a culture of rigorous physical testing ...

Apptronik

Staff Perception Hardware Engineer

Austin, TX · On-site

Mentor senior and junior engineers in the lab, establishing a culture of rigorous physical testing ... A proven track record of taking complex perception hardware-including custom-defined sensor modules ...

Apptronik

Staff Perception Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

Mentor senior and junior engineers in the lab, establishing a culture of rigorous physical testing ... A proven track record of taking complex perception hardware-including custom-defined sensor modules ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will work across perception, sensor fusion, and flight systems to improve how aircraft ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will work across perception, sensor fusion, and flight systems to improve how aircraft ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will work across perception, sensor fusion, and flight systems to improve how aircraft ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

Shield AI

Senior Manager, Perception (R5914)

Dallas, TX · On-site

$240K - $360K/yr

In this role, you will contribute to implementing and integrating innovative perception solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational ...

Shield AI

Senior Manager, Perception (R5914)

Dallas, TX · On-site

$240K - $360K/yr

In this role, you will contribute to implementing and integrating innovative perception solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational ...

Caterpillar Brazil

Senior Robotics Engineer

Irving, TX · On-site

$113 - $183/hr

... and targeting cookies.#Senior Robotics Engineer page is loaded## Senior Robotics ... Design, build, and ship autonomy components across perception, planning, control, and learning.

previous pagenext page

Showing results 21-40

All JobsPerception Engineer JobsSenior Perception Engineer JobsSenior Perception Engineer Jobs in Texas

Senior Perception Engineer information

What is a senior perception engineer?

Senior Perception Engineers are specialized professionals who design and develop advanced perception systems for machines, such as autonomous vehicles or robots. They work on algorithms and sensor fusion techniques to help machines interpret and understand their environment, enabling safe navigation and decision-making. Their role often involves collaborating with cross-functional teams, optimizing software for real-time performance, and integrating sensor data from cameras, LiDAR, radar, and other sources. Senior-level engineers typically have several years of experience and take on leadership responsibilities within perception teams.

What are the key skills and qualifications needed to thrive as a senior perception engineer?

To thrive as a Senior Perception Engineer, you need a strong background in computer vision, machine learning, and sensor data processing, typically supported by a degree in computer science, robotics, or a related field. Proficiency with tools such as Python, C++, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) is essential, along with experience working with LiDAR, radar, and camera systems. Excellent problem-solving abilities, collaboration, and strong communication skills help you tackle complex challenges and integrate seamlessly with multidisciplinary teams. These skills ensure the development of robust perception systems critical for the safety and performance of autonomous vehicles or robotic platforms.

How does a senior perception engineer typically collaborate with cross-functional teams in autonomous systems development?

As a Senior Perception Engineer, you will work closely with experts in robotics, software engineering, and hardware integration to develop and refine perception algorithms for autonomous systems. Collaboration often involves frequent meetings with sensor teams to ensure data quality, as well as alignment with planning and controls engineers to guarantee that perception outputs meet system requirements. You may also participate in code reviews, joint debugging sessions, and design discussions to ensure seamless integration of perception modules. This cross-disciplinary teamwork is essential for building reliable and robust autonomous solutions.

What is the difference between Senior Perception Engineer vs Computer Vision Engineer?

AspectSenior Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in perception algorithmsBachelor's/Master's in CS, EE, or related; strong background in image processing and algorithms
Work EnvironmentAutonomous vehicles, robotics, AI systemsImage analysis, machine learning, AI applications
Employer & Industry UsageTech companies, automotive, roboticsTech firms, research labs, automotive
Common Search & ComparisonOften compared due to overlapping skills in perception and visionRelated but more focused on visual data processing

While both roles involve working with perception and visual data, a Senior Perception Engineer typically focuses on integrating perception systems into autonomous platforms, whereas a Computer Vision Engineer specializes in developing algorithms for image and video analysis. The roles often overlap but differ in application focus and industry usage.

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 cities in Texas are hiring for Senior Perception Engineer jobs?

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

Senior Perception Engineer jobs near you
Infographic showing various Senior Perception Engineer job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Staff Software Engineer, Perception (R4985)

Shield AI

Dallas, TX • On-site

$233K - $350K/yr

Full-time

Re-posted 9 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 
In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. 
What You'll Do:

Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:

  • Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience.

  • Mastery of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:

  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

$233,760 - $350,640 a year
#LI-DS-1
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply