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Entry Level Sensor Fusion Engineer Jobs in Irving, TX

Engineering Aide

Fort Worth, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will be the Engineering Aide for the Sensor Fusion team which is responsible for supporting engineering initiatives and ensuring data integrity. What You Will Be Doing As the Engineering Aide you ...

Systems Engineer II - Signal Processing

Dallas, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As the Systems Engineer II - Signal Processing , you will collaborate in the design, development ... and sensor fusion. This is an onsite position located in Tucson, AZ. What You Will Do * You will ...

... or sensor fusion system Experience working in retail, edge + cloud hybrid environments, or real ... Engineering 3. CI/CD 4. Experience with MLOps driven data science outcomes and handle ML ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Sensor Fusion Alignment: Cross-reference visual camera telemetry with heavy vehicle sensors (GPS ... Desired Skills & Experience - Nice to have Background in Mining Engineering, Geotechnical ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... sensor data fusion, and rigorous QA review, creating high-quality datasets for advanced AI models ... Engineering, Geotechnical Engineering, Robotics, Autonomous Vehicles, or related fields ...

Must have entry level diagnosis and troubleshooting skilled as required in a manufacturing plant ... Must have basic electrical skills (motor replacement, sensor replacement, understanding of PLC ...

Maintenance Technician

Carrollton, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have entry level diagnosis and troubleshooting skilled as required in a manufacturing plant ... Must have basic electrical skills (motor replacement, sensor replacement, understanding of PLC ...

Maintenance Technician

Carrollton, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have entry level diagnosis and troubleshooting skilled as required in a manufacturing plant ... Must have basic electrical skills (motor replacement, sensor replacement, understanding of PLC ...

Maintenance Technician

Carrollton, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have entry level diagnosis and troubleshooting skilled as required in a manufacturing plant ... Must have basic electrical skills (motor replacement, sensor replacement, understanding of PLC ...

Maintenance Technician

Carrollton, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have entry level diagnosis and troubleshooting skilled as required in a manufacturing plant ... Must have basic electrical skills (motor replacement, sensor replacement, understanding of PLC ...

Maintenance Technician

Carrollton, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have entry level diagnosis and troubleshooting skilled as required in a manufacturing plant ... Must have basic electrical skills (motor replacement, sensor replacement, understanding of PLC ...

Entry Level Sensor Fusion Engineer information

See Irving, TX salary details

$17

$31

$52

How much do entry level sensor fusion engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level sensor fusion engineer in Irving, TX is $31.88, according to ZipRecruiter salary data. Most workers in this role earn between $25.87 and $36.01 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Sensor Fusion Engineer vs Entry Level Robotics Engineer?

AspectEntry Level Sensor Fusion EngineerEntry Level Robotics Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related field; knowledge of sensor systemsBachelor's in Mechanical, Electrical, or Robotics Engineering; programming skills
Work EnvironmentResearch labs, automotive, aerospace, or tech companies focusing on sensor data integrationManufacturing, automation, or research labs working on robotic systems
Industry UsageAutonomous vehicles, drones, sensor networksIndustrial automation, service robots, research projects

Entry Level Sensor Fusion Engineers focus on integrating data from multiple sensors to improve system accuracy, often working with sensor hardware and algorithms. In contrast, Entry Level Robotics Engineers design and develop robotic systems, which may include sensor integration but also involve mechanical design and control systems. Both roles require a strong technical background, but their primary focus differs—sensor fusion emphasizes data processing, while robotics emphasizes system design and functionality.

What cities near Irving, TX are hiring for Entry Level Sensor Fusion Engineer jobs?

Cities near Irving, TX with the most Entry Level Sensor Fusion Engineer job openings:

Infographic showing various Entry Level Sensor Fusion Engineer job openings in Irving, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $66,310 per year, or $31.9 per hour.

Engineer, State Estimation (Dallas/San Diego/Boston/ DC/ San Fran)

Shield AI

Dallas, TX

$120K - $250K/yr

Full-time

Re-posted 17 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. 

Job Description:
As a State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability.
 
Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.
What you'll do:
  • Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments.
  • Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks.
  • Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance.
  • Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems.
  • Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions.
  • Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.
Required qualifications:
  • Typically requires a minimum of 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 years with a PhD; or equivalent practical experience.
  • Familiarity with algorithms.
  • Proficient in C++11 or newer in real-time environments.
  • Comfortable working in Linux, with experience using standard command-line tools and scripting.
  • Strong written and verbal communication skills with a collaborative mindset.
  • Demonstrated success working in fast-paced development cycles and delivering high-quality results.
Preferred qualifications:
  • Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors.
  • Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters).
  • Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions.
  • Exposure to visual odometry or computer vision-based navigation approaches.
  • Experience optimizing code for performance on compute-constrained platforms.
  • Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs).
  • Experience transitioning navigation solutions from research into production environments.
#LI-SM1
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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.
 
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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.