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Robotics Deployment Engineer Jobs in Dallas, TX (NOW HIRING)

From autonomous cars to life-saving robots, our digital and software technology experts think ... Support system validation, simulation, and deployment activities while contributing to the ...

Automation, Robotics & Material Handling Systems * Manage and execute parcel sorter initiatives ... operational deployment. * Layouts, Documentation & Training * Develop and maintain CAD machine ...

Automation, Robotics & Material Handling Systems * Manage and execute parcel sorter initiatives ... operational deployment. * Layouts, Documentation & Training * Develop and maintain CAD machine ...

Sr. Industrial Engineer

Fort Worth, TX · On-site

$41 - $56/hr

Capital Projects & Equipment Deployment: * Lead capital project execution from concept through ... Automation, robotics, CNC equipment, saw lines, roll-forming, press lines, finishing systems, and ...

... deployment of automation solutions that deliver measurable business value. The analyst collaborates ... Assess automation-related workflows involving conveyors, sorters, robotics, A-Frames, OSRs, AMRs ...

... deployment of automation solutions that deliver measurable business value. The analyst collaborates ... Assess automation-related workflows involving conveyors, sorters, robotics, A-Frames, OSRs, AMRs ...

... deployment. This role will focus on conceiving, designing, developing, programing, and maintaining innovative machinery that may include robotics, mechatronics, inspection, sortation, packaging ...

Showing results 41-60

Robotics Deployment Engineer information

See Dallas, TX salary details

$35.1K

$108.4K

$168.2K

How much do robotics deployment engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for robotics deployment engineer in Dallas, TX is $108,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a robotics deployment engineer?

Robotics Deployment Engineers are professionals who specialize in installing, integrating, and configuring robotic systems in real-world settings. They work closely with clients to ensure robots are properly set up, tested, and optimized for specific operational needs. Their responsibilities often include troubleshooting hardware and software issues, providing on-site support, and training staff on using robotic equipment. These engineers play a critical role in making sure robotics technology transitions smoothly from the lab or factory to its intended application environment.

What are some typical challenges faced by robotics deployment engineers during on-site installations?

Robotics Deployment Engineers often encounter challenges such as adapting to varying facility layouts, integrating new robotic systems with existing infrastructure, and troubleshooting unexpected hardware or software issues during deployment. Communication and collaboration with local IT, operations, and maintenance teams are key to overcoming these obstacles, as each site may present unique requirements or constraints. Being flexible and solution-oriented is essential, as timelines can be tight and successful deployment often hinges on quickly resolving integration and performance concerns.

What are the key skills and qualifications needed to thrive as a robotics deployment engineer, and why are they important?

To thrive as a Robotics Deployment Engineer, you need a strong background in robotics, mechanical or electrical engineering, and experience with system integration, often supported by a relevant engineering degree. Familiarity with programming languages (such as Python or C++), robotics middleware (like ROS), and hands-on experience with automation hardware and control systems are typically essential. Problem-solving, adaptability, and excellent communication skills help you coordinate with cross-functional teams and address client needs effectively. These skills ensure successful on-site deployment, troubleshooting, and optimization of robotic systems in diverse environments.

What cities near Dallas, TX are hiring for Robotics Deployment Engineer jobs?

Cities near Dallas, TX with the most Robotics Deployment Engineer job openings:

Infographic showing various Robotics Deployment Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $108,381 per year, or $52.1 per hour.

Perception Engineer III - Contract

Autonomous Solutions

Fort Worth, TX • On-site

$109K - $144K/yr

Contractor

Medical, Retirement, PTO

Re-posted 5 days ago


Job description

ASI is expanding its teams to support its current ramp-up across development work, customer projects, and product deployments. This is a full-time W-2 contract position. The selected candidate will interview with ASI and work as an integrated member of the ASI team. W-2 employment, payroll, and benefits will be administered through one of ASI's staffing partners. Development phases of this nature typically span up to project completion (typically 2-4 years), though scope and duration are driven by business 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. 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.