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Human Systems Engineering Jobs in Dallas, TX (NOW HIRING)

HubSpot Systems Administrator

Irving, TX · On-site +1

$127K - $199K/yr

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and ... Collaborates with Architecture, Engineering and Operations teams to define plans for standardizing ...

Senior Systems Operations Engineer

Irving, TX · Hybrid

$100K - $137K/yr

Contribute to increasing system efficiencies and lowering the human intervention time on related ... Engineering, Technology Architecture experience, or equivalent demonstrated through one or a ...

Senior Control Systems Engineer

Arlington, TX · On-site

$150K - $155K/yr

Our diverse leadership and dedicated engineering team are committed to excellence and consistent ... Expert with Human-Machine Interface (HMI) and Programmable Logic Controller (PLC) applications.

Senior Control Systems Engineer

Arlington, TX · On-site

$150K - $155K/yr

Our diverse leadership and dedicated engineering team are committed to excellence and consistent ... Expert with Human-Machine Interface (HMI) and Programmable Logic Controller (PLC) applications.

Senior Control Systems Engineer

Arlington, TX · On-site

$150K - $155K/yr

Our diverse leadership and dedicated engineering team are committed to excellence and consistent ... Expert with Human-Machine Interface (HMI) and Programmable Logic Controller (PLC) applications.

Senior Control Systems Engineer

Arlington, TX · On-site

$150K - $155K/yr

Our diverse leadership and dedicated engineering team are committed to excellence and consistent ... Expert with Human-Machine Interface (HMI) and Programmable Logic Controller (PLC) applications.

Showing results 21-40

Human Systems Engineering information

See Dallas, TX salary details

$59.8K

$140.5K

$193.9K

How much do human systems engineering jobs pay per year?

As of Sep 9, 2026, the average yearly pay for human systems engineering in Dallas, TX is $140,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $171,100.00 per year, depending on experience, location, and employer.

What is a human systems engineering?

A Human Systems Engineering job focuses on optimizing the interaction between people and complex systems to improve performance, safety, and user experience. Professionals in this field apply principles from psychology, engineering, and design to create user-friendly interfaces, enhance decision-making, and reduce human error. They work in industries such as aerospace, healthcare, defense, and technology, ensuring that systems align with human capabilities and limitations.

What are the typical challenges human systems engineers face when working on multidisciplinary teams?

Human Systems Engineers often collaborate with professionals from engineering, design, psychology, and management, which can present challenges in aligning goals, terminology, and priorities. Bridging the gap between user needs and technical constraints requires strong communication and negotiation skills. Successfully advocating for human-centered design decisions sometimes involves balancing project timelines and stakeholder expectations. However, this collaboration is rewarding, as it leads to innovative, effective solutions and provides valuable opportunities to learn from a diverse group of experts.

What are the key skills and qualifications needed to thrive in human systems engineering, and why are they important?

To thrive as a Human Systems Engineer, you need a solid understanding of human factors, systems engineering principles, ergonomics, and usually a degree in engineering, psychology, or a related field. Familiarity with modeling and simulation tools, usability testing software, and certifications like Certified Professional Ergonomist (CPE) or INCOSE Systems Engineering Professional are valuable. Strong analytical thinking, communication, and teamwork skills help navigate complex, interdisciplinary projects. These competencies enable successful design and integration of human-centered solutions that optimize system performance and user experience.

What can you do with a human systems engineering degree?

A human systems engineering degree prepares individuals for roles that involve designing, analyzing, and improving complex systems involving human interaction, such as user experience, safety, and ergonomics. Graduates can work as systems engineers, human factors specialists, usability analysts, or in roles related to safety and performance optimization across industries like aerospace, healthcare, and technology. Skills in systems modeling, human-centered design, and data analysis are often essential in these positions.

What is the job outlook for human systems engineers?

The job outlook for human systems engineers is positive, with demand driven by advancements in technology, user-centered design, and system integration across industries such as aerospace, healthcare, and defense. Employment is expected to grow at a rate comparable to or faster than the average for all occupations, with opportunities for those with skills in systems analysis, ergonomics, and relevant software tools.

What are the most commonly searched types of Human Systems Engineering jobs in Dallas, TX?

The most popular types of Human Systems Engineering jobs in Dallas, TX are:

What are popular job titles related to Human Systems Engineering jobs in Dallas, TX?

For Human Systems Engineering jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Human Systems Engineering jobs in Dallas, TX look for?

The top searched job categories for Human Systems Engineering jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Human Systems Engineering jobs?

Cities near Dallas, TX with the most Human Systems Engineering job openings:

Infographic showing various Human Systems Engineering job openings in Dallas, TX as of September 2026, with employment types broken down into 4% Internship, 77% Full Time, and 19% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $140,540 per year, or $67.6 per hour.

Systems Engineering Intern - Machine Learning Expert

Dallas, TX • On-site

Texas Instruments
Semiconductor and Electronic Component Manufacturing • 10K+ employees

Internship

Posted 4 days ago


Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

52nd of 161 rated electronics manufacturers


Job description

Change the world. Love your job. 
We are seeking a highly motivated PhD student to join our Generative AI team this fall to work on cutting-edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will focus on advancing the state-of-the-art in LLMs and Agentic LLMs, with applications in coding generation and optimization. Your work will involve exploring innovative approaches to integrate LLMs with other AI techniques to achieve human-like decision-making capabilities.

In this machine learning research engineer intern role, you'll have the chance to: 

  • Research and develop novel LLM architectures and training methods to improve performance and efficiency

  • Explore the application of LLMs in coding generation, optimization, and other areas of interest

  • Collaborate with internal business teams to define and implement AI strategies for our products

  • Develop and maintain large-scale deep learning systems, incorporating LLMs and other AI techniques

  • Participate in the design and implementation of advanced Agentic LLM system

About Us:

Texas Instruments Incorporated (TI) is a global semiconductor design and manufacturing company that develops analog and embedded processing ICs. By employing the world's brightest minds, TI innovates that shape the future of technology with commits to building a better future. The future which covers from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back to our communities and developing great minds. Put your talent to work with us - change the world, love your job!

Kilby Labs, TI's central technology organization, is a global organization grouped by a variety of research engineers from multiple technology disciplines to deliver semiconductor technologies and solutions for future large volume products in a fast moving pace. The engineer is expected to do system modeling and simulations for solutions feasibility study, define and build system prototypes to demonstrate the functionality and understand application needs and limitations.

Our Generative AI team is at the forefront of AI research, developing and applying AI algorithms, training models, and optimizing hardware and software for real-world problem-solving. We are passionate about harnessing the power of AI to create intelligent systems that can interact, learn, and adapt in complex environments.

Why TI?
  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Minimum Requirements:

  • Currently enrolled in a PhD program in Computer Science, Electrical and Computer Engineering, Statistics, or related fields

  • Cumulative 3.0/4.0 GPA or higher

Preferred Qualifications:

  • Solid background in Natural Language Processing, Large Language Models, and Deep Learning frameworks

  • Proven track record of designing, developing, and deploying machine learning models/LLMs as demonstrated by first-authored publications at leading AI/ML workshops or conferences

  • Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization

  • Excellent understanding of LLM architectures and transformer-based models

  • Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm)

  • Knowledge of few-shot learning, transfer learning, and fine-tuning

  • Knowledge of LLM performance evaluation

  • Knowledge of reinforcement learning for LLM; 

  • Knowledge of LLM post-training implementation, including PPO, DPO, and GRPO

  • Experience with Agentic AI implementation with tool calling

  • Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team


What Texas Instruments employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Texas Instruments logo

About Texas Instruments

Sourced by ZipRecruiter

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930