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Software Engineer Jobs in Wichita Falls, TX (NOW HIRING)

asrcfh

Senior Electrical Engineer

Wichita Falls, TX

$104K - $136K/yr

Key Role: * Perform specific duties and responsibilities related to Electrical engineering ... Knowledge of construction management software, project closeout procedures, preventive maintenance ...

asrcfh

Senior Electrical Engineer

Wichita Falls, TX

$104K - $136K/yr

Key Role: * Perform specific duties and responsibilities related to Electrical engineering ... Knowledge of construction management software, project closeout procedures, preventive maintenance ...

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All JobsSoftware Engineer JobsSoftware Engineer Jobs in Wichita Falls, TX

Software Engineer information

See Wichita Falls, TX salary details

$61.8K

$143.6K

$200K

How much do software engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for software engineer in Wichita Falls, TX is $143,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $168,400.00 per year, depending on experience, location, and employer.

What is a software engineer?

Software Engineers are professionals who design, develop, test, and maintain computer software and systems. They use programming languages, engineering principles, and problem-solving skills to build applications, websites, or software solutions that meet specific needs. Software Engineers may work in a variety of industries, such as technology, finance, healthcare, or entertainment, collaborating with other team members to deliver functional and reliable software. Their role often involves analyzing user requirements, writing code, debugging errors, and continually improving software performance.

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

To thrive as a Software Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are typically required. Excellent teamwork, communication, and adaptability distinguish top performers in this role. These skills ensure efficient, high-quality software development that meets user needs and adapts to technological changes.

What are some common challenges software engineers face when collaborating on large development teams?

Software engineers working on large teams often encounter challenges with communication, code integration, and maintaining consistent coding standards. Coordinating across multiple developers can lead to merge conflicts and misunderstandings about project requirements or priorities. Adopting tools like version control systems, regular code reviews, and clear documentation helps mitigate these issues. Building strong collaboration skills and proactively seeking clarification are key to ensuring smooth teamwork and project success.

What is the difference between Software Engineer vs Software Developer?

AspectSoftware EngineerSoftware Developer
CredentialsBachelor's degree in CS or related field, certificationsBachelor's degree often preferred, certifications optional
Work EnvironmentDesigning, developing, testing, and maintaining software systemsWriting, coding, and implementing software applications
Industry UsageUsed across tech, finance, healthcare, and more for system-level rolesCommonly used in app and web development projects
Search IntentUnderstanding roles, responsibilities, and qualificationsLearning about coding, programming, and project work

While both roles involve software creation, Software Engineers typically focus on designing and architecting complex systems, whereas Software Developers mainly concentrate on coding and building specific applications. The roles often overlap, but the Engineer role may require broader system knowledge and design skills.

Are software engineers still in demand?

Yes, software engineers are in high demand across many industries due to ongoing digital transformation, the growth of cloud computing, and the need for software development, maintenance, and cybersecurity skills. The profession offers strong job stability, competitive salaries, and opportunities to work with various programming languages and tools.

Is 25 too late to become a software engineer?

Age is not a barrier to becoming a software engineer; many professionals start careers in tech in their mid-20s or later. Success depends on acquiring relevant skills, such as programming languages and problem-solving, often through coding bootcamps, online courses, or formal education. Employers value skills and experience over age, making it possible to enter the field at 25 or older.
More about Software Engineer jobs

What are the most commonly searched types of Software Engineer jobs in Wichita Falls, TX?

The most popular types of Software Engineer jobs in Wichita Falls, TX are:

What are popular job titles related to Software Engineer jobs in Wichita Falls, TX?

For Software Engineer jobs in Wichita Falls, TX, the most frequently searched job titles are:

What cities near Wichita Falls, TX are hiring for Software Engineer jobs?

Cities near Wichita Falls, TX with the most Software Engineer job openings:

Software Engineer jobs near you
Infographic showing various Software Engineer job openings in Wichita Falls, TX as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $143,594 per year, or $69 per hour.

Bioinformatics Software Engineer

micro1 AI

Wichita Falls, TX • Remote

$80 - $110/hr

Part-time

Posted 17 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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