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Full Time Engineering Jobs in Taylor, TX (NOW HIRING)

TCEQ - Engineer III

Austin, TX ยท On-site

$6.9K/mo

Qualifying work experience that obtained post licensure as an engineering graduate student or teacher. Career Ladder Progression One year of fulltime experience at TCEQ as an Engineer II. Employees ...

FPGA Engineer Intern (Summer 2027 - Austin)

Austin, TX ยท On-site +1

$18.75 - $24.75/hr

You'll experience what it's like to be a full-time engineer at a leading trading firm - working on projects that blend cutting-edge FPGA technology with real-world trading strategies, directly ...

FPGA Engineer Intern (Summer 2027 - Austin)

Austin, TX ยท On-site

$18.75 - $24.75/hr

You'll experience what it's like to be a full-time engineer at a leading trading firm - working on projects that blend cutting-edge FPGA technology with real-world trading strategies, directly ...

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Showing results 1-20

Full Time Engineering information

See Taylor, TX salary details

$47K

$148.3K

$175.7K

How much do full time engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for full time engineering in Taylor, TX is $148,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $174,700.00 per year, depending on experience, location, and employer.

What is a full-time engineering job?

A full-time engineering job typically refers to a professional position in which an engineer works a standard workweek, usually around 40 hours, with benefits such as health insurance and paid time off. Engineers in these positions may specialize in fields like civil, mechanical, electrical, or software engineering, and are responsible for designing, building, testing, and maintaining systems or products. Full-time roles often provide more stability and opportunities for career advancement compared to part-time or contract positions.

What are the key skills and qualifications needed to thrive as a full-time engineer?

To thrive as a Full-Time Engineer, you need a solid background in engineering principles, analytical problem-solving, and a relevant degree such as a BS or MS in engineering. Familiarity with industry-standard software (e.g., AutoCAD, MATLAB, SolidWorks) and certifications like Professional Engineer (PE) are often required. Strong communication, teamwork, and adaptability are crucial soft skills for collaborating on complex projects and responding to challenges. These skills and qualifications ensure effective project execution, innovation, and the ability to meet organizational objectives in a competitive field.

What are some common challenges faced by full-time engineers when working on large, cross-functional projects?

Full-time engineers often encounter challenges such as coordinating with diverse teams, managing shifting project requirements, and balancing multiple priorities. Effective communication is crucial, as engineers frequently collaborate with product managers, designers, and other stakeholders to ensure project goals are met. Adapting to new technologies and keeping up with industry standards can also be demanding but provides valuable growth opportunities. Proactively seeking feedback and leveraging teamwork can help navigate these challenges and contribute to successful project outcomes.

What is the difference between Full Time Engineering vs Part Time Engineering?

AspectFull Time EngineeringPart Time Engineering
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
CredentialsUsually requires a bachelor's degree in engineeringMay require similar credentials but often less experience
Work EnvironmentFull-time employment in offices, labs, or on-siteFlexible or reduced hours, often remote or freelance
Employer UsageCompanies hiring full-time engineers for ongoing projectsOrganizations seeking part-time or project-based engineering support

Full Time Engineering involves working standard hours with benefits and job stability, while Part Time Engineering offers flexible hours with potentially less job security. Both roles require engineering credentials but differ mainly in hours and employment structure.

What are the most commonly searched types of Engineering jobs in Taylor, TX?

The most popular types of Engineering jobs in Taylor, TX are:

What job categories do people searching Full Time Engineering jobs in Taylor, TX look for?

The top searched job categories for Full Time Engineering jobs in Taylor, TX are:

What cities near Taylor, TX are hiring for Full Time Engineering jobs?

Cities near Taylor, TX with the most Full Time Engineering job openings:

Infographic showing various Full Time Engineering job openings in Taylor, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, 1% Hybrid, and 11% Remote job distribution, with an average salary of $148,305 per year, or $71.3 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

As a Junior Software Engineer with Texas Sports Academy, you'll help build the software that runs our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.
What You Will Be Doing
  • Building and shipping product features across the full stack every week, with AI coding tools running alongside you.
  • Contributing to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them.
  • Working directly with the founders and senior engineers on scope and trade-offs, no PM layer in between.
  • Picking up ownership of smaller systems end-to-end and growing into bigger ones.
  • Running your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and getting sharper at it every week.
  • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.

What You Will NOT Be Doing
  • Pretending AI is optional. If you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you.
  • Sitting in status meetings all day. Few meetings, more shipping.
  • Working on a narrow slice of a giant codebase.
  • Waiting around for tickets. You'll be in the room when we decide what to build.

Key Responsibilities
  • Ship production code and AI features that real students, parents, and staff rely on every day.
  • Own smaller systems and features end-to-end as you ramp up.
  • Move fast. Features go from idea to production in days, not quarters, without breaking things.
  • Level up your AI-engineering chops alongside a senior team.

Requirements
  • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
  • 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count.
  • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
  • Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
  • Excellent written English.
  • Based in Austin, TX.
Nice to Have
  • At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
  • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
  • Public GitHub or a personal AI project we can actually try.
  • A personal project you built because you wanted to.
  • Background in education, edtech, or sports.