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Mid Level Software Engineer Jobs in Laredo, TX (NOW HIRING)

NJ Tech

Java Developer

Laredo, TX · On-site

$44.75 - $58/hr

Implementing proof of concept, prototypes and production-grade software; Creating unit and ... level of effort and take responsibility and accountability of stories and tasks - Must be willing ...

NJ Tech

Java Developer

Laredo, TX

$44.75 - $58/hr

Implementing proof of concept, prototypes and production-grade software; Creating unit and ... level of effort and take responsibility and accountability of stories and tasks - Must be willing ...

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All JobsMid Level Software Engineer JobsMid Level Software Engineer Jobs in Laredo, TX

Mid Level Software Engineer information

See Laredo, TX salary details

$55.7K

$129.5K

$180.4K

How much do mid level software engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for mid level software engineer in Laredo, TX is $129,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $151,900.00 per year, depending on experience, location, and employer.

What is a mid level software engineer?

A Mid Level Software Engineer is a professional with a few years of experience who develops, tests, and maintains software applications. They work independently on tasks, contribute to code reviews, and collaborate with teams to design and implement solutions. Mid-level engineers are expected to write clean, efficient code, troubleshoot issues, and improve system performance. They may also mentor junior developers and participate in architectural discussions. Typically, they have strong problem-solving skills and proficiency in programming languages relevant to their role.

What typical responsibilities can I expect as a mid level software engineer?

As a Mid Level Software Engineer, you will be involved in designing, coding, testing, and maintaining software applications, often working on both new and existing projects. You’ll collaborate with other engineers, product managers, and QA teams to deliver features that meet business requirements, while also participating in code reviews and contributing to architectural decisions. Your responsibilities may also include troubleshooting bugs, refining development processes, and occasionally mentoring junior engineers. This role typically offers a blend of technical challenge, teamwork, and opportunities for continued skill development.

What are the key skills and qualifications needed to thrive in the mid level software engineer position, and why are they important?

To thrive as a Mid Level Software Engineer, you need a solid understanding of software development principles, programming languages such as Java, Python, or C#, and a bachelor’s degree in computer science or a related field. Experience with version control systems like Git, familiarity with agile methodologies, and sometimes certifications such as AWS Certified Developer or Microsoft Certified: Azure Developer Associate are advantageous. Strong problem-solving skills, teamwork, and effective communication are standout soft skills in this position. These combined skills enable engineers to deliver high-quality code, collaborate efficiently within development teams, and adapt to evolving project requirements.

Is 25 too late to become a mid level software engineer?

Age is not a strict barrier to becoming a mid level software engineer; many professionals transition into software development in their mid-20s or later. Success depends on acquiring relevant skills, such as programming languages and experience with development tools, through self-study, coding bootcamps, or formal education. Employers value skills and experience over age, so with dedication, starting at 25 is entirely feasible.

What does a mid level software engineer earn?

A mid-level software engineer typically earns between $80,000 and $120,000 annually, depending on location, industry, and experience. They often have 2-5 years of experience and may work with programming languages like Java, Python, or C++, using tools such as Git and Agile methodologies.

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

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

What cities near Laredo, TX are hiring for Mid Level Software Engineer jobs?

Cities near Laredo, TX with the most Mid Level Software Engineer job openings:

Mid Level Software Engineer jobs near you
Infographic showing various Mid Level Software Engineer job openings in Laredo, TX as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,496 per year, or $62.3 per hour.

Quantum Software Engineer (US)

Zapata, TX • On-site

Zapata Quantum
See more jobs at Zapata Quantumexternal

Full-time

Re-posted 6 days ago

Job description

About the role
We are seeking a Quantum Software Engineer to build AI-powered tools that massively accelerate how quantum applications are designed and resource-estimated. You will fuse modern AI-LLMs, coding agents, and ML-based heuristics-with quantum circuit construction, compilation, and analysis, compressing workflows that currently take weeks of expert effort into hours. Your tooling will directly shape Zapata's ability to evaluate and deliver quantum solutions across cryptography, pharmaceuticals, finance, materials discovery, and defense.
This position offers a high level of individual ownership and is well-suited to engineers who are excited to push the frontier of AI-assisted scientific software within a small, focused team. You will partner closely with algorithm scientists and customers to understand their design and resource-estimation workflows, then build tools that turn those workflows into automated, scalable pipelines. This position is classified as exempt under applicable wage and hour laws.
What you'll do
  • Design and build AI-powered tools that accelerate quantum application design-from problem intake through algorithm selection, circuit construction, and validation
  • Develop automated resource estimation pipelines that use LLMs and ML models to rapidly predict qubit counts, gate counts, and runtime for candidate quantum solutions
  • Build agentic workflows that orchestrate quantum SDKs, compilation passes, simulators, and analysis tools
  • Integrate state-of-the-art AI coding assistants and LLM APIs directly into internal scientific tooling to compress expert-led workflows into automated pipelines
  • Benchmark and continuously improve the accuracy, speed, and reliability of AI-driven tooling against expert-curated baselines
  • Collaborate closely with quantum algorithm scientists to capture their reasoning and encode it into reusable AI-driven tools
  • Deliver high-quality software with minimal supervision, demonstrating autonomy in execution and technical decision-making

Qualifications
  • Strong software engineering fundamentals, including testing, code review, and CI/CD practices
  • BS or MS in Computer Science, Physics, Engineering, or a related field, or equivalent professional experience
  • Demonstrated experience shipping software that leverages LLMs, AI agents, or other machine learning components
  • Proficient programming skills in Python, with working knowledge of modern LLM APIs (Anthropic, OpenAI, or equivalent) and tool-use / function-calling patterns
  • Deep familiarity with AI-assisted development workflows (Claude Code, Cursor, or similar) and a drive to use them to massively accelerate your own output and that of the team
  • Familiarity with quantum computing concepts and a willingness to learn quantum algorithms and resource estimation in depth
  • Ability to work independently and manage deliverables with minimal oversight
  • Strong judgment about when to apply AI and when not to
  • A commitment to measuring tool quality against expert baselines

Desired Programming Skills
  • Python - for tooling, scientific code, and LLM-powered applications
  • LLM APIs and tool-use / function-calling patterns (Anthropic, OpenAI, or similar)
  • Agent frameworks and orchestration (LangGraph, pydantic-ai, or custom harnesses)
  • Quantum SDKs (Qiskit, Cirq, PennyLane, or similar) for scripting design and estimation workflows
  • AI-assisted development (e.g., Claude Code)
  • Git and modern CI/CD tooling
  • Evals and benchmark design for AI systems
  • Software testing frameworks (pytest, hypothesis)
  • NumPy, SciPy, and the scientific Python stack
  • Retrieval-augmented generation and vector databases
  • Containerization (Docker) and cloud infrastructure (AWS, Azure, or GCP)
  • Prompt Engineering

Preferred Experience
  • Demonstrated experience shipping software that leverages LLMs, AI agents, or other machine learning components
  • Experience building developer tools, scientific workflows, or research automation that leverages AI to speed up expert work
  • Strong communication skills and comfort collaborating across research and engineering teams

About Zapata Quantum
Zapata Quantum is shaping the future of quantum computing: setting the standards for what's viable, valuable, and worth building. The Company powers quantum applications across cryptography, pharmaceuticals, finance, materials discovery, defense, and beyond, translating cutting-edge research into real-world impact.
Zapata is the only organization to have contributed across every technical area of DARPA's Quantum Benchmarking program, giving it a uniquely comprehensive view of what it takes to make quantum computing work in practice. Now restructured and sharply focused, Zapata Quantum stands alone as the only publicly traded, pure-play quantum software company fully dedicated to unlocking quantum's commercial potential.
We're rebuilding at a pivotal moment for the industry-bringing together a team that will help define how quantum delivers value in the real world, with the opportunity for meaningful ownership as we shape the commercial path forward.

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