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Junior Software Engineer Jobs in Laredo, TX (NOW HIRING)

Junior Software Engineer information

See Laredo, TX salary details

$40.8K

$83K

$124.6K

How much do junior software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for junior software engineer in Laredo, TX is $82,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $83,800.00 per year, depending on experience, location, and employer.

What is a junior software engineer?

A junior software engineer works on a team with more senior engineers to help design and develop applications, write code, and otherwise maintain or update a business's database. As a junior software engineer, your duties and responsibilities may vary based on what company you work for. Overall, your job is to learn from senior engineers and developers on how to be a software engineer and in what ways you can develop and utilize the technologies of the business to do so. Many junior software engineers have a little bit of knowledge about a lot of technologies but also stay up-to-date on the most current technologies.

How does a junior software engineer typically collaborate with other team members on projects?

Junior Software Engineers usually work closely with senior developers, QA testers, and product managers as part of a cross-functional team. Collaboration often involves participating in daily stand-up meetings, code reviews, and pair programming sessions. Juniors are encouraged to ask questions and seek feedback, which helps them learn best practices and improve their coding skills. Effective communication and a willingness to learn from more experienced colleagues are key to thriving in this collaborative environment.

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

To thrive as a Junior Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and commonly used languages such as Java, Python, or JavaScript, typically backed by a degree in computer science or related field. Familiarity with version control systems like Git, basic knowledge of databases, and experience with development environments and frameworks are usually expected. Strong problem-solving skills, eagerness to learn, and effective teamwork and communication abilities help set you apart. These skills and qualities are crucial for contributing effectively to projects, adapting to evolving technologies, and collaborating within development teams.

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 are popular job titles related to Junior Software Engineer jobs in Laredo, TX?

For Junior Software Engineer jobs in Laredo, TX, the most frequently searched job titles are:

What job categories do people searching Junior Software Engineer jobs in Laredo, TX look for?

The top searched job categories for Junior Software Engineer jobs in Laredo, TX are:

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

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

Infographic showing various Junior Software Engineer job openings in Laredo, TX as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $82,989 per year, or $39.9 per hour.

Quantum Software Engineer (US)

Zapata Quantum

Zapata, TX • On-site

Full-time

Re-posted 27 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.