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Computer Science Engineer Jobs in Laredo, TX (NOW HIRING)

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

PhD in Physics, Computer Science, Applied Mathematics, or a related field, or equivalent industry ... Proficiency with quantum-related programming and tooling (e.g., circuit simulation, compilation ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required) * Strong product instincts & passion for social media, technology, and staying current with ...

Students graduating in 2025 or later, currently pursuing a Bachelor's degree in Chemical Engineering, Electrical Engineering, Computer Science, or another hard science Preference for students who ...

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Computer Science Engineer information

See Laredo, TX salary details

$42.6K

$106.7K

$120.7K

How much do computer science engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for computer science engineer in Laredo, TX is $106,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $115,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science Engineer, and why are they important?

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.

What are some typical projects or tasks a Computer Science Engineer might work on within a multidisciplinary team?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

What are Computer Science Engineers?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.
What job categories do people searching Computer Science Engineer jobs in Laredo, TX look for? The top searched job categories for Computer Science Engineer jobs in Laredo, TX are:
What cities near Laredo, TX are hiring for Computer Science Engineer jobs? Cities near Laredo, TX with the most Computer Science Engineer job openings:
Infographic showing various Computer Science Engineer job openings in Laredo, TX as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $106,666 per year, or $51.3 per hour.

Quantum Algorithm Scientist (US only)

Zapata Quantum

Zapata, TX โ€ข On-site

Full-time

Posted 7 days ago


Job description

About the role
We are seeking a Quantum Algorithm Scientist to design, analyze, and benchmark quantum algorithms that deliver real-world advantage. The role sits at the intersection of theory and practice-translating problems from domains such as cryptography, chemistry, finance, materials discovery, and defense into concrete quantum circuits, and rigorously evaluating their resource requirements on both near-term and fault-tolerant hardware.
This position offers a high level of individual ownership and is well-suited to scientists who are comfortable working independently within a small, focused team. You will partner with quantum software engineers and domain experts to push the state of the art, with opportunities to publish, contribute to open-source quantum frameworks, and shape deliverables for government and commercial programs. This position is classified as exempt under applicable wage and hour laws.
What you'll do
  • Design, analyze, and optimize quantum algorithms for applications in cryptography, chemistry, finance, materials science, and defense
  • Perform end-to-end resource estimation for quantum workloads on both near-term (NISQ) and fault-tolerant hardware architectures
  • Develop and benchmark novel circuit compilation, error mitigation, and algorithmic primitives
  • Translate customer and domain-specific problems into well-posed quantum computational tasks
  • Contribute to technical reports, peer-reviewed publications, and government program deliverables
  • Work directly with customers to scope, develop, and deliver proof-of-concept engagements that demonstrate quantum value for their use cases
  • Partner with internal software engineers to improve the quality, correctness, and performance of product deliverables
  • Independently analyze complex scientific problems and communicate results clearly to both technical and non-technical audiences

Qualifications
  • PhD in Physics, Computer Science, Applied Mathematics, or a related field
  • Deep understanding of quantum computing fundamentals, including the circuit model, quantum error correction, and complexity theory
  • Broad familiarity with many types of quantum algorithms and primitives (e.g., QPE, VQE, QAOA, Hamiltonian simulation, amplitude amplification, block encoding)
  • Strong mathematical foundations in linear algebra, probability, and numerical methods
  • Track record of peer-reviewed publications, preprints, or equivalent technical output
  • Proficiency in some area of quantum-related programming (e.g., circuit simulation, compilation, resource estimation, or scientific computing)
  • Ability to work independently, scope open-ended problems, and manage deliverables with minimal oversight
  • Familiarity with modern AI tools and a drive to use them to make research and development systems more efficient

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.