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Student Programmer Jobs in Austin, TX (NOW HIRING)

Academic Success Coach

Austin, TX · On-site

$44K - $46K/yr

Coordinate and execute student programming related to student success for members of the cohort. * Ability to balance priorities to accomplish assigned tasks within the required time frame and be ...

Academic Success Coach

Austin, TX · On-site

$44K - $46K/yr

Coordinate and execute student programming related to student success for members of the cohort. * Ability to balance priorities to accomplish assigned tasks within the required time frame and be ...

Academic Success Coach

Austin, TX · On-site

$44K - $46K/yr

Coordinate and execute student programming related to student success for members of the cohort.Ability to balance priorities to accomplish assigned tasks within the required time frame and be able ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online FE - Civil Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ...

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Student Programmer information

See Austin, TX salary details

$11

$39

$68

How much do student programmer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for student programmer in Austin, TX is $39.19, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $51.01 per hour, depending on experience, location, and employer.

What is a student programmer?

A Student Programmer is typically a student who works part-time or as an intern, developing software or scripts for a company, research project, or university department. Responsibilities may include coding, debugging, testing, and collaborating with other developers. This role helps students gain practical experience while improving their programming skills in a real-world environment.

What are the key skills and qualifications needed to thrive as a student programmer?

To thrive as a Student Programmer, a solid grasp of programming fundamentals, problem-solving abilities, and familiarity with at least one programming language (such as Python, Java, or C++) are important, often gained through coursework or projects. Experience using development environments (IDEs), version control systems like Git, and sometimes participation in coding bootcamps or technical certifications can be valuable. Strong communication, teamwork, and time management skills help Student Programmers succeed when balancing academics with project work or internships. These competencies enable efficient learning, effective contribution to team projects, and skill development essential for future employment in software development.

What kind of projects or assignments can I expect as a student programmer?

As a Student Programmer, you can expect to work on a range of assignments, from developing small software applications or scripts to assisting with larger team-based projects under the guidance of a mentor or supervisor. Tasks often include debugging code, writing documentation, updating existing software, or participating in code reviews. You may also have opportunities to contribute to research projects, automate routine tasks, or prototype new features. These experiences are designed to build your technical skills, expose you to best practices in software development, and prepare you for more advanced programming roles after graduation.

What are popular job titles related to Student Programmer jobs in Austin, TX?

For Student Programmer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Student Programmer jobs in Austin, TX look for?

The top searched job categories for Student Programmer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Student Programmer jobs?

Cities near Austin, TX with the most Student Programmer job openings:

Infographic showing various Student Programmer job openings in Austin, TX as of August 2026, with employment types broken down into 3% Internship, 53% Full Time, 41% Part Time, and 3% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $81,512 per year, or $39.2 per hour.

Graduate Student Intern - Software Engineering

Cadence

Austin, TX • On-site

Full-time

Posted 4 days ago


Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Responsibilities

  • Explore and apply AI/ML techniques, including Large Language Models (LLMs), generative AI (GenAI), and Graph Neural Networks (GNNs), to geometry, mesh, and graph-structured engineering data.
  • Research and develop AI-driven approaches for geometry modeling, mesh generation, and topology optimization workflows.
  • Prototype and evaluate AI-assisted methods for automating geometry creation and simulation model preparation.
  • Work with researchers and engineers to integrate AI technologies into engineering and physics-based applications, including thermal and structural simulation.
  • Analyze experimental results and improve the quality, robustness, and performance of AI-generated geometry and mesh models.
  • Investigate methods to reduce manual modeling effort and accelerate design and simulation workflows through AI automation.
  • Contribute to technical discussions, documentation, research reports, and prototype software development.

Basic Qualifications

  • Currently pursuing a Master's degree or PhD in Computer Science, Engineering, Applied Mathematics, or a related field.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Programming experience in C/C++ and Python.
  • Familiarity with software development practices, including debugging, testing, and version control.
  • Strong analytical, problem-solving, collaboration, and communication skills.
  • Curiosity and enthusiasm for applying AI technologies to engineering problems.

Preferred Qualifications

  • Experience with AI/ML, including deep learning, LLMs, GenAI, or GNNs.
  • Familiarity with geometric modeling, mesh generation, retopology, computational geometry, or graph-based representations.
  • Coursework or research experience in computer graphics, computer-aided engineering (CAE), scientific computing, or simulation.
  • Exposure to CAD, CAE, EDA, or simulation-driven design applications.
  • Interest in topology optimization, geometry processing, performance optimization, parallel computing, or GPU acceleration.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar tools.

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