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Entry Level Computer Science Opt Jobs in Austin, TX

Bachelor's degree in computer science, a related field, or equivalent work experience * Fluent in modern high-performance backend languages (Python, Golang, C++, RUST) * HW/SW debugging skills with ...

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Entry Level Computer Science Opt information

See Austin, TX salary details

$29.2K

$99.4K

$239.4K

How much do entry level computer science opt jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level computer science opt in Austin, TX is $99,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $105,100.00 per year, depending on experience, location, and employer.

What is an entry level computer science OPT?

Entry level computer science OPT jobs are positions suitable for recent graduates with a computer science degree who are working in the United States under the Optional Practical Training (OPT) program. These roles typically include software developer, QA tester, data analyst, and IT support positions, and are designed to provide practical experience in the field. OPT allows international students to work in their area of study for up to 12 months after graduation, or up to 36 months if they qualify for the STEM extension. Entry level positions usually require basic coding skills, problem-solving abilities, and familiarity with common programming languages. These jobs often serve as a stepping stone to more advanced roles in the tech industry.

What are the key skills and qualifications needed to thrive as an entry level computer science OPT professional?

To thrive as an Entry Level Computer Science professional, you generally need a solid understanding of programming fundamentals, problem-solving skills, and a bachelor's degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, and experience using version control systems such as Git are typically expected. Strong communication, teamwork, and adaptability help you collaborate effectively and learn quickly in dynamic environments. These skills and qualities are crucial for developing reliable software, integrating into technical teams, and advancing in the fast-evolving tech industry.

What are some typical projects or tasks an entry level computer science OPT professional can expect to work on during their first year?

As an Entry Level Computer Science professional, you can expect to be involved in a variety of tasks such as debugging code, writing simple programs or modules, assisting with software testing, and updating documentation. You'll likely work under the guidance of more experienced developers and collaborate with team members to support larger projects. This role provides a strong foundation in real-world software development practices and offers valuable exposure to agile workflows, code reviews, and version control systems. Over time, you'll have opportunities to take on more complex assignments and contribute ideas as you gain experience.

What is the difference between Entry Level Computer Science Opt and Entry Level Software Developer?

AspectEntry Level Computer Science OptEntry Level Software Developer
Required CredentialsComputer Science degree, OPT authorizationComputer Science or related degree, internship experience
Work EnvironmentTech companies, startups, research labsSoftware firms, tech departments, startups
Employer & Industry UsageEmployers hiring international students on OPTEmployers hiring entry-level programmers/developers
Common Search & ComparisonYesYes

Entry Level Computer Science Opt roles typically involve temporary employment for international students on OPT, focusing on gaining work experience in tech environments. Entry Level Software Developer positions are more permanent roles for recent graduates or those starting their careers in software development. While both roles require a computer science background, the OPT role is often tied to visa status, whereas the Software Developer role is a standard employment position.

What are the most commonly searched types of Computer Science Opt jobs in Austin, TX?

The most popular types of Computer Science Opt jobs in Austin, TX are:

What are popular job titles related to Entry Level Computer Science Opt jobs in Austin, TX?

For Entry Level Computer Science Opt jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Science Opt jobs in Austin, TX look for?

The top searched job categories for Entry Level Computer Science Opt jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Computer Science Opt jobs?

Cities near Austin, TX with the most Entry Level Computer Science Opt job openings:

Infographic showing various Entry Level Computer Science Opt job openings in Austin, TX as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution, with an average salary of $99,384 per year, or $47.8 per hour.

Consultative Offerings - Government & Public Services - Summer Scholar - AI and Data Engineering

Deloitte

Austin, TX • On-site

Temporary

Posted 22 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Consultative Offerings, Government & Public Services - Summer Scholar - AI and Data Engineering 

Join Deloitte's Government & Public Services practice as a Summer Scholar and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments. 

Recruiting for this role ends on 9/23/2026. 

Work you'll do 

As a Summer Scholar in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization. 

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Summer Scholars to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Summer Scholars whose skills and interests align with the below description: 

AI and Data Engineering Summer Scholar 

  • This Summer Scholar architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-driven intelligence and scalable solutions to meet evolving business and agency needs. 

A successful candidate would possess these skills: 

  • Ability to work independently and collaborate as part of a team 
  • Effective written and verbal communication skills 
  • Meticulous attention to detail and quality of work product 
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams 
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment 
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines 
  • Ability to provide clear guidance to others 

The team 

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment. 

Qualifications 

Required: 

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2028 pursuing a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/equivalent program 
  • Strong academic track record (3.0 cumulative GPA required) 
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. 
  • Ability to obtain and maintain a U.S. Security Clearance 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. 
  • Candidates must be at least 18 years of age at the time of employment. 

Preferred: 

  • 3.4 cumulative GPA preferred 
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics. 

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current wage is $43/hour. 




Qualifications:

Consultative Offerings, Government & Public Services - Summer Scholar - AI and Data Engineering 

Join Deloitte's Government & Public Services practice as a Summer Scholar and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments. 

Recruiting for this role ends on 9/23/2026. 

Work you'll do 

As a Summer Scholar in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization. 

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Summer Scholars to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Summer Scholars whose skills and interests align with the below description: 

AI and Data Engineering Summer Scholar 

  • This Summer Scholar architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-driven intelligence and scalable solutions to meet evolving business and agency needs. 

A successful candidate would possess these skills: 

  • Ability to work independently and collaborate as part of a team 
  • Effective written and verbal communication skills 
  • Meticulous attention to detail and quality of work product 
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams 
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment 
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines 
  • Ability to provide clear guidance to others 

The team 

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment. 

Qualifications 

Required: 

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2028 pursuing a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/equivalent program 
  • Strong academic track record (3.0 cumulative GPA required) 
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. 
  • Ability to obtain and maintain a U.S. Security Clearance 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. 
  • Candidates must be at least 18 years of age at the time of employment. 

Preferred: 

  • 3.4 cumulative GPA preferred 
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics. 

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current wage is $43/hour. 




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