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Graduate Software Engineering Jobs in Texas (NOW HIRING)

... Graduate Degree in Computer Science, Information Systems, Electrical Engineering, or any other ... Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel ...

... civil engineering and company design standards while furthering their technical knowledge in ... Become knowledgeable with HEC-RAS, HEC-HMS software as needed for projects. * Conduct quality take ...

Bachelor's degree or higher in computer science, engineering or related discipline, or equivalent ... Recent Graduate with some project work or internship or good grades who have knowledge on ...

The Graduate Engineer is an entrylevel, developmental role designed to build foundational ... Familiarity with engineering or analysis software (process simulation, pipeline tools, or similar)

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Graduate Software Engineering information

See Texas salary details

$59.2K

$137.4K

$191.5K

How much do graduate software engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for graduate software engineering in Texas is $137,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Graduate Software Engineer, you need a solid understanding of programming fundamentals, software development methodologies, and a relevant degree in Computer Science or a related field. Familiarity with coding languages such as Java, Python, or C++, and experience with version control systems like Git, are typically expected. Strong problem-solving abilities, attention to detail, teamwork, and good communication skills help graduates stand out in collaborative technical environments. These skills and qualities are vital for producing high-quality software, adapting to evolving technologies, and contributing effectively to development teams.

What are some common challenges Graduate Software Engineers face during their first year, and how can they overcome them?

Graduate Software Engineers often encounter challenges such as adapting to new codebases, balancing learning with productivity, and effectively communicating within cross-functional teams. It's important to proactively seek mentorship, ask questions, and take advantage of onboarding resources. Participating in code reviews and attending regular team meetings can help build confidence and understanding, while setting small, achievable goals fosters both skill development and a sense of accomplishment.

What is a Graduate Software Engineer?

A Graduate Software Engineer is an entry-level position for individuals who have recently completed a degree in computer science, software engineering, or a related field. They work as part of a development team to design, develop, test, and maintain software applications. Graduate Software Engineers typically receive training and mentorship while working on real-world projects, helping them gain practical experience and build their technical skills. Their responsibilities may include writing code, fixing bugs, collaborating with other team members, and learning industry best practices.
What cities in Texas are hiring for Graduate Software Engineering jobs? Cities in Texas with the most Graduate Software Engineering job openings:
Infographic showing various Graduate Software Engineering job openings in Texas as of May 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, and 12% Remote job distribution, with an average salary of $137,441 per year, or $66.1 per hour.
Sr. Software Engineer - Simulation / Support

Sr. Software Engineer - Simulation / Support

Diligent Robotics

Austin, TX

Other

Posted 10 days ago


Job description

What we're doing isn't easy, but nothing worth doing ever is. 

We envision a future powered by robots that work seamlessly with human teams. At Diligent Robotics, we build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic, human-filled environments.

Diligent is one of the only companies in the world operating a production fleet of mobile manipulation robots in real environments. Every day, our robots work alongside hospital staff, generating the real-world data needed to advance the next generation of Physical AI. If you're excited about solving the hardest problems in robotics, where simulation meets real-world deployment, this is the job for you.

As a Senior Software Engineer - Simulation / Support, you will accelerate the effectiveness of our engineering organization. This hybrid role spans developer tooling, software support and triage, and simulation infrastructure. You will help engineers build better software, faster, while strengthening the reliability and debuggability of our robotics stack in production.

You will develop state-of-the-art infrastructure to test and validate Physical AI models, and help bridge the gap between simulation and reality by improving synthetic data and scenario generation with real-world data from our growing fleet of operational robots.

Responsibilities
  • Design and build tools that improve productivity and debugging across the robotics software stack
  • Develop and maintain simulation infrastructure used for testing autonomy, navigation, perception, manipulation and system level behaviors
  • Partner with autonomy, perception, platform, and infrastructure teams to integrate simulation into CI pipelines and validation workflows
  • Create reproducible test harnesses and simulation scenarios that mirror real world operational edge cases found in our customer environments
  • Support release readiness by strengthening automated validation, regression testing, and scenario based simulation coverage
  • Contribute to architecture decisions that improve modularity, testability, and long term maintainability of the codebase
  • Evaluate and integrate third party simulation frameworks or build custom simulation tooling as needed
  • Mentor engineers on best practices in testing, debugging, observability, and system design
Basic Qualifications
  • Undergraduate or graduate degree in Robotics, Computer Science, Electrical Engineering, or related field.
  • 5+ years of professional software engineering experience, ideally in robotics, autonomous vehicles, or other complex cyber physical systems
  • Strong proficiency in C++ and/or Python
  • Experience with robotic middleware such as ROS or similar distributed systems frameworks
  • Experience developing or extending simulation environments, such as Gazebo, Isaac Sim, Mujoco, or custom in house engines
  • Experience debugging distributed systems and working with real world hardware
  • Strong understanding of software architecture, systems design, and scalable tooling
  • Familiarity with CI/CD systems and automated testing frameworks
  • Comfort working across the stack, from low level systems to higher level autonomy behaviors
  • Excellent cross functional communication skills and a bias toward pragmatic solution