Junior Software Engineer
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-02-28
Listing for:
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Full Time
position Listed on 2026-02-28
Job specializations:
-
Software Development
Software Engineer, Python, C++ Developer, Embedded Software Engineer
Job Description & How to Apply Below
The Opportunity
We are seeking outstanding recent graduates to join our software engineering team in Austin. This role is ideal for candidates from strong universities with an excellent academic track record and exceptional coding ability in C++ and Python.
You’ll work on high-performance, real-time systems at the intersection of robotics, autonomy, and advanced computing — solving technically demanding problems in a small, elite team.
What You’ll Do- Design, develop, and optimize high-performance software in C++ and Python
- Build robust, scalable systems for real-time and embedded applications
- Implement efficient algorithms and data structures for computationally intensive problems
- Collaborate closely with mechanical, electrical, and computer vision engineers
- Debug and optimize performance-critical systems (multi-threading, concurrency, memory)
- Contribute to code reviews, testing, and engineering best practices
- Support system integration, testing, and deployment of mission-critical software
Required:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field from a strong university
- U.S. Citizenship (required due to the nature of the work)
- Excellent coding ability in C++ and Python
- Strong foundation in data structures, algorithms, and systems fundamentals
- Familiarity with concurrency, memory management, and performance optimization
- Experience with Git and modern development workflows
- Strong analytical thinking and problem-solving ability
Nice to Have:
- Experience with GPU programming (CUDA, OpenCL)
- Exposure to robotics, computer vision, or real-time systems
- Knowledge of networking or distributed systems
- Experience with Docker, CI/CD, or Dev Ops tooling
- Familiarity with machine learning frameworks (PyTorch, Tensor Flow)
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