Software Engineer

CoVar•Durham, NC

7d•Onsite

About The Position

We are looking for a motivated, detail-oriented Software Engineer who thrives in an environment where reading, understanding, and improving complex codebases is just as important as writing new code. In this role, you will develop and maintain real-time, computationally intensive applications involving data processing, real-time communications, and machine-learning algorithm integration. You’ll work closely with a team of ML engineers and software developers, contribute to system architecture and performance optimization, and help ensure our tools are robust, efficient, and production ready. You will have the opportunity to work on meaningful, high-impact projects in a close-knit engineering team. If you enjoy building systems end-to-end, optimizing performance, and understanding how software interacts with hardware at a deep level, you’ll fit right in. Important Note: This is a software engineering role and not a prompt engineering role. Candidates with strong LLM prompting skills but limited understanding of software engineering fundamentals will not be successful here.

Requirements

B.S. in Computer Science or related field
Expertise in Python with a minimum of two years of demonstrated hands-on professional development experience
Exposure to scientific/computational libraries such as NumPy, SciPy, pandas, scikit-learn, PyTorch, etc.
Experience developing real-time, computationally-focused applications
Working knowledge of SQL and experience with one or more of MySQL, PostgreSQL, or SQLite
Strong fundamental understanding of computing hardware architectures and how they influence software architectural decisions
Experience with software development processes, including version control, documentation, testing, and code review
Excellent technical communication skills and a customer-service mindset
Ability to work in Durham, NC
Eligibility for US security clearance (US citizenship is required)

Nice To Haves

Linux application development
Experience with embedded systems or deploying AI/ML solutions on edge hardware (highly desirable)
Familiarity with real-time systems, edge hardware optimization, and performance profiling
Experience with signal processing, pattern recognition, image processing, and/or machine learning techniques
Prior Department of Defense project experience

Responsibilities

Develop and maintain real-time, computationally intensive applications involving data processing, real-time communications, and machine-learning algorithm integration.
Work closely with a team of ML engineers and software developers.
Contribute to system architecture and performance optimization.
Ensure tools are robust, efficient, and production ready.
Build systems end-to-end.
Optimize performance.
Understand how software interacts with hardware at a deep level.