Linux Acquisition Software Development

• Design, implement, and maintain acquisition software components for Linux platforms
• Develop and maintain Linux kernel drivers for frame grabbers and GigE Vision acquisition devices
• Develop user-space libraries, APIs, SDK components, and GenTL producers
• Optimize software performance, memory usage, and throughput for high-bandwidth image acquisition systems
• Investigate and resolve complex issues involving hardware, drivers, operating systems, and customer applications
• Support integration with GenICam, GenTL, GigE Vision, CoaXPress, and Camera Link HS standards
• Create, maintain, and execute automated software tests
• Develop unit tests, integration tests, and system-level validation suites
• Improve software test coverage and quality metrics
• Perform root-cause analysis and debugging of software defects
• Utilize static code analysis, sanitizers, and other quality assurance tools
• Participate in design reviews, code reviews, and cybersecurity assessments
• Contribute to CI/CD pipelines and automated build systems
• Develop scripting and automation tools using Python and shell scripting
• Support software packaging, deployment, and installation on Linux distributions
• Leverage and evaluate AI-assisted development tools and technologies
• Apply AI techniques for log analysis, test generation, anomaly detection, and software engineering workflows
• Work closely with hardware, FPGA, product management, QA, and customer support teams
• Participate in technical discussions, project planning, and architecture reviews
• Contribute to technical documentation and knowledge sharing

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or equivalent experience
• Strong software development experience in C and C++
• Programming experience in Python
• Experience developing software on Linux platforms
• Experience with multithreaded and concurrent software development
• Experience debugging complex software issues in Linux environments
• Understanding of Linux system internals and operating system concepts
• Knowledge of source control (Git), code reviews, automated testing, and continuous integration
• Experience developing and maintaining unit tests
• Strong analytical and problem-solving skills
• Ability to work effectively in a collaborative multidisciplinary team environment
• Strong written and verbal communication skills in English
• Experience developing Linux kernel drivers
• Experience with PCIe, DMA, interrupt handling, and high-performance I/O systems
• Experience with Ethernet protocols
• Experience with machine vision, image acquisition, or industrial automation systems
• Familiarity with GenICam, GenTL, GigE Vision, Camera Link HS, CoaXPress, or similar imaging standards
• Experience with static analysis and security-focused development practices
• Experience using sanitizers such as ASAN, TSAN, and UBSAN
• Experience with automated test frameworks and test-driven development (TDD)
• Familiarity with cybersecurity principles and secure software development lifecycle
• Experience with Docker, virtualization, or cloud-based development environments
• Experience using AI-assisted coding, testing, and software development tools
• Knowledge of GPU architecture and programming

Core Competencies

Demonstrates expertise in developing and maintaining software components for Linux platforms, including Linux kernel drivers and user-space libraries. Proficient in utilizing AI techniques and tools for software development and testing, while ensuring high performance and quality through automated testing and debugging.

Highest-signal resume keywords

• C Programming
• C++ Programming
• Linux Kernel Driver Development
• Python Programming
• Automated Testing Frameworks

Hard Skills

• Linux Software Development
• Multithreaded Programming
• Debugging Complex Software Issues
• Static Code Analysis
• Unit Testing
• Continuous Integration
• High-Performance I/O Systems
• Machine Vision
• Image Acquisition
• AI-Assisted Development Tools

Soft Skills

• Analytical Problem-Solving
• Collaborative Teamwork
• Written C