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Linux Acquisition Software Development
Job Description & How to Apply Below
- 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
- 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
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
- 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
- Analytical Problem-Solving
- Collaborative Teamwork
- Written Communication
- Verbal Communication
- Image Acquisition Systems
- Industrial Automation
- Cybersecurity Principles
- Secure Software Development Lifecycle
- GPU Architecture
- Git
- Docker
- CI/CD Pipelines
- Sanitizers
- GenICam
- GenTL
- GigE Vision
- Camera Link HS
- CoaXPress
- Virtualization
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