Description
Teledyne Vision Solutions is seeking a highly motivated Linux Software Developer to join the Acquisition Software Group
. The successful candidate will contribute to the design, development, validation, and maintenance of high-performance image acquisition software for machine vision systems, including frame grabbers, camera interfaces, device drivers, and software development kits.
This role involves developing software spanning user-space libraries, GenTL producers, and Linux kernel drivers, with a strong focus on software quality, performance, automation, and cybersecurity. The candidate will work closely with hardware, FPGA, QA, and product teams to deliver reliable acquisition solutions used in demanding industrial, medical, scientific, and automation applications.
The ideal candidate is passionate about Linux development, enjoys solving complex low-level software challenges, and embraces modern software engineering practices including automated testing, continuous integration, static analysis, and AI-assisted development.
What You Will Do:
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 machine vision standards such as GenICam, GenTL, GigE Vision, CoaXPress, and Camera Link HS.
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 (ASAN, TSAN, UBSAN), 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 AI-assisted development tools to improve software quality and productivity.
Evaluate and integrate AI technologies that support software development, testing, validation, and maintenance activities.
Apply AI techniques for log analysis, test generation, anomaly detection, and software engineering workflows where appropriate.
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 within the organization.
To be successful in this role, we would love if you have:
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 software development best practices including:
Source control (Git)
Code reviews
Automated testing
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…
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