Linux Acquisition Software Development

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:

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 machine vision standards such as GenICam, GenTL, GigE Vision, CoaXPress, and Camera Link HS.

Software Quality and Validation

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.

DevOps and Automation

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.

AI and Modern Development Practices

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.

Collaboration

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 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

What we offer

Competitive compensation and comprehensive health benefits

Progressive vacation plan and paid holidays

Retirement savings plans with company match

Educational assistance and career development support

Opportunities to work on globally impactful technologies

What happens next

Apply online and our Talent Acquisition team will review your application. Selected candidates will be contacted for next steps, including interviews and assessments as needed.

This position is being posted in response to an existing vacancy within our organization

Teledyne Digital Imaging does not use AI tools to assist in the Screening, Assessing and Selecting of candidates for this role

Salary Range:

$76,800.00-$102,400.000

The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, local regulations (such as minimum wage), education/training, work experience, key skills, and type of position.

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.