Senior Software Engineer C++ / Computer Vision

As a Senior Software Engineer at ABBYY, you'll be involved in technical leadership and innovation, which includes designing and implementing major architectural improvements to our C++ Computer Vision library, driving technical decisions, and establishing best practices for C++ development. You'll also mentor junior engineers, contribute to roadmap planning, and ensure that our algorithms are high-performance and memory-efficient.

To qualify for the Senior Software Engineer position at ABBYY, candidates should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 5+ years of software engineering experience. Proficiency in modern C++, cross-platform library design, and a strong grasp of Computer Vision and Machine Learning algorithms are essential.

In the Senior Software Engineer role at ABBYY, technical mentorship involves guiding both senior and junior engineers through complex challenges, sharing your expertise on modernization implementations, and facilitating knowledge transfer. This collaborative approach helps elevate the team's capabilities and promotes the adoption of best practices in modern C++ engineering.

ABBYY promotes a healthy work-life balance for Senior Software Engineers by offering flexible remote and hybrid working options, encouraging flexible hours, and providing two paid volunteering days each year. This supportive environment allows you to define your own work-life balance while contributing positively to your community.

As a Senior Software Engineer at ABBYY, you can expect abundant opportunities for professional development and growth. You'll work with cutting-edge technologies, including AI and Machine Learning, and get the chance to lead architectural innovations in our Computer Vision library. Moreover, the role involves mentoring others, which can enhance your leadership skills and technical acumen.

When answering this question, highlight specific projects where you utilized C++ to create Computer Vision solutions. Discuss any relevant algorithms you implemented and how your contributions improved performance or efficiency, showcasing your technical depth and problem-solving skills.

In responding to this question, outline the algorithm's purpose, how you implemented it, and the results achieved. Use clear examples to illustrate your understanding of the algorithm's mechanics, its implementation challenges, and how it interacted with the overall system architecture.

Discuss your methodology, emphasizing how you assess requirements, consider scalability and maintainability, and involve team input. Provide examples of past decisions and their positive impacts, illustrating your collaborative and analytical approach to architecture.

Explain your strategies for mentoring, including conducting regular check-ins, providing constructive feedback, and encouraging knowledge sharing through code reviews or collaborative projects. Highlight any success stories where your mentoring led to tangible improvements in team performance.

Provide a clear narrative explaining the problem, the steps taken to diagnose the issue, and the optimization techniques you applied. Highlight the importance of profiling and testing throughout the process and the final outcome to illustrate your analytical skills.

Share specific examples where you developed or adapted software to work across different platforms, such as Windows, Linux, or Mac. Focus on the challenges faced and how you overcame them, reflecting your adaptability and technical breadth.

Discuss your practices for maintaining code quality, such as following coding standards, writing unit tests, conducting code reviews, and using static analysis tools. Provide examples where these practices led to significant improvements in software maintainability.

Explain your approach to continuous learning, including attending conferences, participating in online courses, reading technical papers, or engaging with communities. This demonstrates your commitment to staying current and your proactive approach to personal development.

Highlight the importance of documentation for ensuring clear communication among team members, onboarding new engineers, and maintaining software over time. Share examples of how thorough documentation improved a project's efficiency or helped the team solve problems more quickly.

Frame your answer by outlining the problem, the analysis process undertaken, the solution proposed, and its implementation. Discuss the outcome and any lessons learned, showcasing your critical thinking and problem-solving abilities.