Staff Software Engineer - C++ - Computer Vision

March 29

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ABBYY

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ABBYY is a leading provider of intelligent automation solutions, leveraging AI-powered document processing technologies to transform and optimize business processes. The company offers solutions such as ABBYY Vantage, a low-code platform for document processing, and ABBYY Timeline, which provides process mining and simulation to gain actionable insights into business processes. ABBYY serves a wide range of industries including financial services, insurance, and public sector by automating tasks such as accounts payable automation and customer onboarding. Known for its high accuracy and efficiency, ABBYY's technologies enable organizations to enhance productivity, improve process intelligence, and achieve cost savings.

Artificial intelligence software • Document AI • Process Mining • Task Mining • digital transformation

501 - 1000 employees

Founded 1989

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Venture Round on 2021-05

📋 Description

• Join ABBYY and be part of a team that celebrates your unique work style. • With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most. • We are seeking a skilled Staff Software Engineer to drive the modernization and evolution of our C++ Computer Vision library. • The ideal candidate will design and implement core library architecture while mentoring team members and collaborating across functions to ensure the long-term success of our vision technology.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field • 7+ years of software engineering experience • Strong background in C++ development and cross-platform library design • Cross-Platform experience in at least a couple of platforms: Windows, Linux, Mac • Experience building and maintaining production-grade software systems • Deep knowledge of modern C++ • Expertise in software architecture and design patterns • Strong understanding of Computer Vision and Machine Learning algorithms and techniques • Experience with performance optimization and profiling • Knowledge of low-level system programming considerations • Background in building maintainable, well-tested software components • Experience technically guiding a team and mentoring engineers on technical challenges • Track record of driving architectural and design decisions • Strong team collaboration and communication skills • Ability to work effectively across technical teams • History of solving complex engineering problems

🏖️ Benefits

• Three weeks' paid time off plus 13 paid holidays, floating holidays, and holiday allowance increase based on tenure • Gym membership subsidy • Medical and dental insurance • Pet insurance • Employee Assistance Program • College Savings Plan • Travel assistance • 401(k) with up to 4% employer match