The Role:
As a C++ Engineer in our Machine Learning team, you will work at the forefront of innovation, helping bring cutting-edge machine learning and computer vision technology into production.
You will work on the core technology that powers Apryse’s document processing SDKs, used by global Fortune 500 companies and millions of users worldwide. In this role, you will build high-performance C++ systems that transform machine learning prototypes into efficient, cross-platform implementations used across mobile, web, and backend environments.
Working closely with machine learning engineers and researchers, you will help deliver advanced capabilities such as document detection, barcode recognition, image processing, OCR, and real-time data extraction.
If solving novel, performance-critical problems motivates you, and you enjoy working at the intersection of C++, computer vision, and machine learning, you’ll feel right at home here.
Responsibilities:
C++ Development & ML Integration
- Develop computer vision and machine learning-based features with real-time performance requirements.
- Integrate machine learning models created by ML engineers intoApryseSDK products.
- Work with research teams to convert Python-based prototypes into production-ready and cross-platform C++ implementations.
- Develop and improve the core of our SDKs with features such as:
- Barcode and document detection
- Image processing
- Text recognition
- Data intelligence
- Real-time data extraction
- Augmented reality overlays
Software Engineering & Implementation
- Design, implement, andmaintainproduction-grade C++ code withinApryseSDK products.
- Collaborate closely with Android, iOS, Web, and server teams to deliver cross-platform solutions.
- Design and implement automated tests to ensure reliability and performance.
- Investigate and resolve bugs reported by QA teams and customers.
- Continuously improve system performance, architecture, and scalability.
Cross-Functional Collaboration
- Partner with product management and engineering teams to continuously improve product capabilities.
- Collaborate with ML researchers to bring new machine learning innovations into production.
- Share technical knowledge and best practices across engineering teams.
- Contribute to improvingdevelopmentworkflows, tooling, and engineering processes.
Qualifications:
- Bachelor’s orMaster’s degree in Computer Science, Engineering, or a related technical field or comparable practical experience.
- 3+ years of professional experience developing software usingC++, ordemonstrated exceptional performance in computer science competitions such as informaticsolympiadsor competitive programming.
- Strong problem-solving skills and the ability to learn quickly in a fast-moving technical environment.
- Experience working with Python and NumPy.
- Solid understanding of linear algebra and computer vision concepts.
- Experience using common software development tools such as Git (GitHub), JIRA, or similar issue tracking systems.
- Strong written and verbal communication skills in English.
Nice to Have:
- Experience working with OpenCV.
- Familiarity with modern C++ standards (C++17 or newer).
- Experience with high-performance computing techniques such as:
- Vectorized computing
- Multithreaded computing
- Experience with libraries and technologies such asCMake, Jenkins, docker,Blender, web development, serverlessorWebAssembly.
- Experience working with cloud platforms such as AWS or GCP.
- Knowledge of systems-level concepts such as CPU architecture, OS design, or low-level optimization.
- Participatedin competitive programming, algorithm competitions, or informaticsolympiads.
Benefits:
- Competitive salarycommensuratewith experience & qualifications.
- A comprehensive extended benefits package.
- A great teamenvironment and resources, supporting you to do the best work of your life and providing unlimited career growth potential.
- Highly autonomous and entrepreneurial environment.
- On going support for learning development so you can continue to master your craft.
- Work with the hardwareyou'remost comfortable with (Windows or Mac)
- Diverse and inclusive workplace where we all learn from each other.
- Excellent work-life balance with a flexible remote work environment.
Company Description:
As the industry-leading provider of document software development (SDK) technology powering everything from traditional desktop software to innovative web and mobile applications, at Apryse we are committed to delivering cutting-edge technology solutions that empower our clients to achieve their goals. With a broad international portfolio of combined companies, products, and leading technologies, we are actively changing the way the world works with documents to make work better and life simpler.
Customers like IBM, Autodesk, DocuSign, Boeing, Microsoft (and many more!) come to us to realize their web and mobile strategies for document management, editing, and collaboration as the #1-ranked commercial document SDK of choice for companies worldwide. As a result, you can find our document technology in thousands of solutions, including those of household names, used by millions across virtually every industry. Our XODO app alone has 25M unique installs -- and counting -- and the highest ratings among PDF productivity apps on the largest online app marketplaces.
Ready to join our team?
If you are interested in helping Apryse deliver on its commitments and taking your career to the next level, we invite you to apply online now. Additionally, we view the above section as a guide, not a checklist. We welcome diverse and non-traditional backgrounds and encourage you to apply even if you do not have every requirement listed.
We are committed to a work environment that is inclusive to all and free of discrimination. It is our policy to be an equal opportunity employer without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, genetic predisposition or carrier status, veteran status, citizenship status or any other factors prohibited by law. Apryse will provide reasonable accommodations for qualified individuals.
Top Skills
Apryse Denver, Colorado, USA Office
Apryse Denver, Colorado HQ Office
2399 Blake Street, Denver, CO, United States, 80205
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