R&D Engineer

Requirements

• Master's degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields.
• Minimum 3 years of professional R&D experience in Computational Geometry, Design Optimization, Algorithm Design, and Machine Learning.
• Demonstrated problem-solving skills; ability to distill complex or abstract requirements into actionable ideas.
• Strong mathematics and algorithm design skills.
• Good spoken and written English skills.
• Effective technical writing skills.
• PhD in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields.
• Solid C++ and object-oriented programming skills; proficiency in design patterns and best practices; industry experience in commercial software development.
• Deep understanding of 3D modeling techniques, triangular mesh processing, optimization algorithms, and numerical methods.
• Knowledge and experience in various AI fields.
• Strong communication skills; ability to explain complex ideas in ways that can resonate with and influence other people.
• Proven ability to challenge the status quo and think outside the box; ability to learn from previous mistakes and iterate to generate new solutions quickly.
• Experiences in data analysis and visualization is a plus.
• Prior work experiences in healthcare (FDA) regulated industry is a plus.
• Critical Success Factors :
• Solid technical understanding and real-world experiences in related fields.
• A growth mindset and a relentless pursuit of continuous improvement; willingness to constantly challenge oneself and be challenged; openness to different ideas and unfamiliar domains.
• Results Oriented; a good understanding and appreciation of the balance between scientific rigor and engineering solutions.
• Culture Fit : At Envista, we reach our goals with a foundation built on our core values
• Better Choices, Better Outcomes : By equipping our employees with the best training, teams, and opportunities,

Benefits

Additional Information

Job Description: We know that dental professionals do more than create healthy, beautiful smiles-they create confidence. To achieve their goals, they need a champion. They need someone who will be there for them, side by side and end to end. At Envista, we're uniquely positioned to be this champion. Our differentiated combination of continuous improvement, a bias toward action, a deep respect for the professionals we serve, and innovative products and services embolden us to champion dental professionals like no one else can. Our comprehensive product portfolio covers an estimated 90% of dentists' clinical needs for diagnosing, treating, and preventing dental conditions as well as improving the aesthetics of the human smile. Envista companies partner with dental professionals to help them deliver the best possible patient care. We believe true champions lift each other upand we are looking for new champions to join our team. If you believe champions do more than win-they stand for something bigger-you can build a meaningful career at Envista. If you believe champions work to be their best, help others be theirs, show up every day to make a difference, and celebrate the differences in others, let's talk. Are you that champion? Learn more at envistaco.com . Together, we can do amazing things. Role Overview/Summary: We are looking for a research engineer/scientist in the field of Computational Geometry, Design Optimization, Algorithm Design, and Machine Learning. You will join a team of software developers, mechanical engineers, clinical experts, and fellow researchers, to create next-generation solutions for Spark and Digital Orthodontics in general. Primary Duties and Responsibilities: Investigate various aspects of the digital orthodontics workflow to identify areas for automation and optimization. Develop advanced algorithms and methodologies for automatic processing, augmentation, integration, and prediction of photographic, volumetric, geometric and/or meta data. Participate in an iterative concept prototyping pipeline to validate or disprove new ideas. Design experiments, metrics, and acceptance criteria, for the validation of proposed solutions both in terms of technical capability and clinical significance. Implement proposed solutions as high-fidelity proptotypes that can be readily handed-over to product development teams for commercialization. Create technical reports to document the investigation, its findings, and proposed solutions. Work with cross-functional teams regularly to communicate progress and potential risks. Conduct technology and patent scans to be in-tuned with the state of the art. Participate in patent filing activities. #LI-EU1 Job Requirements:

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