R&D Engineer

Envista Dentistry; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Envista is seeking a research engineer/scientist in Computational Geometry, Design Optimization, and Machine Learning to join a cross-functional team including engineers and clinical experts. You will help create next-generation solutions for Spark and Digital Orthodontics, from concept to prototype to handover.

The role emphasizes algorithm development, experiments, and collaboration across disciplines to drive clinical impact and product readiness.

Formación

• Master’s degree in Computer Science, Applied Mathematics, or related field.
• Minimum 3 years of professional R&D experience in Computational Geometry, Design Optimization, Algorithm Design, and Machine Learning.
• Strong mathematics and algorithm design skills; excellent problem-solving abilities.
• Good spoken and written English; strong technical writing skills.

Responsabilidades

• Investigate digital orthodontics workflows to identify automation opportunities.
• Develop advanced algorithms for processing and predicting geometric/meta data.
• Prototype high-fidelity solutions for handover to product teams.
• Design experiments and acceptance criteria to validate technical and clinical relevance.
• Create technical reports documenting findings and proposed solutions.

Conocimientos

Computational Geometry

Design Optimization

Algorithm Design

Machine Learning

Mathematics

English Proficiency

Educación

Master’s degree in Computer Science or Applied Math

PhD (preferred)

Herramientas

C++

OO Design

Design Patterns

3D Modeling Concepts

Descripción del empleo

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 up and 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 prototypes 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.

Job Requirements:

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.

PREFERRED QUALIFICATIONS:

• 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.

Relationships Built on Respect: Diversity, inclusivity, and collaboration are at the core of what make our culture and our teams so successful. We know that when our employees show up every day as their authentic selves, there is greater teamwork, more thoughtful debates, and more reasons to celebrate.

Better Choices, Better Outcomes: By equipping our employees with the best training, teams, and opportunities, we ensure they can reach their full potential at Envista. When our employees show up with a drive for excellence and hunger for new experiences, they thrive.

Innovation in Action: With an agile approach and focus on research and development, we are positioned to drive the next wave of disruptive thinking and products. Energized and driven to put ideas into action, our employees show up every day ready to make a difference.

Continuous Improvement as Competitive Advantage: Supported by our renowned business system, we are committed to developing world‑class professionals at every level. Dedicated to being their best every day, Envista employees embrace continuous improvement as a mindset, culture, and way to win.

Operating Company:

Ormco

Ormco is a global leader and innovator of high‑quality orthodontic products and solutions, including brackets and wires. For more than 60 years, our team has partnered with the orthodontic community to help create over 20 million smiles in more than 140 countries. We build trusted relationships. Each one is rooted in respect and understanding. We take that approach when we help orthodontists achieve their clinical and practice management objectives. We take the same approach when we help our team bring their personal best to work each day, ready to make a difference and reach their full potential.

Envista and its family of companies (Envista) will not accept unsolicited resumes from any source other than directly from a candidate. Envista will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee‑based referral services and recruiting agencies (Agency) to have been referred by the Agency free of charge and Envista will not pay a fee for any placement resulting from the receipt such unsolicited resumes. An Agency must obtain advance written approval from Envista's internal Talent Acquisition or Human Resources team to submit resumes, and then only in conjunction with a valid fully‑executed contract approved by the Global Talent Acquisition leader and in response to a specific job opening. Envista will not pay a fee to any Agency that does not have such agreement and written approval in place.