Participate in code reviews, testing, documentation, and continuous delivery practices
Collaborate with product, research, engineering, and domain specialists across distributed teams
Contribute to technical discussions and architectural decisions, seeking guidance where appropriate
Surface technical risks, uncertainties, and blockers early
Participate in selected customer workshops, pilot reviews, and technical feedback sessions
Explain expected inputs, outputs, limitations, and validation needs clearly to technical and non-technical audiences
Use customer feedback to improve product behavior, usability, and technical implementation
Minimum Qualifications
Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Physics, Engineering, or a closely related field
Strong Python programming skills and the ability to contribute to production software
Experience developing and evaluating modern machine-learning models
Experience working with engineering, geometric, scientific, physical, or similarly complex data
Understanding of software design, testing, debugging, version control, and collaborative development
Ability to translate experimental work into maintainable and testable software
Strong analytical and problem-solving skills
Ability to work effectively in a cross-functional team and learn from more experienced engineers
Clear written and verbal communication skills
Willingness to participate in customer discussions and product-validation activities
Preferred Qualifications
Experience applying machine learning to design, simulation, manufacturing, construction, or engineering workflows
Knowledge of geometric machine learning, scientific machine learning, Physics AI, or related methods
Familiarity with computational geometry, numerical simulation, or engineering analysis
Experience integrating machine-learning capabilities into an existing product or service
Experience with cloud-based or distributed machine-learning workflows
Familiarity with reproducible experimentation, monitoring, and model lifecycle practices
Experience collaborating with customers, domain experts, solution engineers, or research teams
The Ideal Candidate
You are a curious and pragmatic machine-learning engineer who wants to build capabilities that solve meaningful customer problems. You care about both model quality and software quality, and you are motivated to develop experimental ideas into dependable product features.
You are comfortable asking questions, receiving feedback, and working through ambiguity with support from senior engineers. You communicate clearly, collaborate well across disciplines, and are open to learning directly from customers and engineering practitioners.
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency Salary is one part of Autodesk’s competitive compensation package. For Germany based roles, we expect a starting base salary between 59,000 EUR and 85,800 EUR Annual. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.


- Belonging
- We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
