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We are seeking an Applied Research Engineer to lead technology scouting and technical evaluation activities in the areas of Artificial Intelligence (AI) and physics & engineering simulation, with a strong emphasis on engineering accuracy and physical fidelity. This role focuses on identifying emerging technologies, assessing their maturity and relevance, performing targeted experiments and prototypes, and evaluating their potential impact on Bentley’s products, users, and markets. The position sits at the intersection of research, engineering, and strategy, and requires strong analytical skills, hands-on technical capabilities, and the ability to communicate complex findings clearly to diverse stakeholders.
Job Responsibility:
Conduct continuous technology monitoring and literature review in the domains of: Artificial Intelligence and Machine Learning
Physics-based simulation and computational mechanics
Identify and prioritize technologies of interest for Bentley based on technical potential, maturity, and strategic relevance
Perform technical investigations and proof-of-concept experiments, including: Prototyping
Benchmarking
Feasibility studies
Engage with internal stakeholders (R&D, product teams, domain experts) to: Assess the potential impact of emerging technologies on Bentley products and markets
Identify opportunities for experimentation within Bentley’s technical and user contexts
Critically evaluate strengths, limitations, risks, and readiness of candidate technologies
Produce clear, structured written reports, including: Preliminary technology assessments
In-depth technical evaluations
Recommendations for further exploration or adoption
Contribute to internal discussions and presentations on technology trends and strategic directions
Requirements:
Background in engineering or applied sciences
Good conceptual understanding of AI models and their typical use cases
Experience with simulation of physical processes
Programming skills sufficient to develop lightweight proof‑of‑concepts
Ability to identify, analyze, and synthesize emerging technologies
Ability to communicate technical topics clearly to diverse stakeholders
Curiosity and perseverance in exploring complex technical topics
PhD or MSc Engineering, experience in Computational fluid dynamics
Phd or MSc AI / Computing, some experience in numerical modeling
B.Sc. Engineering with years of experience in CAD company in performance / reliability, numerical methods or simulation
PhD in Computational fluid dynamics
B.Sc., M.Sc. or Ph.D. in high performance computing, GPU, solvers