Ai specialista állások, munkák speciális mérnöki területek kategóriában

• A folyamatok és teljesítmények elemzése, potenciális fejlesztési területek azonosítása
• Gyártási rendszerek hatékonyságának vizsgálata és fejlesztése, a veszteségek csökkentése

• FPGA tervek és tesztek fejlesztése VHDL, Verilog és HLS (High-Level Synthesis) használatával, FPGA tervek ellenőrzése.
• Xilinx eszköztár használata (Kintex Ultrascale, Zynq Ultrascale+ SoC, Versal).

• Design and implement end‑to‑end AI pipelines for time‑series and event‑driven sensor data (e.g., pressure, temperature, current, voltage, etc.)
• Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability

• Develop and integrate cutting-edge machine learning algorithms for future surgical imaging devices, utilizing multiple optical imaging modalities
• Work in a streamlined manner from a concept phase all the way to production-ready solutions

• Conduct field testing of robotic systems within a greenhouse environment.
• Evaluate the performance and reliability of robots under real-world conditions
• Acquire data required to support our development efforts
• Identify and troubleshoot technical issues, ensuring minimal downtime

• to develop automated workflows for descriptor-based microstructure reconstruction
• to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis

• Structural stress analysis are performed and evaluated using both FEM methods and classical hand calculations
• The Structural Repair Manual (SRM) is used on a regular basis, with relevant references being confidently incorporated into analyses and repair assessments

• Building an internal startup and drive prototype and product development Interact with key internal and external stakeholders and future customers to understand product requirements
• Shape startup like development and business building environment

• Develop and implement generative AI models for design optimization
• Integrate AI algorithms with Finite Element Method (FEM) and other simulation tools
• Analyze simulation results and propose design improvements
• Collaborate with engineers to automate optimization workflows

• Analyze oilfield data, with a focus on production rates, field trends, and sensor data
• Define and support strategies for oilfield operations and optimization
• Collaborate closely with customers to understand workflows, provide analytical support and deliver actionable insights

Drive technical project management, specifications and development activities aligned with customer requirements and program objectives....