Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
programming models and high-performance computing techniques and machine learning models. Practical experience in the programming of high-performance computing of AI and/or scientific computing applications
-
» OtherEducation LevelPhD or equivalent Skills/Qualifications Who you are PhD in Computer Science, Machine Learning or related field or 5+ years of relevant industrial experience. Strong track record of developing
-
, validation, deployment, monitoring, and (preferably) MLOps practices. You can develop and integrate AI models into operational systems, including: user‑facing applications (computer vision, sensor fusion
-
multisensor fusion and ondevice AI pipelines that guarantee tight latency, power efficiency, and fail-safe robustness. Driving hardware–software codesign to radically optimize state estimation and deep-learning
-
, radome, et al.). Experience with measurement systems (probers, VNAs, mm-wave calibration) is a relevant plus. Open-minded attitude to learn new skills and expand its expertise boundaries
-
processes in the team (e.g., setting goals, coaching, evaluation). You create a strong team atmosphere and foster opportunities for knowledge sharing and cross‑learning. You interact closely with your peers