and accountable. These are ourvaluesand influence everything we do. Preferred Qualifications Familiarity building scalable services in a microservices architecture. Familiarity with statistical tools such as SAS, or Python (with NumPy, SciPy, Pandas) Familiarity with public cloud platforms, such as AWS, Azure, or GCP. Strong testing automation experience, preferably in unit frameworks Diverse and Inclusive At SAS, it's not about More ❯
with LLM/GenAI prompting and augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn, Keras/TensorFlow, PyTorch, LangChain, Huggingface transformers etc. Familiar with both on-premises and cloud-based platforms (e.g. AWS). Working understanding of ML Ops workflows and ability More ❯
You Experience with test equipment (oscilloscopes, VNAs, SMUs) and automation tools (e.g. Python, TestStand). Experience with ATE systems Strong analytical skills and experience with data tools (e.g. JMP, numpy). Hands-on experience with probers/handlers. If you would like to be considered for the Product Test Engineer opportunity or would like further information, please contact Luke Ord. More ❯
You Experience with test equipment (oscilloscopes, VNAs, SMUs) and automation tools (e.g. Python, TestStand). Experience with ATE systems Strong analytical skills and experience with data tools (e.g. JMP, numpy). Hands-on experience with probers/handlers. If you would like to be considered for the Product Test Engineer opportunity or would like further information, please contact Luke Ord. More ❯
