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interpretable ML models in Python and TensorFlow/PyTorch. Experience with geophysical data analysis, interpretation, and the application of AI/ML in geosciences and geophysics. Excellent written and verbal
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. Exposure to data center environments and enterprise platforms. Familiarity with scripting or automation tools such as PowerShell, Python, or similar. Strong analytical and troubleshooting skills with a focus
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. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow. Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data
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deliver a robust internal platform that powers development across the organization. Key Technologies & Tools: Languages: Go, Python, Bash CI/CD: GitLab CI, ArgoCD IaC/Config Management: Puppet, Helm
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technical depth with project delivery. Strong proficiency in automation and infrastructure-as-code frameworks (Ansible, Puppet, Salt). Advanced scripting or programming skills (Python, Bash, Go) for
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related field. Experience in experimental plasma research, plasma diagnostics, or both. Experience with Python, MATLAB, or other relevant scientific programming languages. Scientific research ability
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, scientific reasoning, reinforcement learning, or distributed systems). Strong programming skills (Python, C/C++, or equivalent) and experience with ML frameworks (e.g., PyTorch). Preferred Qualifications
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– in how we treat one another, work together, and measure success. Basic Qualifications: PhD in engineering, materials science, physics, or a related field. Proficiency in Python, LabVIEW, MATLAB
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programming and data analysis skills (e.g., Python, R, MATLAB). Excellent oral and written communication skills, including a record of peer-reviewed publications. Preferred Qualifications: Experience working
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-Level Synthesis (HLS) implementations. Working knowledge of C++/C, Python, Verilog. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams