Elve: Manufactures high-efficiency power amplifiers for high-speed wireless networks.
3+ YOEExperience designing data pipelines, analyzing data, Python for processing, familiarity with SPC/industrial data, and IoT data integration; on-floor troubleshooting.
HeartFlowNASDAQ: HTFL: Provides AI-driven non-invasive cardiac diagnostic software and analysis.
5+ YOE5+ years of Data Engineering in AWS with RCM/Financial data; Python, SQL, Dagster, Cube.js, DBT, YAML; experience with Redshift, Athena; Tableau datasets/reports.
Form Energy: Developing multi-day batteries for grid-scale energy storage.
8+ YOE8+ years in software or data engineering; strong Python/SQL; experience with FastAPI/Flask, dbt, Dagster, PySpark; proficient with Git and AWS (S3, EC2, RDS); solid SDLC knowledge; experience with OLAP/time-series DBs (Snowflake, Databricks DBSQL, ClickHouse, InfluxDB).
6+ YOEUndergraduate degree in CS, Physics, Applied Physics, or Electrical Engineering; 6+ years in data science and statistical analysis; Python and SQL experience; collaborative environment.
Applied MaterialsNASDAQ: AMAT: Produces equipment and services for chip and display manufacturing.
BS or MS in Physics or Materials Science; semiconductor process engineering experience a plus; strong data analysis; familiarity with PVD, braze, and etching processes is beneficial; Linux and Python a plus; able to work independently and in a team.
Keysight TechnologiesNew York Stock Exchange: KEYS: Manufactures hardware and software for electronic test and measurement.
3+ YOEBachelor’s degree in Industrial Engineering, Manufacturing Engineering, or Industrial & Systems Engineering; 3+ years in industrial engineering or manufacturing analytics; strong analytical skills; experience with ERP/MES and data analytics tools.
Keysight TechnologiesNYSE: KEYS: Provides electronic design, test, and simulation software and hardware.
0+ YOEBachelor’s in CS/EE, internship/project in test software, Python (preferred), OpenTap/C#/similar acceptable, test equipment familiarity, electronics basics, data analysis (pandas/NumPy), strong problem solving and communication.
Postdoctoral Scholar in Bay Area, California, United States
Berkeley, California, United States
$69k-$107k/yrOnsiteFull Time
Lawrence Berkeley National Laboratory: Conducts multidisciplinary scientific research for the U.S. Department of Energy.
PhD in Chemistry, Materials Science, Computational Science, Data Science, Applied Mathematics, Physics, Chemical Engineering or related field; experience with thermodynamics, calorimetry, atomistic simulations, and machine learning modeling; proficient in Python/C++.
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Keysight TechnologiesBlackRockElveForm EnergyHeartFlowLawrence Berkeley National LaboratoryApplied MaterialsGlyphic Biotechnologies