Please note: This position requires candidates to be proficient in using Chinese as the working language. Compensation: This is a paid position. Compensation will be provided in accordance with company policy. Details will be discussed with qualified candidates during the interview process. This role focuses on general-purpose infrastructure for quantitative research. The emphasis is on stability, transparency, and maintainability in long-lived high-performance systems. Typical problems involve tail latency, resource jitter, regressions, opaque execution paths, anomaly attribution, capacity boundaries, and accumulated …

Build the Future of NASA Enterprise Systems A growing technology team supporting NASA is looking for an experienced SAP Business Analyst to help modernize mission-critical enterprise systems used across the agency. This role sits at the intersection of SAP transformation, business process optimization, and large-scale federal modernization initiatives. If you enjoy solving complex operational problems, working with cross-functional teams, and helping modernize systems that support real-world space and engineering missions, this is the kind of role where your work has …

Quantitative Data Scientist Language Requirement: Mandarin Workable Location: Shanghai, China Job Responsibilities: Data Organization and Analysis:Collect, clean, and analyze raw data, evaluate data quality, and ensure accuracy for investment applications. Value Discovery in Quantitative Investing:Identify and extract insights from data to enhance quantitative investment strategies and decision-making processes. Qualifications: Education Background:Bachelor’s or Master’s or PHD’s degree in STEM. Language Skills:Excellent proficiency in both written and spoken English and Chinese, with strong reading comprehension and communication abilities. Data Analysis Expertise:Strong skills …

Please note: This position requires candidates to be proficient in using Chinese as the working language. Compensation: This is a paid position. Compensation will be provided in accordance with company policy. Details will be discussed with qualified candidates during the interview process. This role focuses on storage and data movement for data-intensive and model-intensive workloads. Typical workloads include large datasets, model checkpoints, factor data, and highly concurrent read/write paths. The relevant questions are system-level: how throughput, tail latency, CPU overhead, …