Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training.
Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management.
Deploy AI models.
Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns.
Analyze and operationalize complex distributed systems for speed-of-light performance.

Requirements

Master’s degree in Computer Science | Electrical Engineering (or equivalent experience)
8+ years of experience developing high-performance, scalable software systems
Strong programming skills in Python or Golang
Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus
Strong architectural skills with a proactive, problem-solving mentality
Experience in data mining | AI development
Experience building ETL pipelines and working with big data engines
Exceptional collaboration skills to work with system software and AI expert teams
Eagerness to learn and adopt new technologies such as NVIDIA RAPIDS.

Benefits

equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonGolangKubernetesHelmHiveParquetSQLvector databasesETL pipelinesAI development

Soft Skills

collaborationproblem-solvingproactive

Certifications

Master’s degree in Computer ScienceMaster’s degree in Electrical Engineering