6 quantitative software engineer jobs at 3 companies in North Carolina
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Manager, Software Development
Cary, North Carolina, United States
HybridFull Time
SAS Institute: Provides advanced analytics, AI, and data management software solutions.
8+ YOEMinimum 8 years in software development; bachelor’s in a quantitative field; experience leading engineering teams and delivering cloud-native SaaS using AWS, Kubernetes, Docker; strong leadership and collaboration skills.
SAS Institute: Provider of advanced analytics, AI, and data management software.
8+ YOE8+ years in software development or enterprise software delivery, bachelor's degree in a quantitative field, experience leading engineering teams and delivering cloud-based SaaS using AWS, Kubernetes, Docker, Agile practices.
AI Engineer/ML Engineer - Senior Developers - AI Training - Raleigh, US
Raleigh or United States
$80/hrRemoteContract, Part Time
Prolific: Platform connecting researchers and AI developers with verified participants.
Advanced ML expertise with production experience building/deploying/fine-tuning models, deep learning and LLM experience (RLHF, RAG, prompt engineering), strong analytical skills, and a degree in CS/AI/Robotics or related quantitative field.
Manager, Software Development- SAS Developer Experience
Cary, North Carolina, United States
HybridFull Time
SAS Institute: Provider of advanced analytics, AI, and data management software.
8+ YOE2+ Mgmt8+ years programming or testing experience including 2+ years technical leadership; bachelor's in a quantitative field preferred; experience with Agile, CI/CD, IaC, cloud platforms and tools such as Ansible, Terraform, Git, ArgoCD, Jenkins, Kubernetes; legal US work authorization required.
4+ YOE4+ years in data/ML/software engineering; Bachelor’s or Master’s in CS/ML or quantitative field; strong Python, SQL, production data pipeline and cloud (AWS) experience; evaluation and metric design for AI systems.
Dimensional Fund Advisors: Provides systematic investment solutions based on financial science.
Bachelor's in a quantitative field, experience building full-stack systems, expertise with relational databases, component front ends, messaging and large datasets; strong analytical and mentoring skills.