5 quantitative software engineer jobs at 3 companies in York, PA
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Software Engineer - TS/SCI required
Aberdeen or Edgewood
$75k-$131k/yrOnsiteFull Time
ParsonsNYSE: PSN: Provides engineering and technology services for infrastructure and defense.
0+ YOEBachelor's or Master's in a quantitative field, 0–10+ years software engineering experience, strong programming and systems-integration skills, familiarity with Agile/DevOps/DevSecOps and MOSA/ISA standards, and active TS/SCI required.
ParsonsNYSE: PSN: Provides engineering and technology services for infrastructure and defense.
Design, develop, and maintain scalable software and integrations for defense customers; active Secret clearance required; bachelor’s degree in a quantitative field; strong programming and problem-solving skills.
Research Software Engineer - Robotics & Simulation (Data Science and AI Institute)
Baltimore, Maryland, United States
HybridFull Time
Johns Hopkins University: A private research university providing higher education and clinical healthcare.
3+ YOEMaster's in a quantitative discipline, 3+ years software development and AI/ML or data science experience, expertise in scientific software engineering, cloud/on-prem workflows, databases, and strong communication skills.
SuccessFactors Recruiting: Research Software Engineer - Robotics & Simulation (Data Science and AI Institute) (121856)
Baltimore, Maryland, United States
HybridFull Time
Johns Hopkins University: Private research university providing higher education and global research.
3+ YOEMaster's in a quantitative discipline required,3+ years software development and AI/ML or data science experience,expertise in scientific software engineering,Python or C++,containerization,SQL,Linux,Git,cloud and strong communication skills.
AI Engineer/ML Engineer - Senior Developers - AI Training - Baltimore, US
Baltimore or United States
$80/hrRemoteContract, Part Time
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related quantitative field; experience building, deploying, or fine-tuning ML models; deep learning and LLM workflows (RLHF, RAG) expertise; strong analytical and auditing skills.