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Tech Stack
Tools & technologiesCyber SecurityLinuxPythonSpark
About the role
Key responsibilities & impact- Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets
- Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues
- Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies
- Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection
- Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
Requirements
What you’ll need- BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience)
- 5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research
- Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs
- Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities
- Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments
- Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience
- Strong analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment.
Benefits
Comp & perks- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
- bonuses
- stock options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GPU accelerationmachine learningdeep learningstatisticsPythonC/C++BashLinux utilitiesbig data frameworksdistributed computing
Soft Skills
communicationpresentationanalytical skillsproblem-solvingmultitasking