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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI networking communication frameworks and applications for large-scale supercomputers, with a strong focus on Python development, Linux systems, and performance optimization. Collaborates effectively with cross-functional teams to design and implement automation systems and benchmarking tools.
Highest-signal resume keywords
Python DevelopmentLinux ExpertiseAI Systems KnowledgeCluster Orchestration (Slurm, Kubernetes)Performance Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonLinuxAI ModelsBenchmarkingAutomation SystemsParameter SearchPerformance OptimizationMPIHPCNetworking
Tools & Technologies
SlurmKubernetesPyTorchInfiniBandEthernet
Industry Keywords
SupercomputersData CentersLarge-Scale WorkloadsHardware-Software StackNetworking Communication
Tech Stack
Tools & technologiesKubernetesLinuxPythonPyTorch
About the role
Key responsibilities & impact- Develop AI networking communication frameworks and applications running in production on the world’s largest supercomputers and data centers
- Develop production tools and benchmarks used by multiple teams inside and outside NVIDIA
- Enable new AI models within the benchmarking infrastructure and deliver insights through end-to-end analysis of large-scale workloads across hardware and software stacks
- Design and implement automation systems, including large-scale parameter searches to identify optimal configurations across complex systems
- Collaborate with networking and hardware teams to co-design new features and software interfaces
Requirements
What you’ll need- B.Sc. or M.Sc. degree in Computer Science / Software Engineering or equivalent experience
- 5+ years of experience
- Professional Python development experience
- Solid Linux expertise
- Ability to work across a broad and evolving stack, from hardware and networking to large-scale AI systems across entire clusters
- Knowledge and/or experience with PyTorch, LLMs, inference and training
- Familiarity with cluster orchestration systems such as Slurm or Kubernetes
- Knowledge of MPI and HPC, InfiniBand, Ethernet and Networking
- Experience in performance optimizations
Benefits
Comp & perks- Equity
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