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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing AI infrastructure services, with a strong focus on backend development using high-performance languages and cloud computing platforms. Proficient in building scalable distributed systems and integrating AI models with advanced orchestration and container technologies.
Highest-signal resume keywords
Backend DevelopmentPython ProgrammingKubernetes OrchestrationCloud Computing (AWS, Azure, GCP)Distributed Systems
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop and optimize AI infrastructure services for DGX Cloud
- Develop solutions at the intersection of machine learning, distributed systems, and high-performance computing
- Design, develop, and optimize microservices orchestrated by Kubernetes for large-scale AI training workflows on AI training supercomputers at major cloud service providers
- Co-design and implement APIs integrating services with NVIDIA's resiliency stacks, including telemetry, break/fix automation, checkpoint, and execution systems
- Create a submission abstraction for long-running training jobs, handling infrastructure failures, auto-restarts, job lifecycles, efficiency, and user advisories
- Build modular services deployable onto on-premises AI clusters using NVIDIA hardware and cloud services
- Enhance infrastructure and products underpinning NVIDIA's AI platforms
Requirements
What you’ll need- A Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience)
- 5+ years of hands-on experience in backend development, preferably with Python, Go, C/C++, or similar high-performance languages
- Consistent track record of building and scaling large-scale distributed systems
- Experience with cloud computing platforms such as AWS, Azure, and GCP
- Experience with container technologies like Docker and Kubernetes
- Experience with HPC/AI platforms such as Slurm
- Real world experience in DL frameworks, orchestrators like PyTorch, TensorFlow, JAX, and Ray
- Experience in developing a framework plugin architecture that allows the framework to be integrated with the cluster scheduler visibly to the users
- Strong understanding of NVIDIA GPUs, network technologies, and their failure patterns
- Experience with AI models and AI based tools
- Provide references to your code contributions
Benefits
Comp & perks- Equity
- Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
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Hard Skills
PythonGoC/C++DockerKubernetesHPC/AI PlatformsDeep Learning FrameworksSlurmAPI DevelopmentFramework Plugin Architecture
Tools & Technologies
NVIDIA GPUsTelemetry SystemsBreak/Fix AutomationCheckpoint SystemsExecution Systems
Industry Keywords
AI InfrastructureMachine LearningHigh-Performance ComputingDistributed SystemsAI Training Workflows