Maintenance Engineer ensuring reliability and safety in industrial engineering at Solvay. Leading maintenance team and optimizing processes for improved productivity and safety.
About the role
- Senior Performance and Development Engineer at NVIDIA focusing on optimizing AI workloads and developing scalable AI infrastructure tools. Collaborating with a diverse team to enhance Deep Learning applications.
Responsibilities
- Build AI models, tools and frameworks that provide real time application performance metrics that can be correlated with system metrics.
- Develop automation frameworks that empower applications to thoughtfully predict and overcome system/infrastructure failures, ensuring fault tolerance.
- Collaborate with software teams to pinpoint performance bottlenecks.
- Design, prototype, and integrate solutions that deliver demonstrable performance gains in production environments.
- Adapt and enhance communication libraries to seamlessly support innovative network topologies and system architectures.
- Design or adapt optimized storage solutions to boost Deep Learning efficiency, resilience, and developer productivity.
Requirements
- BS/MS/PhD (or equivalent experience) in Computer Science, Electrical Engineering or a related field.
- 12+ years of proven experience in analyzing and improving performance of training applications using PyTorch or similar framework.
- Building distributed software applications using collective communication libraries such as MPI or NCCL or UCC.
- Construct storage solutions for Deep Learning applications.
- Building automated fault tolerant distributed applications.
- Building tools for bottleneck analysis and automation of fault tolerance in distributed environments.
- Strong background in parallel programming and distributed systems.
- Experience analyzing and optimizing large scale distributed applications.
- Excellent verbal and written communication skills.
Benefits
- Equity and benefits
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