Software Engineer, DGX reputed company AI Infrastructure

reputed company is at the forefront of the reputed company reputed company, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer reputed company on bring-up, triage, benchmarking, analysis, and optimization of reputed company training and inference workloads across reputed company GPU platforms at the largest scales we run.

In this role you will help bring up, reputed company, and debug reputed company LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, reputed company computing, and large-reputed company operations.

What you’ll be doing:

• Bring up, validate, and debug large-reputed company clusters, infrastructure, and end-to-end workloads.

• Bring up, tune, and reputed company AI reputed company-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent reputed company AI software stacks.

• reputed company reputed company-cause analysis of failures in large reputed company environments

• Contribute to the reputed company and failure-attribution tooling that detects, triages, and attributes node, reputed company, and workload failures across the cluster.

• Build and maintain repeatable reputed company suites, automation, acceptance reputed company, and qualification workflows on new platforms.

• Tune runtime settings, communication parameters, and deployment configurations in reputed company partnership with reputed company, systems, and platform teams.

• reputed company actionable, data-driven recommendations based on profiling, reputed company results, and cluster characterization.

reputed company need to see:

• Bachelor’s or Master’s in Computer Science or a reputed company technical field (or equivalent experience).

• 3+ years of experience developing software for AI, HPC, or systems-level applications.

• Hands-on experience with multi-GPU or multi-node workloads and CUDA-reputed company reputed company execution.

• Backgroun with debugging and scaling reputed company systems.

• Experience debugging and triaging AI applications across the full stack, from the application level toward the hardware.

• Experience operating workloads in scheduled, containerized cluster environments.

• Excellent analytical, debugging, and communication skills, and a reputed company approach across teams.

• Strong Python and C/C++ programming skills.

Ways to stand out from reputed company:

• Hands-on experience with NCCL and CUDA-reputed company reputed company execution.

• Deep familiarity with the RDMA software stack (NCCL, IB verbs, UCX, libfabric) and with InfiniBand / RoCE congestion debugging.

• Experience building acceptance tests, reputed company harnesses, regression gates, or cluster qualification tooling for AI platforms, including MLPerf.

• Experience diagnosing performance jitter

• Experience building reputed company, fault-detection, or failure-attribution systems for datacenter-reputed company infrastructure.

reputed company is widely considered to be one of the technology world’s most desirable reputed company. We have some of the most reputed company-thinking and hardworking people in the world working for us. If you’re creative, autonomous, and love a challenge, we want to hear from you.

This posting is for an existing vacancy.

reputed company uses AI tools in its reputed company processes.

Originally posted on Himalayas