Senior DL Systems Engineer - Autonomous Vehicles at Scale

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA Corporation seeks a Senior Deep Learning Systems Engineer to design and scale training libraries and infrastructure for autonomous vehicles research. You will enable training on thousands of GPUs and large datasets, collaborating with researchers and platform teams to improve efficiency and reliability.

Your role involves building robust training pipelines, optimizing data loading and scheduling, and ensuring fault-tolerant systems as GPU capacity and data scale grow.

Qualifications

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience.
• 12+ years of professional experience building and scaling high-performance distributed systems, ideally in ML, HPC, or large-scale data infrastructure.
• Extensive knowledge in deep learning frameworks (PyTorch preferred), large scale training (DDP/FSDP, NCCL, tensor/pipeline parallelism), and performance profiling.
• Strong systems background: datacenter networking (RoCE, IB), parallel filesystems (Lustre), storage systems, schedulers (Slurm, Kubernetes, etc.).
• Proficiency in Python and C++, with experience writing production-grade libraries, orchestration layers, and automation tools.
• Ability to work closely with multi-functional teams and translate requirements into robust systems.

Responsibilities

• Crafting, scaling, and hardening deep learning infrastructure libraries and frameworks for training on multi-thousand GPU clusters.
• Improving efficiency throughout the training stack: data loaders, distributed training, scheduling, and performance monitoring.
• Building robust training pipelines and libraries to handle massive video datasets and enable rapid experimentation.
• Collaborating with researchers, model engineers, and internal platform teams to enhance efficiency, minimize stalls, and improve training availability.
• Owning core infrastructure components such as orchestration libraries, distributed training frameworks, and fault-resilient training systems.
• Partnering with leadership to ensure infrastructure scales with growing GPU capacity and dataset size while maintaining developer efficiency and stability.

Skills

Distributed systems

Python

C++

Deep learning

PyTorch

NCCL

FSDP

RoCE

Kubernetes

Lustre

Slurm

Performance profiling

Education

BS/MS/PhD in Computer Science / Electrical Engineering / related field

Tools

PyTorch

NCCL

FSDP

Slurm

Kubernetes

Lustre

RoCE

IB

Job description

NVIDIA Corporation seeks a Senior Deep Learning Systems Engineer to design and scale training libraries and infrastructure for autonomous vehicles research. You will enable training on thousands of GPUs and large datasets, collaborating with researchers and platform teams to improve efficiency and reliability.

Your role involves building robust training pipelines, optimizing data loading and scheduling, and ensuring fault-tolerant systems as GPU capacity and data scale grow.