Join NVIDIA’s GPU Communications Libraries and Networking team as a Partner Enablement Engineer to support key partners and customers using NCCL in deep learning and high-performance computing applications. You’ll engage with clients to diagnose functional and performance issues, conduct performance analysis on groundbreaking GPU clusters, develop tools for issue isolation across various platforms including cloud environments like Azure, AWS, and GCP, guide teams on HPC methodologies, document processes, and deliver training sessions. Ideal candidates have a B.S./M.S. in CS/CE or equivalent experience with 5+ years in parallel programming and communication runtimes such as MPI, NCCL, UCX, NVSHMEM. Strong C/C++ skills, Linux fundamentals, scripting (preferably Python), and expertise in high-performance networking are essential, along with familiarity with CUDA, GPUs, and deep learning frameworks like PyTorch and TensorFlow.
Skills
C/C++
Python
Linux
Docker
Kubernetes
SLURM
Ansible
MPI
NCCL
UCX
NVSHMEM
Infiniband
RoCE
Ethernet
RDMA
CUDA
PyTorch
TensorFlow
HPC
CI/CD
What you'll do
Engage with partners to resolve functional and performance issues with NCCL.
Conduct performance analysis of NCCL on GPU clusters with high-speed networking.
Develop tools to isolate issues on new systems and cloud platforms.
Guide customers on HPC methodologies for multi-node cluster applications.
Document and conduct trainings/webinars for NCCL users and support teams.
Collaborate with internal teams across different time zones on infrastructure.
What we're looking for
B.S./M.S. in CS/CE or equivalent with 5+ years of relevant HPC/AI experience.
Expertise in C/C++ programming and debugging complex systems.
Experience with parallel programming and communication runtimes like MPI, NCCL.
Proficiency in Linux fundamentals, scripting languages (Python), and container technologies.
Knowledge of high-performance networking including Infiniband/RoCE/Ethernet.
Familiarity with cloud provisioning tools such as Docker, Kubernetes, and SLURM.
Ability to conduct performance benchmarking and develop infrastructure on HPC clusters.
Market check
Salary context
This
$152,000–$241,500
range sits above
70%
of similar postings on FindRole.
Peer median band
$131,468–$227,125
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$217,725
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Us, Or, Hillsboro, US28 days ago
$152,000–$241,500
CUDA
Python
C++
GPU
Distributed Computing
Computational Geometry
AI
CI/CD
Linux
HPC
Big Data
Terraform
AWS
Kubernetes
PostgreSQL
MESOS
Spark
TensorFlow