HPC Middleware Developer

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CAILCOBoulder, COCAHolmdel, NJ
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 28 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $197k

$123k $254k

below market most similar roles pay here above market

This role pays more than 64% of similar roles. Most pay $137,251–$217,700 — the blue band above. At the midpoint, this role pays about $197k versus about $177k for comparable roles.

Based on 240 similar postings.

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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · HPC Middleware Developer

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As a senior HPC software engineer within the High Performance Computing Software development team, you will design and implement new protocols and algorithms to achieve peak performance on Nvidia networked supercomputers and datacenters. Your daily responsibilities involve developing high performance communication frameworks and applications for production environments while co-designing new hardware features and software APIs with networking chip design teams. You must possess five years of C/C++ programming experience, three years in Linux environments, and deep knowledge of networking protocols like InfiniBand and Ethernet. The role requires expertise in computer architecture, operating systems, and performance optimizations. You will solve complex technical problems in machine learning, cloud computing, and system co-design, focusing on scalability and features for the world’s largest supercomputers and datacenters.

Skills

C C++ Linux InfiniBand Ethernet MPI RDMA High Performance Computing Networking Protocols Computer Architecture Operating Systems Performance Optimization GPU Deep Learning Cloud Computing

What you'll do

Design and implement new protocols and algorithms for Nvidia networked supercomputers and datacenters.
Develop high-performance communication frameworks and applications for production use.
Co-design new hardware features and software APIs with networking chip design teams.
Optimize software performance for scalability and high-performance computing environments.
Deliver production-grade solutions for machine learning and cloud computing challenges.
Implement software solutions that leverage RDMA technology and InfiniBand/Ethernet protocols.

What we're looking for

5 years of experience programming in C/C++.
3 years of experience in a Linux environment and tools.
Deep knowledge of networking protocols such as InfiniBand and Ethernet.
Deep knowledge of computer architecture and operating systems.
Experience in performance optimizations.
MSc or equivalent experience in computer science or software engineering.
PhD or equivalent experience in CS, EE, Math, or Physics (preferred).
Knowledge in MPI, high-performance computing, RDMA technology, or open source software (preferred).

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