Senior Developer Technology Engineer, CPU Performance

Nvidia

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CANew York, NY
Salary: $152,000–$241,500 / yr
Posted: 37 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k

This role $197k

$141k most similar roles pay here $259k

This role pays less than 57% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $206k for comparable roles.

Based on 240 similar postings.

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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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Developer Technology Engineer, CPU Performance

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As a Senior Developer Technology Engineer, CPU Performance, you will join the Developer Technology Team to research and develop techniques for accelerating large-scale applications on advanced CPU platforms. You will perform in-depth analysis of complex database and data analytics workloads, collaborating with experts from industry and academia to optimize performance on modern hardware architectures. Your daily work involves identifying system bottlenecks, designing parallel algorithms, and publishing optimization findings in blogs or at conferences. The role requires expert knowledge of ARM and x86 CPU architectures, memory subsystems, and low-level parallel programming including vectorization, CPU intrinsics, and concurrent data structures. You must demonstrate proficiency in modern C/C++ and a deep understanding of algorithms and concurrency to solve performance challenges within heterogeneous computing environments involving both CPUs and GPUs.

Skills

C++ C x86 ARM GPU Parallel Programming Vectorization CPU Intrinsics Concurrent Data Structures Spark HPC Accelerated Computing Memory Subsystem Data Analytics Algorithms Storage Systems Networking

What you'll do

Research and develop techniques to accelerate large-scale applications on NVIDIA CPU platforms.
Perform in-depth analysis and optimization of complex database and data analytics workloads.
Identify and resolve hardware and system bottlenecks on heterogeneous computing systems.
Implement low-level parallel programming, vectorization, and concurrent data structures using C/C++.
Publish and present discovered optimization techniques in developer blogs and at industry conferences.
Influence the design of next-generation hardware architectures, software, and programming models.
Collaborate with external experts to investigate performance and design parallel algorithms for accelerated computing.

What we're looking for

Master's or PhD in Computer Science, Computer Engineering, or a related computationally focused science degree (or equivalent experience).
At least 5 years of relevant work or research experience.
Expert knowledge of modern CPU architectures including ARM and x86.
In-depth expertise in CPU architecture fundamentals, specifically memory subsystems like cache, DRAM, and storage.
Hands-on experience with low-level parallel programming, vectorization, CPU intrinsics, and concurrent data structures.
Programming fluency in modern C/C++ with a deep understanding of algorithms and concurrency.
Experience optimizing distributed database systems, frameworks, compression, storage systems, or networking.
Knowledge of GPU architectures and distributed computer architectures.

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