Senior Developer Technology Engineer, CPU Performance

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Spark @ 4 Algorithms @ 4 Data Structures @ 4 Communication @ 4 Networking @ 4 Parallel Programming @ 4 Prioritization @ 4 GPU @ 4 AI @ 4

Details

We are currently seeking a Senior Developer Technology Engineer, CPU Performance at NVIDIA. You will research and develop techniques to accelerate large-scale applications running on NVIDIA’s advanced CPU platforms, analyze and optimize complex database and data analytics workloads, and influence next-generation hardware and software designs. The role involves publishing findings, presenting to the developer community, and collaborating with internal research, hardware, system software, libraries, and tools teams.

Responsibilities

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 to ensure the best possible performance on modern CPU-focused hardware architectures.
Investigate hardware and system bottlenecks and optimize performance of critical applications on heterogeneous systems (CPUs and GPUs).
Work directly with external and internal technical experts (industry and academia) to design parallel algorithms and implement optimizations.
Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.
Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams.

Requirements

Masters 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 (ARM, x86) and system/OS concepts.
In-depth expertise with CPU architecture fundamentals, especially the memory subsystem (cache, DRAM, 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, concurrency, and optimization techniques.
Good communication and organization skills, logical problem solving and prioritization abilities.

Ways to Stand Out

Experience optimizing the performance of distributed database systems and frameworks (e.g., production databases or Spark).
Background with compression, storage systems, networking, and distributed computer architectures.
Knowledge of GPU architectures.

Compensation & Benefits

Base salary ranges: $152,000 - $241,500 USD for Level 3, and $184,000 - $287,500 USD for Level 4.
Eligible for equity and benefits (link to NVIDIA benefits provided in the posting).

Additional Information

#LI-Hybrid (hybrid office policy).
Applications accepted at least until March 21, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity.