Senior Developer Technology Engineer, CPU Performance

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Tech Stack
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.

AI Algorithms @ 7 Communication @ 7 Data Structures @ 4 GPU @ 4 Networking @ 6 Parallel Programming @ 4 Prioritization @ 7 Spark @ 4

Details

NVIDIA is seeking a Senior Developer Technology Engineer specializing in CPU performance. The role focuses on researching algorithms and techniques to optimize data-intensive applications, investigating hardware and system bottlenecks, and improving the performance of critical applications on heterogeneous CPU and GPU computing systems.

Responsibilities

Research and develop techniques to accelerate large-scale applications running on NVIDIA's advanced CPU platforms.
Work with technical experts from industry and academia to analyze and optimize complex database and data analytics workloads for modern CPU architectures.
Publish and present optimization techniques in developer blogs, conferences, and workshops.
Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams.
Investigate customer application performance, design parallel algorithms, and implement optimizations in accelerated computing environments.
Contribute application expertise that influences future NVIDIA hardware and software products.

Requirements

Master's or PhD degree in Computer Science, Computer Engineering, or a related computationally focused science discipline, or equivalent experience.
At least 5 years of relevant work or research experience.
Expert knowledge of modern CPU architectures, including ARM and x86, as well as systems and operating systems.
In-depth knowledge of CPU architecture fundamentals, particularly memory subsystems, cache, DRAM, and storage.
Hands-on experience with low-level parallel programming, vectorization, CPU intrinsics, and concurrent data structures.
Fluency in modern C and C++ with a deep understanding of algorithms, concurrency, and optimization techniques.
Strong communication, organization, problem-solving, and prioritization skills.

Preferred Qualifications

Experience optimizing distributed database systems and frameworks, such as production databases or Spark.
Background in compression, storage systems, networking, and distributed computer architectures.
Knowledge of GPU architectures.

Benefits

Equity and benefits are provided.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.

Applications will be accepted at least until April 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.