Senior System Software Engineer - ML & Vector Search Equity

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a Systems Software Engineer to advance unstructured data processing libraries such as cuVS and cuML. You will design and optimize GPU algorithms for vector search and ML, collaborating with a cross-functional team to deliver high-performance code in C++, CUDA, and Python.

The role emphasizes research, benchmarking, and implementation, with opportunities to contribute to open source projects and leverage distributed and parallel computing concepts in a dynamic, innovative

Qualifications

• BS, MS, or PhD in Computer Science, Data Science or AI, Applied Math, or related field (or equivalent experience).
• 8+ years of experience programming in C++ or ability to learn it, by moving from a similar language: C, Rust, Java
• Experience with ML: ML concepts (approximation vs exact, iterative vs. closed-form), writing ML algorithms, and using ML to solve problems.
• Strong analytical problem-solving skills, algorithms and mathematics fundamentals.
• Excellent software development skills: programming, debugging, performance analysis, and test design
• Ability to work independently and manage your own development efforts.
• Good communication and documentation habits.
• You care deeply about robust, readable, high-performance code
• Familiar with at least one parallel programming or concurrency framework, such as CUDA, OpenMP, OpenACC, Java concurrency, pthreads, etc

Responsibilities

• Analyze, design, and implement optimized GPU algorithms for large-scale vector search, databases, and machine learning.
• Drive performance analysis, benchmarking, and optimization of associated libraries.
• Collaborate with a multi-functional team to understand requirements and implement or improve solutions
• Developing and improving machine learning algorithms.
• Implementing solutions in C++, CUDA and Python.
• Contributing to open source projects (like cuML, cuVS, and RAFT)

Skills

C++

CUDA

Python

Parallel programming

Software development

Education

BS/MS/PhD in CS or related field

Tools

CUDA/OpenMP/OpenACC

Java concurrency

Pthreads

Linux

Job description

NVIDIA is seeking a Systems Software Engineer to advance unstructured data processing libraries such as cuVS and cuML. You will design and optimize GPU algorithms for vector search and ML, collaborating with a cross-functional team to deliver high-performance code in C++, CUDA, and Python.

The role emphasizes research, benchmarking, and implementation, with opportunities to contribute to open source projects and leverage distributed and parallel computing concepts in a dynamic, innovative