Senior Systems Engineer, ML & Vector Search — Equity

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA, is seeking an outstanding software engineer to advance unstructured data processing libraries, cuVS and cuML. You will craft optimized C++/CUDA code for vector preprocessing, indexing, and search, and contribute to high-performance ML algorithms.

You will collaborate with a multi-disciplinary team, implement solutions in C++, CUDA and Python, and help push open source projects like cuML, cuVS, and RAFT.

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 concepts, 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 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

ML concepts

GPU programming

Parallel programming

Software development

Communication

Education

BS, MS, or PhD in CS/AI/Applied Math

Tools

cuVS

cuML

RAFT

Milvus

Job description

NVIDIA in Santa Clara, CA, is seeking an outstanding software engineer to advance unstructured data processing libraries, cuVS and cuML. You will craft optimized C++/CUDA code for vector preprocessing, indexing, and search, and contribute to high-performance ML algorithms.

You will collaborate with a multi-disciplinary team, implement solutions in C++, CUDA and Python, and help push open source projects like cuML, cuVS, and RAFT.