Senior System Software Engineer, ML and Vector Search

It’s an exciting time for NVIDIA as we expand our capabilities into the world of data science, data processing, and database acceleration. We're looking for an outstanding software engineer to apply their skills in the development of our unstructured data processing libraries, NVIDIA cuVS and cuML. These libraries compile highly optimized C++ and CUDA algorithms and expose them to higher-level languages like Java and Python. These higher-level languages are then used directly or to accelerate other libraries and database systems. In this role, you will research, develop, benchmark, and explore novel tuned custom algorithms for accelerating vector preprocessing, indexing, and search, as well as building high-performance ML algorithms for clustering and visualization. This is a great chance to take advantage of your CUDA/C++ skills and make a huge impact across a rapidly growing industry. Vector search is an exciting new field at the intersection of database and machine learning. You’ll work closely with a team of stellar engineers redefining what’s possible.

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) What we need to see: 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 Ways to stand out from the crowd: Experience developing distributed algorithms and running on distributed systems: HPC, Cloud, etc Strong debugging skills, including for complex multi-language, multi-hardware systems. Familiarity with vector databases and nearest-neighbor algorithms (for example, Milvus, Pinecone, LanceDB; graph and IVF indexes). ML background, including clustering and dimensionality reduction; probability and formal methods; applied research GPU programming is a plus, though we’re happy to teach GPU development. With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous Systems Software Engineer who loves challenges? Do you have a genuine passion for advancing the state of Systems Analytics and Data Intelligence across a variety of industries? If so, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 12, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an