Senior Software Engineer, GNN

NVIDIA; California (MO); On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA has a Senior Software Engineer opening to build large-scale ML solutions, including GNNs, TFMs, and ensembles, accelerating PyTorch frameworks and customer-facing tools. You will help shape high-performance training and inference workflows on NVIDIA GPU infrastructure.

You will collaborate with developers, PMs, and scientists, provide technical leadership, and drive performance optimizations across distributed systems.

Qualifications

• Bachelor’s degree (or equivalent) with 5+ years in ML or data science
• 3+ years of PyTorch experience
• 2+ years training enterprise-scale ML models on distributed infrastructure
• 2+ years designing and operating GPU-based training/inference workflows
• Excellent C++ programming and software design
• Strong collaboration, communication, and documentation habits

Responsibilities

• Develop accelerated PyTorch-based solutions for large-scale models on GPU infrastructure
• Support CUDA-X Libraries and integrations used in PyTorch workflows
• Partner with developers, PMs, and scientists on GNN models and GPU-accelerated implementations
• Gather technical requirements from customers and Solutions Architects to guide priorities
• Provide technical leadership and mentorship across the team
• Identify opportunities to improve the codebase and reduce maintenance via refactoring
• Apply agentic coding tools to fix bugs and implement new features
• Coordinate across multiple teams to achieve shared objectives

Skills

PyTorch

C++ programming

Collaboration

Communication

Documentation

Education

Bachelor's degree or equivalent

Master's degree or PhD (advantage)

Tools

CUDA

GPU acceleration

Job description

NVIDIA is seeking a highly experienced and passionate Senior Software Engineer to join a team building large-scale machine learning solutions, including Graph Neural Networks, Tabular Foundation Models, and ensemble models. This role is critical to accelerating PyTorch-based frameworks and supporting user-facing tools that power NVIDIA’s cutting‑edge data science solutions. The team works at the intersection of high-performance computing, GPU acceleration, machine learning infrastructure, and customer‑facing software. This is an opportunity to shape efficient training and inference workflows for advanced machine learning models running on NVIDIA GPU infrastructure. If you are passionate about building high‑performance software and enabling customers to solve complex data science problems at scale, we would love to hear from you. NVIDIA teams work on some of the world’s most ambitious computing problems, helping organizations adopt AI technologies that enable faster, smarter decisions.

What you’ll be doing

• Develop accelerated, PyTorch-based solutions for large-scale machine learning models, including GNNs, TFMs, and ensemble models, with a focus on efficient training and inference on GPU infrastructure
• Support CUDA-X Libraries and integrations used in PyTorch-based, large-scale machine learning workflows
• Partner with developers, product managers, and scientists to develop innovative GNN models and GPU‑accelerated implementations for model development and prediction phases
• Develop solutions that help customers adopt NVIDIA hardware and software, and gather technical requirements directly from customers and Solutions Architects to guide product and engineering priorities
• Provide technical leadership and mentorship to engineers across the team
• Identify opportunities to improve the codebase and reduce code‑maintenance overhead through re‑architecture
• Apply agentic coding tools to identify and fix bugs, implement new features, and refactor code
• Solve complex technical issues, explain solutions clearly, exercise technical leadership, and coordinate across multiple teams to achieve shared objectives

What We Need To See

• Bachelor’s degree (or equivalent experience) plus 5 or more years of relevant experience in large-scale machine learning, deep learning, and general data science; or a Master’s degree or PhD plus 3 or more years of relevant experience
• 3 or more years of experience with PyTorch
• 2 or more years of experience training enterprise‑scale machine learning models across distributed infrastructure
• 2 or more years of experience designing and operating efficient training and inference workflows on GPU infrastructure, including profiling, scaling, orchestration, and resource utilization
• Excellent C++ programming and software design skills
• Proven experience developing, debugging, and optimizing high-performance applications, preferably with GPU acceleration using CUDA
• Strong collaboration, communication, and documentation habits

Ways To Stand Out From The Crowd

• Experience developing or deploying Graph Neural Network solutions using PyTorch Geometric, or a similar framework
• Experience working with data warehouse and lakehouse platforms, such as Snowflake or Databricks
• Experience in two or more of the following domains: finance, cybersecurity, government or national laboratories, and retail
• Strong understanding of system architecture, CPU, GPU, memory, and storage systems, as well as performance optimization
• Experience with customer engagement and technical support, particularly for data science workflows and with vector search and storage solutions, such as FAISS or Milvus

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. If you are creative and autonomous, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.