Senior System Software Engineer - Neural Graphics SDKs

About the role

NVIDIA is seeking a System Engineer to join our team in building the Omniverse NuRec SDK. This role involves developing and maintaining NVIDIA's software ecosystem for neural graphics, including key open-source projects like GSplat. The ideal candidate will work with a vibrant community of developers who aim to bridge the gap between the real world and simulations.

Responsibilities

• Implement, validate, release, and maintain SDKs, APIs, and libraries for Neural Reconstruction, including key open-source projects like GSplat.
• Influence software architecture, validation strategies, and technical roadmaps to ensure outstanding usability for developers across various fields, from research to large-scale production use.

Requirements

• Master's of Science in Computer Science or Electrical Engineering or equivalent experience.
• 5+ years of practical experience in developing and maintaining developer-focused, production-grade software for computer graphics or computer vision (e.g., game engines, rendering software).
• Proficiency with Python and C++.
• Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
• Experience developing high-performance distributed systems (micro-services, Kubernetes).
• Strong written, visual, and verbal communication skills to present architectural challenges, trade-offs, and alternatives.
• Curiosity and drive to learn new technologies and partner across teams and functions.

Qualifications

• Strong fundamentals in real-time graphics or other performance-critical domains.
• Experience in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.
• Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats).
• History of multidisciplinary creativity and innovation around software engineering in multiple problem domains.

Skills

• Experience with AI and machine learning frameworks.
• Knowledge of cloud computing platforms (AWS, Azure, GCP).
• Understanding of data pipelines and machine learning workflows.

Benefits

• Competitive base salary ranging from $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.
• Equity and comprehensive benefits package.

Pay

• Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

• Full-time position.

Benefits

• Health insurance.
• Retirement plans.
• Flexible working hours.
• Professional development opportunities.

Application Instructions

• Applications accepted until May 2, 2026.