Senior System Software Engineer - Neural Graphics Performance

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe is seeking a graphics performance engineer in Santa Clara, California. You will implement and optimize advanced algorithms using CUDA and Slang to enhance performance in AI and simulation. This role demands expertise in real-time computer graphics and proficiency in Python and C++.

The salary for this position ranges from $152,000 to $241,500 for Level 3, and $184,000 to $287,500 for Level 4, along with equity and benefits. Join our innovative team to shape the future of Physical AI!

Qualifications

• 3 years of practical experience in software engineering.
• Expertise in low-latency, high-throughput applications.
• Track record of releasing production-grade software.

Responsibilities

• Implement and optimize reconstruction and rendering algorithms.
• Optimize data processing pipelines for performance.
• Influence software architecture and validation strategies.

Skills

CUDA

Slang

GPU-accelerated software

C++

Python

performance metrics

real-time computer graphics

Education

Master's of Science in Computer Science or Electrical Engineering

Job description

NVIDIA is a world‑leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed‑loop validation and closed‑loop training grounded in real‑world scenarios.

Love GSplat? So do we! We are looking for a graphics performance engineer to push Gsplat and other accelerated libraries to speed of light, achieving full system utilization and occupancy and enabling our latest hardware capabilities. Your software will run on incredible amounts of data to bridge the gap between the real world and simulations. Join our amazing team and help us build the future of Physical AI!

What you’ll be doing:

• Implement, validate, release and maintain highly‑optimized reconstruction and rendering algorithms using CUDA and Slang.
• Optimize data processing pipelines for low latency and maximum throughput.
• Influence software architecture, validation strategy and technical roadmaps to ensure outstanding performance.

What we need to see:

• Master's of Science in Computer Science or Electrical engineering (or equivalent experience).
• 3 years of practical experience.
• Strong fundamentals in real‑time computer graphics. Expertise in GPU‑accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low‑latency, high‑throughput applications.
• Expertise defining and driving performance metrics through profiling and benchmarking.
• Proficiency with Python and C++.
• Track record releasing production‑grade software. Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
• Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
• Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:

• Contributions to 3D game engines, graphics or computer vision SDKs.
• Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats).
• Experience developing high‑performance distributed systems.
• Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis.
• History of multidisciplinary creativity and innovation around performance in multiple problem domains.

Base Salary and Benefits:

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000USD – $241,500USD for Level3, and $184,000USD – $287,500USD for Level4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May2,2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.