NVIDIA Logo

NVIDIA

Senior System Software Engineer - Neural Graphics SDKs

Reposted 15 Days Ago
Be an Early Applicant
In-Office
Redmond, WA, USA
184K-357K Annually
Senior level
In-Office
Redmond, WA, USA
184K-357K Annually
Senior level
Develop and maintain software for neural graphics SDKs, focusing on architecture, validation, and usability. Work with community-driven open source projects.
The summary above was generated by AI

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.

Do you obsess about software engineering? So do we! We are looking for a strong System Engineer to develop and maintain NVIDIA's software ecosystem for neural graphics, including key OSS platforms like GSplat. Your software will serve a booming community of developers eager 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 SDKs, APIs, libraries for Neural Reconstruction, including key Open Source projects like GSplat.

  • Influence software architecture, validation strategy and technical roadmaps to ensure outstanding usability for our developers across many fields, from research to large-scale production use.

What we need to see:

  • Master's of Science in Computer Science or Electrical engineering or equivalent experience.

  • 5+ years of practical experience.

  • Track record developing and maintaining developer-focused, production-grade software for computer graphics or computer vision (for instance 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).

  • Excellent written, visual, and verbal communication to present architectural challenges, tradeoffs, and alternatives.

  • Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:

  • 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.

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 2, 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.

HQ

NVIDIA Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

Similar Jobs

2 Hours Ago
Hybrid
Seattle, WA, USA
99K-232K Annually
Mid level
99K-232K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead supply chain strategy and warehouse automation projects for clients, optimizing logistics, distribution, and inventory. Analyze supply chain data, design integrated business planning solutions, manage budgets, and recommend transformation initiatives. Coach and mentor teams, oversee client relationships, and drive process improvements to enhance operational efficiency and profitability.
2 Hours Ago
Hybrid
Seattle, WA, USA
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Advise clients on supply chain strategy and execution, focusing on logistics, inventory, procurement, warehouse automation, and connected operations. Analyze complex business issues, implement supply chain management solutions, mentor junior staff, and drive operational improvements to enhance performance and profitability.
2 Hours Ago
Hybrid
Seattle, WA, USA
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead procurement strategy and strategic sourcing engagements to identify cost savings, improve supplier relationships, and implement digital procurement solutions. Conduct spend analysis, manage complex sourcing projects, oversee contract negotiation and compliance, mentor junior staff, and advise clients on procurement process improvements and supplier resilience.
Top Skills: CoupaSap Ariba

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account