NVIDIA Logo

NVIDIA

Senior AI Frameworks Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Austin, TX, USA
152K-288K Annually
Senior level
In-Office
Austin, TX, USA
152K-288K Annually
Senior level
Develop Pythonic CUTLASS DSL infrastructure and APIs for high-performance GPU programming. Build AST transformations, JIT compilation, debugging and profiling tools, validation systems, package distribution, documentation, and testing. Collaborate on open-source framework development while optimizing developer experience and GPU kernel delivery.
The summary above was generated by AI

We are now looking for a Senior AI Frameworks Engineer (C++/Python)! NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance math primitives. Since 2017, it has provided the community with C++ template abstractions to implement custom GEMM and related computations efficiently on NVIDIA GPUs.

We are building the next frontier of this ecosystem: Pythonic CUTLASS (CUTLASS DSL). This initiative aims to bring "speed-of-light" performance and powerful abstractions of our stack directly into the Python environment. Join the CUTLASS team and help bridge the gap between low-level hardware primitives and high-level developer productivity. If you are passionate about building elegant, high-performance DSLs and want to empower the next generation of AI researchers and engineers with better tools, apply today!

What you'll be doing:

As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.

  • Design APIs that prioritize user productivity, providing a "native" feel for developers accustomed to modern scientific computing and deep learning frameworks.

  • Develop robust compilation infrastructure—including AST transformations and JIT-friendly execution—to lower Pythonic descriptions into high-performance GPU machine code.

  • Optimize developer experience by creating debugging tools, profiler integrations, and validation methodologies that make writing and using kernels easy.

  • Build production-grade delivery infrastructure for the open-source community, managing everything from package distribution (wheels, conda) to the user-facing documentation and testing.

What we need to see:

  • MS or PhD degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).

  • At least 3+ years of relevant experience.

  • Strong proficiency in Python and C++, specifically regarding the design of Python extensions and foreign function interfaces (FFI).

  • Experience in library or framework development, with a focus on creating intuitive APIs for complex technical systems.

  • Deep understanding of the Python ecosystem’s delivery stack, including building, testing, and distributing high-performance compiled extensions.

Ways to stand out from the crowd:

  • Active maintainer status or significant contributions to high-performance open-source libraries, AI frameworks or compiler projects (LLVM/MLIR).

  • Understanding of compiler foundations, such as intermediate representations (IR), lowering passes, or AST manipulation.

  • Experience with GPU Architecture and parallel programming models (CUDA).

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. If you're creative and autonomous engineer, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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.

Applications for this job will be accepted at least until November 3, 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 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.

NVIDIA Austin, Texas, USA Office

Austin, United States

Similar Jobs

11 Days Ago
In-Office or Remote
United States
120K-304K Annually
Senior level
120K-304K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Build and operate production-quality AI framework, runtime, benchmarking, performance, automation, observability, and developer-tooling systems. Optimize large language model training and inference across GPUs and Microsoft hardware, diagnose cross-stack reliability and performance issues, and improve model onboarding, hardware utilization, Azure efficiency, and deployment speed. Senior engineers own major components and projects; Principal engineers define technical direction, architecture, and multi-release strategy while leading cross-team initiatives and mentoring technical leaders.
Top Skills: Amd GpusAzureC++CudaNvidia GpusOnnx RuntimePythonPyTorchRocmTensorFlowTriton
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
100K-166K Annually
Senior level
100K-166K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customer implementations of Samsara’s IoT platform, from deployment planning through adoption and value realization. Build launch roadmaps, track implementation and account health, train executives and end users, resolve challenges, and coordinate with Sales, Support, Sales Engineering, Product, and other teams. Mentor Customer Success and Support colleagues while managing multiple customer engagements and strengthening long-term customer relationships.
Top Skills: Enterprise SoftwareIotSaaS
Yesterday
Easy Apply
Remote or Hybrid
TX, USA
Easy Apply
109K-145K Annually
Mid level
109K-145K Annually
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Sales Engineer will modernize essential industries by promoting IoT solutions, support customers through technical assessments, and facilitate hardware installations, enhancing supply chain efficiency and safety.
Top Skills: AIAutomation And Control SystemsBashBusiness Systems IntegrationCloud SoftwareCloud-Connected HardwareComputer NetworkingElectronicsIotJavaScriptPython

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account