NVIDIA Logo

NVIDIA

Senior Software Engineer, PyTorch - Deep Learning

Posted 3 Hours Ago
Be an Early Applicant
In-Office or Remote
3 Locations
184K-357K Annually
Senior level
In-Office or Remote
3 Locations
184K-357K Annually
Senior level
Design and build scalable PyTorch components for supercomputers (thousands to 100ks GPUs), collaborate with hardware and software teams to improve GPU performance, support production AI solutions for enterprise customers, and work with researchers to enhance AI tooling.
The summary above was generated by AI

We are now looking for a Senior Deep Learning Software Engineer, PyTorch.

NVIDIA is hiring software engineers to design and build tools used by AI engineers across the world to design, develop, and deploy AI applications scalable across thousands of GPUs. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform as well as directly contributes to PyTorch, a premiere deep learning framework. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate internationally with the PyTorch community to develop the best AI platform in the world.

What you will be doing:

  • Design and build PyTorch components that run efficiently on supercomputers with 1000s-100ks of GPUs.

  • Collaborate with NVIDIA’s hardware and software teams to improve the overall GPU performance in PyTorch.

  • Design, build and support production AI solutions used by enterprise customers and partners.

  • Work with internal applied researchers to improve their AI tools.

What we need to see:

  • BS in Computer Science or Engineering (or equivalent experience).

  • 3+ years professional experience in deep learning.

  • Proficient with C++ programming.

  • Strong understanding of systems software and interfaces.

  • Demonstrated experience with Thread and Distributed Parallel Programming

  • Demonstrated background developing large software projects.

  • Strong verbal and written communication skills

Ways to stand out from the crowd:

  • Contributions and participation in the open source community.

  • Familiarity with deep learning compilers.

  • Familiarity with deep learning modeling trends.

  • Background with CUDA Programming as well as Python.

  • Demonstrated experience working with multi-disciplinary teams.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, with a passion to impact AI development worldwide, we want to hear from you.

#LI-Hybrid 

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 July 7, 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.

#deeplearning

Similar Jobs

6 Hours Ago
Remote or Hybrid
155K-272K Annually
Senior level
155K-272K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Designs and delivers onboarding for global enterprise sellers via the Sales Academy. Facilitates training, coaches sellers, reinforces sales methodology and AI-native tools, mentors trainers, leverages data/AI to personalize learning, manages learner progression and readiness reporting, and partners with GTM teams to align launch and readiness across time zones.
Top Skills: Ai ToolsDynamicsIntrepidLms PlatformsMicrosoftMicrosoft TeamsSalesforceSeismicZoom
6 Hours Ago
Remote or Hybrid
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, deploy, and operate high-scale, multi-tenant Kubernetes services. Write clean, testable code, collaborate with product owners, integrate AI tools, mentor engineers, and improve performance, observability, and data processing pipelines.
Top Skills: Build ToolsClaudecodeDebuggerDevinFlinkGoIdeJavaKafkaKubernetesMicroservicesMulti-Tenant ArchitectureObservability StackProfilersServicenowSource Control (Git)Unix
6 Hours Ago
Remote or Hybrid
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and build AI-native, agentic-first features for ITSM/ITOM products. Design scalable distributed systems, prototype solutions, validate via experiments, establish architecture patterns, mentor engineers, and drive cross-team adoption to realize customer value in automation, observability, and data-driven workflows.
Top Skills: Agentic SystemsAIAiopsCloud InfrastructureCmdbIntegration FrameworksJavaObservabilityPythonService MappingServicenow PlatformWorkflow Automation

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account