Senior Libraries Engineer - AI and HPC

NVIDIA Ltd.
Santa Clara, CA, United States
8 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$221,250.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computing Platforms JIRA C++ (Programming Language) Profiling Nvidia CUDA Computer Programming Continuous Integration Software Debugging Integrated Library Systems Python (Programming Language) Performance Tuning
+2 more
Software Engineering Information Technology

Job description

  • Developing scalable library software using modern tools and languages for various numerical method.
  • Performance tuning, optimization, and benchmarking of algorithms on various architectures.
  • Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
  • Providing technical leadership and guidance to library engineers working with you.
  • Find opportunities to improve user experience and library performance.

Requirements

  • PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).
  • 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA.
  • C/C++ programming and software development skills.
  • Proven experience in leading and completing software development projects.
  • Strong collaboration, communication, and documentation habits.

Ways To Stand Out From The Crowd

  • Good knowledge of CPU and/or GPU hardware architecture,
  • Experience with software development practices such as CI/CD systems and project management tools such as JIRA,
  • Experience with working in a distributed organization,
  • Debugging, profiling, and testing skills for accuracy and performance,
  • Fluency with Python.

Benefits & conditions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4. , , JR2006812

About the company

Join our multidisciplinary team and help build and improve GPU and CPU accelerated data processing software libraries. Projects like DALI or nvImageCodec are used in all kinds of processing workflows and support NVIDIA’s vision and growth.

Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you!, 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, we want to hear from you!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:37 min

Accelerating compute with focused developer tools

Julia Koch Julia Koch +1 · World Congress 2026 Europe

6:21 min

Previewing upcoming hardware acceleration capabilities for Python environments

Chris Heilmann +2 · LIVE

47 sec

Profiling native execution calls with async-profiler

Gonzalo Ortiz Jaureguizar Gonzalo Ortiz Jaureguizar · World Congress 2026 Europe

3:05 min

Integrating an assistant application with Jira software

Felix Augenstein · LIVE

2:33 min

Architecting CUDA and the AI software stack

Michael Kagan Michael Kagan +1 · World Congress 2026 Europe

3:30 min

Transitioning from CUDA software architect to user

Stephen Jones · Coffee With Developers

Videos

See all

Related articles

See all