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AI Applications Specialist

2 months ago

Santa Clara, California, United States NVIDIA Full time

NVIDIA stands at the forefront of computer graphics, artificial intelligence, and accelerated computing, addressing some of the most intricate challenges in High-Performance Computing (HPC) and Scientific Computing. The transition of HPC and AI capabilities from centralized data centers to edge environments can revolutionize scientific research and discovery. With advancements in high-fidelity sensors, including particle accelerators and electron microscopes, there has been a remarkable surge in data generation, necessitating supercomputing-like capabilities in proximity to data sources.

NVIDIA Holoscan serves as a versatile AI computing platform designed for the development of GPU-accelerated applications tailored for computational instruments, ranging from microscopes to telescopes, facilitating real-time discoveries and insights. As an AI Applications Specialist, your primary focus will be on promoting the integration of Holoscan across diverse sectors and industries, collaborating closely with product teams and industry leaders to create AI-enhanced sensor processing applications. If you are passionate about developing real-time data processing solutions, integrating AI, and connecting them to advanced AI supercomputing resources, we would like to hear from you.

Key Responsibilities:

  • Engage directly with clients or developers to adapt or connect their applications to Holoscan.
  • Analyze application performance and conduct benchmarks to demonstrate the product's advantages.
  • Create examples or sample applications for instructional purposes.
  • Collaborate with subject matter experts on technical papers and work with marketing on promotional content.
  • Participate in and present at workshops.

Qualifications:

  • Over 5 years of experience in developing real-time sensor processing applications with a strong emphasis on a specific domain (scientific computing, instrumentation, test & measurement, defense).
  • A bachelor's degree in electrical engineering, computer science, or a related field.
  • Proficiency in programming languages such as Python and C/C++.
  • Demonstrated experience in creating AI inferencing applications utilizing frameworks like PyTorch or TensorFlow.
  • Familiarity with scientific computing tools, including MATLAB, LabView, or SciPy.
  • Exceptional written, verbal, and visual communication skills, coupled with an entrepreneurial mindset.

Preferred Qualifications:

  • A master's degree in electrical engineering, computer science, or a related field.
  • Practical experience in developing GPU-based real-time applications, particularly in managing high bandwidth and low-latency input/output.
  • Knowledge of orchestration tools such as Slurm or Kubernetes.
  • Contributions to open-source software initiatives.

NVIDIA offers competitive salaries and a comprehensive benefits package, making it one of the most sought-after employers in the technology sector. Our teams comprise some of the most innovative and dedicated professionals globally, and due to significant growth, our specialized engineering teams are expanding rapidly. If you are a creative and independent engineer with a genuine enthusiasm for technology, we encourage you to consider joining our team.

We are committed to creating a diverse workplace and are proud to be an equal opportunity employer. NVIDIA values diversity in our workforce and does not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.