Nvidia Application Engineer - HPC AI Edge 

United States, California 

833197942

The factory of the future is rapidly emerging as an AI-enabled, autonomous manufacturing environment where real-time artificial intelligence transforms production capabilities. Advanced manufacturing facilities will leverage GPU-accelerated computing for critical applications including real-time defect detection, predictive maintenance, and intelligent process optimization. These AI-powered systems can identify defects as small as nanometers in milliseconds, spectacularly improving quality control while reducing waste and downtime. NVIDIA Holoscan is a domain-agnostic AI computing platform specifically designed for building GPU-accelerated applications that bring supercomputing capabilities directly to manufacturing sensors and processing equipment. Holoscan enables real-time sensor processing pipelines that can analyze high-speed production data, perform instant quality assessments, and trigger immediate corrective actions—all while maintaining the ultra-low latency requirements critical for modern manufacturing processes

What you’ll be doing:

• Work directly with customers or developers on porting manufacturing algorithms and sensor processing applications to Holoscan

• Profile applications and run benchmarks to demonstrate GPU acceleration value in production environments

• Build examples and sample applications for manufacturing tutorials

• Collaborate with domain experts on whitepapers and with marketing on blog posts

• Participate and present in workshops, trade shows, and industry conferences

What we need to see:

• 5+ years in building real-time sensor processing applications with a strong technical focus in a particular domain (scientific computing, instrumentation, test & measurement, defense)

• A bachelor’s degree in electrical engineering, computer science, or equivalent experience

• Proficiency in Python and C/C++

• Proven experience building AI algorithms for manufacturing applications (defect detection, process optimization, or quality control systems) using PyTorch, TensorFlow, or similar frameworks

• Familiarity with scientific computing tools like MATLAB, LabView, and SciPy

• Spectacular written, verbal, and visual communication skills with an entrepreneurial spirit

Ways to stand out from the crowd:

• Master’s degree in electrical engineering, computer science, or equivalent experience

• Hands-on background in building GPU-based real-time applications including handling high bandwidth and low-latency I/O

• Hands-on experience building real time Digital Twins or advanced Simulation tools

• Familiarity with Slurm or Kubernetes

• Contributions to open-source software projects