Application Engineer - HPC and AI at the Edge

Details

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, 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 while maintaining the ultra-low latency requirements critical for modern manufacturing processes.

As an Applications Engineer, you will focus on accelerating the adoption of Holoscan across manufacturing domains, working alongside product teams and leading pioneers in building AI-accelerated manufacturing applications that define the future of intelligent production.

Responsibilities

• 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.

Requirements

• 5+ years building real-time sensor processing applications with a strong technical focus in a particular domain (scientific computing, instrumentation, test & measurement, defense).
• 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.
• Strong written, verbal, and visual communication skills and an entrepreneurial spirit.

Ways to stand out

• 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.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary ranges provided are:

• Level 3: 124,000 USD - 195,500 USD
• Level 4: 144,000 USD - 230,000 USD

You will also be eligible for equity and benefits. NVIDIA offers competitive salaries and a generous benefits package.

Additional information

• Locations listed: US, CA, and Remote (applicants can apply remotely).
• Applications for this job will be accepted at least until September 20, 2025.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.