Application Engineer – HPC and AI, Edge

NVIDIA

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States

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💰 $124,000 - $230,000 per year

Mid-LevelSenior

KubernetesPythonPyTorchTensorflow

About the role

Focus on accelerating the adoption of Holoscan across manufacturing domains, working alongside product teams and pioneers in AI-accelerated manufacturing
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
Develop real-time data processing applications, infuse them with AI, and connect them to an AI supercomputer
Convert proofs-of-concept manufacturing algorithms into production-ready solutions

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
Master’s degree in electrical engineering, computer science, or equivalent experience (nice-to-have)
Hands-on background in building GPU-based real-time applications including handling high bandwidth and low-latency I/O (nice-to-have)
Hands-on experience building real time Digital Twins or advanced Simulation tools (nice-to-have)
Familiarity with Slurm or Kubernetes (nice-to-have)
Contributions to open-source software projects (nice-to-have)