NVIDIA is looking to accelerate the adoption of its Holoscan platform in the manufacturing industry, enabling AI-enabled, autonomous manufacturing environments with real-time AI for improved quality control, reduced waste, and minimized downtime.
Requirements
- 5+ years in building real-time sensor processing applications with a strong technical focus in a particular domain (scientific computing, instrumentation, test & measurement, defense)
- 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
- 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
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
Other
- A bachelor’s degree in electrical engineering, computer science, or equivalent experience
- Spectacular written, verbal, and visual communication skills with an entrepreneurial spirit
- Master’s degree in electrical engineering, computer science, or equivalent experience
- Contributions to open-source software projects
- If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
