Lead Engineer NVIDIA AI, Robotics Fully Remote
candidates based in Pennsylvania or Texas
- Requisition No: R1012888.0
Role Summary
We are looking for a Lead Engineer to drive innovation initiatives across manufacturing, industrial automation, and smart factory programs. You will lead the design and implementation of AI, Physical AI, Robotics, Computer Vision, and Digital Twin solutions leveraging the NVIDIA technology ecosystem.
Key Responsibilities & Deliverables
- Architecture & Deployment: Architect and deploy solutions leveraging NVIDIA Omniverse, Isaac Sim, Metropolis, Jetson, CUDA, and AI Enterprise.
- Development: Lead the development of Physical AI, robotics, and computer vision applications.
- Simulation: Design Digital Twin and simulation environments for industrial operations.
- Integration: Integrate AI solutions with enterprise and manufacturing systems (SAP, MES, IoT, SCADA).
- Leadership: Provide technical leadership, solution governance, and mentorship to engineering teams; support customer engagements, PoCs, pilots, and enterprise-scale deployments.
Requirements & Qualifications
- Education: Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or a related field.
- Experience: 8+ years of software engineering/solution architecture experience.
- Technical Skills:
- Hands-on experience with NVIDIA AI platforms and GPU-accelerated computing.
- Strong knowledge of AI/ML, Computer Vision, Python, C++, Docker, and Kubernetes.
- Experience in manufacturing, industrial automation, or Industry 4.0 environments preferred.
- Preferred Technologies: NVIDIA Omniverse, Isaac Sim, DeepStream, TensorRT, CUDA, Generative AI, LLMs, Digital Twins, Physical AI, Azure/AWS Cloud Platforms, Industrial IoT, and Edge Computing.
Custom Skills
- Software engineering/solution architecture
- NVIDIA AI platforms
Candidate Qualifying Questions
(Note: Answering "Yes" to both questions is mandatory to qualify for this position.)
- Do you have at least 8+ years of software engineering/solution architecture experience?
- Do you have a Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or a related field?