NVIDIA Lead Engineer (Remote)

GSK Solutions; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

GSK Solutions Inc. seeks an NVIDIA Lead Engineer for a remote US position, guiding AI and Digital Twin initiatives across manufacturing and industrial automation. You will architect and deploy NVIDIA-based solutions, mentor engineers, and drive PoCs, pilots, and large-scale deployments.

Responsibilities include leading AI/ML, computer vision, and robotics development, integrating with SAP/MES/IoT/SCADA, and shaping governance and technical direction across projects.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or related field.
• 8+ years of software engineering/solution architecture experience.
• 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.

Responsibilities

• Lead the design and implementation of AI, Physical AI, Robotics, Computer Vision, and Digital Twin solutions using the NVIDIA technology ecosystem.
• Architect and deploy solutions leveraging NVIDIA Omniverse, Isaac Sim, Metropolis, Jetson, CUDA, and AI Enterprise.
• Lead development of Physical AI, robotics, and computer vision applications.
• Design Digital Twin and simulation environments for industrial operations.
• Integrate AI solutions with enterprise and manufacturing systems (SAP, MES, IoT, SCADA).
• Provide technical leadership, solution governance, and mentorship to engineering teams.
• Support customer engagements, PoCs, pilots, and enterprise-scale deployments.

Skills

AI/ML

Computer Vision

Python

C++

Docker

Kubernetes

Manufacturing / Industry 4.0

Education

Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or related field

Tools

NVIDIA Omniverse

Isaac Sim

DeepStream

TensorRT

CUDA

Azure

AWS Cloud

Job description

Job Title

NVIDIA Lead Engineer (Remote)

Location

TX/Remote

Duration

5 months

Interview Type

Virtual

Note

Anywhere in US; preference to Pennsylvania or Texas

Description

Lead the design and implementation of AI, Physical AI, Robotics, Computer Vision, and Digital Twin solutions using the NVIDIA technology ecosystem. Drive innovation initiatives across manufacturing, industrial automation, and smart factory programs.

Architect and deploy solutions leveraging NVIDIA Omniverse, Isaac Sim, Metropolis, Jetson, CUDA, and AI Enterprise.

Lead development of Physical AI, robotics, and computer vision applications.

Design Digital Twin and simulation environments for industrial operations.

Integrate AI solutions with enterprise and manufacturing systems (SAP, MES, IoT, SCADA).

Provide technical leadership, solution governance, and mentorship to engineering teams.

Support customer engagements, PoCs, pilots, and enterprise-scale deployments.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or related field.
• 8+ years of software engineering/solution architecture experience.
• 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 Skills:

• NVIDIA Omniverse, Isaac Sim, DeepStream, TensorRT, CUDA
• Generative AI, LLMs, Digital Twins, Physical AI
• Azure/AWS Cloud Platforms
• Industrial IoT and Edge Computing

Top Skills

Software engineering/solution architecture

8 Yr's

NVIDIA AI platforms

2 Yr's