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NVIDIA Lead Engineer; Remote

Remote / Online - Candidates ideally in
Chicago, Cook County, Illinois, 60601, USA
Listing for: GSK Solutions
Full Time, Remote/Work from Home position Listed on 2026-11-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR

Job Description & How to Apply Below

Position: NVIDIA Lead Engineer (Remote)
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, Deep Stream, 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

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