Lead Engineer – NVIDIA AI, Robotics

Veridian Tech Solutions, Inc.; Dallas (TX); Remote; USD 140,000 - 200,000; Full time

Job summary

Veridian Tech Solutions, Inc. is seeking a Lead Engineer to drive NVIDIA AI, robotics, and digital twin initiatives across manufacturing and smart factory programs.

You will lead design and deployment of AI, physical AI, and computer vision solutions within the NVIDIA ecosystem. Responsibilities include architecture, development, and integration with enterprise systems, plus technical leadership and customer engagements.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or a 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 or Industry 4.0 environments preferred.

Responsibilities

• Architecture & Deployment: Architect and deploy NVIDIA-based solutions.
• Development: Lead the development of AI, robotics, and computer vision apps.
• Simulation: Design Digital Twin and simulation environments for industrial ops.
• Integration: Integrate AI with SAP, MES, IoT, SCADA systems.
• Leadership: Provide technical leadership and mentorship to engineering teams.

Skills

AI/ML

Computer Vision

Python

C++

GPU-Accelerated Computing

Education

Bachelor's or Master's degree in CS/AI/Robotics/Engineering

Tools

NVIDIA Omniverse

Isaac Sim

CUDA

Docker

Kubernetes

Jetson

TensorRT

Azure/AWS

DeepStream

Digital Twins

Job description

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?
• [ ] Yes (Mandatory)
• Do you have a Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or a related field?