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AI Engineer Tech Lead - Sports Vertical

Job in Concord, Cabarrus County, North Carolina, 28027, USA
Listing for: Lenovo
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 147000 USD Yearly USD 125000.00 147000.00 YEAR
Job Description & How to Apply Below

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US $69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services.

Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our Story Hub.

Role Overview

Lenovo’s Sports Vertical is seeking an AI Developer to design, build, and deploy NVIDIA-accelerated AI solutions for intelligent venue environments. This role focuses on hands‑on development of real‑time computer vision systems, GPU‑optimized inference pipelines, digital twin integrations, and generative AI applications supporting command centers and immersive fan experiences.

The ideal candidate has strong experience working with NVIDIA AI frameworks and production‑grade AI deployments in high‑performance environments.

Key Responsibilities
  • Develop and deploy computer vision models for real‑time video analytics use cases
  • Build GPU‑optimized inference pipelines using NVIDIA Deep Stream and TensorRT
  • Implement and customize NVIDIA Blueprints into production workflows
  • Integrate NVIDIA Video Search and Summarization (VSS) capabilities into AI platforms
  • Optimize AI models for performance on NVIDIA GPUs using CUDA acceleration
  • Support digital twin and simulation workflows leveraging NVIDIA Omniverse
  • Implement real‑time avatar and digital human pipelines using NVIDIA ACE and related technologies
  • Develop multimodal AI systems combining vision, speech, and generative AI
  • Deploy AI workloads to edge infrastructure and integrate with operational dashboards
  • Ensure low‑latency, high‑availability performance in live operational environments
Required Qualifications
  • Bachelors Degree in Computer Science or related field
  • 8+ years of AI/ML development experience
  • Strong Python programming expertise
  • Hands‑on experience with:
  • PyTorch or Tensor Flow
  • NVIDIA CUDA
  • NVIDIA Deep Stream
  • TensorRT
  • NVIDIA Blueprints
  • Experience building real‑time video stream processing pipelines
  • Experience deploying AI workloads in containerized environments (Docker, Kubernetes)
  • Strong understanding of GPU performance optimization
Preferred Qualifications
  • Experience with NVIDIA AI Enterprise
  • Experience with NVIDIA Video Search and Summarization (VSS)
  • Experience with NVIDIA Omniverse
  • Experience with NVIDIA ACE (Avatar Cloud Engine)
  • Experience developing multimodal or generative AI applications
  • Experience in sports venues, smart infrastructure, or real‑time operational environments

The base salary range budgeted for this position is $125,000 to $147,000. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at

In compliance with Colorado's EPEWA, the expected Final date to receive applications for this position is 6/15/2026 – this applies to both internal and external candidates.

This role offers the flexibility to be home‑based anywhere in the United States. If you're near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office—great for collaboration and connection!

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

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