AI Engineer Tech Lead - Sports Vertical
Key Responsibilities
- Develop and deploy computer vision models for real-time video analytics use cases
- Build GPU-optimized inference pipelines using NVIDIA DeepStream 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
- Bachelor's Degree in Computer Science or related field
- 8+ years of AI/ML development experience
- Strong Python programming expertise
- Hands-on experience with: PyTorch or TensorFlow
- NVIDIA CUDA
- NVIDIA DeepStream
- NVIDIA 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
Pay
The base salary range budgeted for this position is $125,000 to $147,000. Individuals may also be considered for bonuses and/or commissions.
Schedule
In compliance with Colorado's EPEWA, the expected Application Deadline 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!
Benefits
Lenovo’s various benefits can be found at www.lenovobenefits.com.
About the Role
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.