Associate Vice President

Texas

>11 Years

USA

Job Family

Infrastructure-Delivery

No. of Positions

1

Job Description (Posting).

Key Responsibilities Define and lead the end-to-end technical architecture for vision-based AI systems across edge and cloud. Design and optimize large-scale video analytics pipelines using NVIDIA DeepStream, TensorRT, and Triton Inference Server. Architect distributed AI systems, including model training, deployment, inferencing, monitoring, and continuous learning. Collaborate with product, research, and engineering teams to translate business requirements into scalable AI solutions. Lead efforts in model optimization (quantization, pruning, distillation) for real-time performance on devices like Jetson Orin/Xavier. Drive the integration of multi-modal AI (vision + language, 3D, audio) where applicable. Guide platform choices (e.g., edge AI vs cloud AI trade-offs), ensuring cost-performance balance. Mentor senior engineers and promote best practices in MLOps, system reliability, and AI observability. Stay current with emerging technologies (e.g., NeRF, Diffusion Models, Vision Transformers, synthetic data). Contribute to internal innovation strategy, including IP generation, publications, and external presentations.________________________________________ Required Technical Skills Deep expertise in computer vision, deep learning, and multi-modal AI. Proven hands-on experience with: NVIDIA Jetson, DeepStream SDK, TensorRT, Triton Inference Server TAO Toolkit, Isaac SDK, CUDA, cuDNN Strong in PyTorch, TensorFlow, OpenCV, GStreamer, and GPU-accelerated pipelines. Experience deploying vision AI models at large scale (e.g., 1000+ cameras/devices or multi-GPU clusters). Skilled in cloud-native ML infrastructure: Docker, Kubernetes, CI/CD, MLflow, Seldon, Airflow Proficiency in Python, C++, CUDA (or PyCUDA), and scripting. Familiar with 3D vision, synthetic data pipelines, and generative models (e.g., SAM, NeRF, Diffusion).________________________________________ Soft Skills & Leadership 10+ years in AI/ML/Computer Vision, with 8+ years in technical leadership or architect roles Strong leadership skills with experience mentoring technical teams and driving innovation. Excellent communicator with the ability to engage stakeholders across engineering, product, and business. Strategic thinker with a practical mindset able to balance innovation with production-readiness. Experience interfacing with enterprise customers, researchers, and hardware partners.________________________________________ Preferred Qualifications MS or PhD in Computer Vision, Machine Learning, Robotics, or a related technical field Experience with NVIDIA Omniverse, Clara, or MONAI for healthcare or simulation environments. Experience in domains like smart cities, robotics, retail analytics, or medical imaging. Contributions to open-source projects or technical publications. Certifications: NVIDIA Jetson Developer, AWS/GCP AI/ML Certifications.

Qualification

B-Tech

Employee Group

Business Supp FT

City

Dallas

Entity

CSW

Auto req ID

1593437BR

Expected Date of Closure

17-Jun-2025

Pay Range Minimum

240000

Pay Range Maximum

320000

Skill (Primary)

Domain Competencies (ERS)-AR/MR Technologies-Computer Vision

Skill Level 3 (Secondary Skill 1)

Data Science-Artificial Intelligence-Machine learning

Skill Level 3 (Secondary Skill 2)

Technical Skills (ERS)-AI - GenAI-GenAI Development

Skill Level 3 (Secondary Skill 3)

Data Science-Artificial Intelligence-TensorFlow

Skill Level 3 (Secondary Skill 4)

Data Science-Artificial Intelligence-PyTorch