Senior Data Scientist

Position: Senior Data Scientist

Location: Fully Remote

Duration: 12+ Month Contract

Need overall 10+ years of experience:

We are seeking an NVIDIA Edge AI / Real-Time Data Specialist to design and implement accelerated data and AI pipelines for emerging technology use cases involving real-time processing, edge analytics, video, sensor telemetry, simulation, and operational intelligence.

This role will help connect NVIDIA-enabled capabilities with the broader data platform, supporting advanced use cases across areas such as physical AI, intelligent systems, robotics, digital twins, computer vision, autonomous operations, and high-performance AI-enabled workflows.

The ideal candidate combines hands-on experience with NVIDIA technologies and accelerated computing with a strong understanding of real-time data engineering, edge/cloud architectures, and production deployment patterns.

Key Responsibilities

·        Design and implement real-time data and AI pipelines for emerging technology and operational use cases

·        Build and optimize GPU-enabled workflows for video, telemetry, computer vision, simulation, and streaming inference

·        Integrate edge AI deployments with broader enterprise or product data platforms

·        Support deployment patterns for edge inferencing, model serving, event-driven processing, and real-time decision support

·        Collaborate with data engineering and architecture teams to ensure AI and edge pipelines align with enterprise data models and control requirements

·        Contribute to use cases involving physical AI, robotics, intelligent environments, digital twins, infrastructure monitoring, and operational intelligence

·        Optimize performance, scalability, and reliability of accelerated workloads

·        Help define reusable platform patterns for production-grade real-time AI

·        Work with internal engineering teams and ecosystem partners to support deployment and operationalization

·        Support evaluation of tools, frameworks, and architectures relevant to NVIDIA-powered solutions

Required Qualifications

·        Minimum 5 years’ experience; experience in AI/ML and python coder.

·        LLM experience and prompting

·        Strong experience with NVIDIA ecosystem technologies and GPU-accelerated computing

·        Experience with edge AI, real-time inference, or streaming AI workloads

·        Strong understanding of computer vision, sensor data processing, simulation, or telemetry-driven AI pipelines

·        Experience designing and deploying edge-to-cloud architectures

·        Experience integrating AI workflows into broader data platforms and operational systems

·        Hands-on engineering capability across model deployment, runtime optimization, and data pipeline integration

·        Strong knowledge of production deployment patterns for real-time AI systems

·        Ability to work across data, infrastructure, and AI teams

Preferred Qualifications

·        Experience in physical AI, industrial AI, robotics, smart infrastructure, autonomous systems, or other frontier technology environments

·        Familiarity with digital twins, simulation platforms, or operational technology ecosystems

·        Experience with video analytics, event processing, and high-throughput real-time pipelines

·        Experience with MLOps, AI platform engineering, or edge operations at scale

·        Experience working with heterogeneous sensor, device, or camera environments

Ideal Candidate Profile

·        Deep technical specialist with practical delivery orientation

·        Comfortable in edge, real-time, and operational environments

·        Strong problem solver who can bridge AI, infrastructure, and data engineering

·        Able to translate emerging technology into deployable solutions

·        Comfortable working in multidisciplinary, fast-moving innovation programs