Upvanta sp. z o.o.
2 months ago
NVIDIA Edge AI Real-Time Data Specialist
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Company information
- Company
- Upvanta sp. z o.o.
- Location
- Polska, małopolskie, Kraków Poland
- Posted
- 2 months ago
Job description
Scope of responsibilities Designing and building data and AI pipelines processing real-time data Creating and optimizing GPU solutions (video analytics, telemetry, CV, streaming inference) Integrating edge AI solutions with data platforms (cloud / enterprise systems) Deploying AI models into production (edge inferencing, real-time decisioning) Building edge-to-cloud architectures Working on systems covering video, sensors, telemetry, and simulations Optimizing GPU workload performance and scalability Implementing standards and patterns for production real-time AI systems Collaborating with data engineering, AI, and architecture teams Evaluating tools and technologies in the NVIDIA ecosystem Requirements (must-have) Experience with NVIDIA technologies and GPU computing (e.g., CUDA, TensorRT, DeepStream) Practical experience in Edge AI / real-time inference / streaming AI Experience with computer vision, sensor data processing, or telemetry Ability to design edge-to-cloud architectures Experience deploying AI models into production environments Knowledge of patterns for real-time and event-driven systems Ability to integrate AI with data platforms and operating systems Good knowledge of data engineering and streaming pipelines (e.g., Kafka, Flink, Spark) Experience in teamwork (data + infra + AI) Nice to have Experience in the area of: robotics / physical AI autonomous systems smart infrastructure industrial AI Knowledge of digital twins and simulation systems Experience with video analytics and high-throughput systems Practical experience in MLOps / platform engineering / edge operations Experience with heterogeneous environments (cameras, IoT, sensors)
Required skills
- kafka
- teamwork
- cloud
- spark
- iot
- architecture
- sensors
- data engineering
- operating systems
- telemetry
- robotics
- digital twins
- computer vision
- mlops
- platform engineering
- simulations
- production deployment
- flink
- event-driven systems
- enterprise systems
- cuda
- nvidia
- ai models
- data platforms
- gpu
- ai systems
- autonomous systems
- streaming pipelines
- gpu workloads
- tensorrt
- simulation systems
- deepstream
- real-time data
- physical ai
- industrial ai
- sensor data
- edge ai
- video analytics
- ai pipelines
- real-time inference
- smart infrastructure
- real-time decisioning
- streaming inference
- high-throughput systems
- edge ai solutions
- edge inferencing
- edge-to-cloud architectures
- streaming ai
- edge operations
- heterogeneous environments
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