Ensense AI ยท 1 month ago
Founding Data Infrastructure Engineer
Ensense AI is building the next generation of Physical AI, aiming to bring transparency to public places through innovative sensing and software solutions. The founding data infrastructure engineer will design and construct systems for managing multimodal data, playing a crucial role in enabling real-time insights into the physical world.
Computer Software
Responsibilities
Architect and build data pipelines for large scale multimodal streams including video, audio, and sensor telemetry
Design and maintain high performance storage systems optimized for spatiotemporal retrieval
Build tools and services for ingestion, transformation, labeling, and quality control of physical world data
Develop internal data platforms that support analytics, model training, and real time intelligence
Collaborate closely with software, machine learning, and hardware teams to ensure seamless data flow from devices to cloud
Implement best practices that ensure reliability, scalability, and quality
Define long term data architecture and contribute to foundational engineering decisions
Qualification
Required
5+ years of professional experience working with large scale data systems
Strong proficiency with distributed systems and modern data infrastructure
Experience building large scale data pipelines using tools such as Kafka, Spark, Flink, Ray, or similar
Proven expertise of data modeling, storage systems, and performance optimization
Ability to design, operate and optimize cloud systems on AWS or GCP
Strong problem solving and comfort in fast paced environments
Clear and concise communication skills
Preferred
Experience working with high volume real world data such as autonomous vehicle datasets
Interest in Physical AI, smart infrastructure, or urban systems
Background in early stage startups or experience as an early technical hire
Experience with spatiotemporal indexing, geospatial data storage, or mapping frameworks
Company
Ensense AI
Ensense AI is building the operating system for the physical world.
Funding
Current Stage
Early StageCompany data provided by crunchbase