Robert Half · 4 weeks ago
IoT AI Edge Data Engineer - HiTech AI SaaS Company Direct Hire FTE Position
Robert Half is a fast-growing, innovative SaaS company seeking an experienced IoT Edge AI Data Engineer to architect and build next-generation edge-to-cloud data pipelines. The role involves working with cutting-edge hardware and developing solutions that transform raw sensor data into ML-ready streams and data pipelines.
Responsibilities
Design and implement high-performance data ingestion pipelines for IoT systems, from device through on-premises infrastructure to cloud platforms
Develop edge computing solutions leveraging platforms like NVIDIA Jetson for near-real-time data processing, orchestration, and distribution
Build robust frameworks to clean, validate, and prepare sensor, telemetry, and machine data for downstream ML engineering teams
Architect and software engineer, infrastructure for reliable edge-to-cloud connectivity and data workflows
Looking for experience: using technologies such as MQTT, Kinesis, and related telemetry protocols
You MUST HAVE on prem hardware device experience: Optimize on-prem and distributed data flows for scalable, resilient performance
Qualification
Required
Data cleansing, data ingestion, and data engineering dealing with disparate complex data sources and getting data OFF OF Edge devices!!!
3–4+ years of data engineering experience—ideally designing and deploying device-to-cloud pipelines for IoT/edge environments
Hands-on experience with edge hardware (e.g., NVIDIA Jetson) and low-level data processing
Proficient in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka, etc.)
MUST HAVE SKILLS: MQTT, Telemetry, Sensor Data, Data Pipeline, Edge Computing, On-Prem, Device to Cloud, Data Orchestration
Strong software engineering skills: Python, C++, or similar
Deep knowledge of sensor/telemetry data and proven capability in building scalable data infrastructure for ML/AI use cases
Experience with on-premises distributed systems and cloud integration. End to end data solutions
Comfortable in a fast-paced, product-driven startup environment
Preferred
Prior work with edge AI or industrial IoT, developing robust real-time data pipelines
Experience preparing and optimizing data for machine learning and advanced analytics
Exposure to hardware/software integration in distributed, production-grade environments
Company
Robert Half
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H1B Sponsorship
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2024 (1)
2023 (31)
2022 (32)
2021 (18)
2020 (22)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Recent News
EIN Presswire
2025-04-14
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