Technical Specialist - Embedded Data Engineering

Job Title – Technical Specialist – Embedded Data Engineering

Preferred Location - Hyderabad, India

Full time/Part Time - Full Time

Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

Summary:

We are seeking an Embedded Data Engineering expert, who will be a key contributor and hand-on in the software/firmware development and implementation for the QLIQ – Quantum Leap Intelligent Quadrant solution, working with global experts and system architects. This position will focus on new development of firmware as well as enhancement of existing applications. This position requires the ability to work under minimal direction, Partner with: Systems Integration Engineers, Controls Engineers, AI/ML teams, Modeling & simulation teams, Backend/platform teams.

Key Responsibilities:

Edge Data Acquisition & Protocol Integration (Primary Focus)

• Architect, Design and implement robust edge data ingestion pipelines to acquire telemetry and control data from all equipment’s and systems using BACnet (IP/Serial), Modbus, and data‑center‑specific protocols.

• Develop edge agents capable of running in air-gapped, on-prem-only environments

• Integrate data streams from controls platforms, field devices, and supervisory systems, ensuring deterministic, reliable, and secure data access at the edge.

• Normalize and contextualize incoming data using semantic models and ontologies (e.g., Brick Schema, Project Haystack).

• Ensure ingestion layer meets KPIs: Low latency, High throughput, Fault tolerance

Embedded Data Storage & Pre‑Processing

• Architect and implement local edge storage solutions, including hot and cold data tiers, optimized for performance, retention, and reliability.

• Design data models and pipelines for time‑series data, events, and metadata suitable for analytics, controls, and digital twin consumption.

• Implement data preprocessing, filtering, aggregation, feature extraction, and quality checks at the edge to support downstream analytics and models.

Platform Architecture & Orchestration

• Design a layered edge platform architecture that cleanly separates data ingestion, storage, preprocessing, analytics, and application layers. Build and manage containerized workloads (e.g., Docker‑based) and orchestration at the edge.

• Define mechanisms to schedule, invoke, and manage digital twin executions

Analytics, Digital Twin & Controls Integration

• Enable analytics algorithms and digital twins to consume edge data through well‑defined APIs and data services.

• Collaborate with digital twin and controls teams to ensure data pipelines and platform services meet MIL/SIL/HIL and operational simulation requirements.

• Support deployment and optimization of AI/ML algorithms on edge hardware

Basic Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or a related field.

• 12+ years of experience in embedded systems, edge platforms, or data/analytics engineering.

Preferred Qualifications

• Strong experience designing embedded or edge data platforms, including ingestion, storage, and analytics pipelines.

• Hands‑on expertise with industrial and building automation protocols (BACnet, Modbus, and related field protocols).

• Familiarity with: Edge orchestration frameworks (K3s, Balena, Azure IoT Edge, AWS Greengrass), Time-series databases (InfluxDB, Timescale, Prometheus, QuestDB), Digital twin data models or graph schemas

• Background in secure-by-design industrial deployments

• Experience with real-time event stream processing

• Prior experience implementing data validation, anomaly detection, and QC at the edge

• Experience with hot/cold data storage architectures, time‑series databases, and embedded data persistence.

• Solid understanding of semantic data models and ontologies, such as Brick Schema and Project Haystack.

• Proficiency in Python, C/C++, and JavaScript, with experience building web‑based configuration or visualization interfaces.

• Experience with containerization and orchestration for edge deployments.

• Familiarity with controls systems integration and real‑time data constraints.

• Experience integrating AI/ML workloads at the edge, including performance tuning and accelerator (NPU) usage.

• Familiarity with Carrier ecosystems (WebCTRL, PIC, Nlyte, chillers/CDUs/CRAHs)

Benefits:

• We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

• Have peace of mind and body with our health insurance

• Make yourself a priority with flexible schedules and leave Policy

• Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.

Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now !

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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