[Remote] Edge AI Principal

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Note: The job is a remote job and is open to candidates in USA. HCLTech is looking for a highly talented and self-motivated Edge AI Principal to join it in advancing the technological world through innovation and creativity. The role involves leading the design, architecture, development, and scaled deployment of real-time AI and robotics solutions that operate at the edge, leveraging state-of-the-art technology across multiple industries.


Responsibilities

  • Lead the end-to-end design and architecture of edge AI solutions , combining robotics, computer vision, and AI inference deployed on heterogeneous edge devices
  • Architect hybrid AI workflows spanning edge, near-edge, and cloud environments , ensuring low-latency, high-reliability inference
  • Build scalable AI and robotics workflows supporting real-time decision-making and autonomy in complex environments
  • Develop architecture for multi-site, distributed deployments with integration into operational technology (OT) systems like SCADA, MES, and healthcare devices
  • Drive hybrid edge-to-cloud AI deployments optimizing latency, throughput, and cost
  • Lead the development and deployment of robot policies, task planning, and intelligent automation using AI techniques like reinforcement learning, hierarchical planning, and sensor fusion
  • Oversee computer vision model development for perception tasks such as object detection, tracking, quality inspection, and anomaly detection optimized for edge inference
  • Implement robotics simulation and real-world testing pipelines using platforms like NVIDIA Isaac Sim, Gazebo, or MuJoCo to validate policies and control algorithms
  • Optimize AI and robotics models for target edge hardware with pruning, quantization, and GPU acceleration (TensorRT, CUDA)
  • Utilize NVIDIA Jetson, IGX, EGX platforms and toolkits including NVIDIA Isaac, DeepStream, Metropolis, Holoscan, and the NGC software catalog for AI and robotics deployment
  • Integrate hyperscaler edge AI offerings : AWS IoT Greengrass, Lambda@Edge, SageMaker Edge Manager; Azure IoT Edge, Percept, Azure Stack HCI; GCP Vertex AI, TensorFlow Lite for seamless edge-cloud orchestration
  • Leverage OEM edge infrastructure from Dell NativeEdge and HPE Edgeline servers for ruggedized and scalable edge computing environments
  • Design patterns for edge networks, data aggregation, and processing. Familiarity with hardware accelerators (TPUs, GPUs, FPGAs) and embedded systems
  • Docker, Kubernetes for edge device orchestration
  • Knowledge of fog computing layers and the relationship with edge/cloud environments
  • Apache Kafka, Apache Flink, Apache Spark (for distributed data processing on the edge)
  • Architect secure, robust AI/robotics model lifecycle management for fleet-wide OTA updates, monitoring, automated rollback, and anomaly detection
  • Design and enforce edge security, privacy, and compliance strategies suitable for industrial, healthcare, and transportation domains
  • Collaborate with cross-functional teams including embedded, hardware, software, and data science to deliver end-to-end operational AI robotic solutions
  • Develop reusable IP including reference architectures, accelerators, APIs, and demo kits for common robotics and edge AI industrial use cases
  • Mentor technical teams on cutting-edge edge AI, robotics frameworks, simulation, deployment best practices, and compliance
  • Evangelize edge AI and robotics capabilities internally and externally through presentations, workshops, and collaboration with technology partners
  • Act as a trusted advisor to clients and stakeholders, translating business challenges into technically feasible edge AI and robotics solutions
  • Engage with NVIDIA, hyperscalers, OEMs, and ecosystem partners to stay current on emerging technologies and co-develop joint solutions

Skills

  • Experience in software, AI architecture or robotics engineering with leading edge AI and robotics deployments at scale across Manufacturing, Oil & Gas, Transportation, Healthcare, or related industries
  • Proven track record of designing, deploying, and scaling real-time AI and robotics systems on edge platforms (NVIDIA Jetson, IGX, EGX)
  • Hands-on experience with robotics middleware (e.g., ROS), simulation tools (Isaac Sim, Gazebo), and AI frameworks (TensorFlow, PyTorch)
  • Experience integrating edge AI solutions with industrial OT and healthcare systems
  • Proficiency with Python, C++, and ML/DL frameworks (TensorFlow, PyTorch)
  • Deep expertise in robotics: task & motion planning, policy learning, sensor fusion (camera, LiDAR, IMU), robot control & kinematics
  • Strong computer vision skills in model development for detection, classification, segmentation, and video analytics
  • Proficiency in CUDA, TensorRT, DeepStream for model optimization on GPUs
  • Familiarity with containerization (Docker), orchestration (Kubernetes), CI/CD pipelines tailored for edge deployments
  • Knowledge of edge security, privacy-preserving AI, and regulatory compliance (HIPAA, GxP, ISO standards)
  • Knowledge of Networking Protocols: TCP/IP, UDP, Bluetooth, Zigbee, LoRaWAN, NB-IoT, and 5G networks
  • Low Power Communication: LPWAN (Low Power Wide Area Network) technologies like LoRa, NB-IoT
  • NVIDIA Robotics & Edge AI stack, hyperscaler edge solutions (AWS IoT Greengrass, Azure IoT Edge, GCP Vertex AI)
  • OEM rugged edge platforms like Dell NativeEdge, HPE Edgeline
  • Bachelor's/Master's degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD preferred)
  • Relevant certifications from NVIDIA DLI, hyperscalers, or robotics platforms beneficial
  • Experience with deployment in brownfield industrial/clinical environments with complex safety and compliance requirements
  • Thought leadership with publications or patents in robotics, edge AI, or computer vision
  • Demonstrated ability to lead multi-disciplinary, global teams and foster innovation culture

Benefits

  • Medical
  • Dental
  • Vision
  • Pharmacy
  • Life
  • Accidental death & dismemberment
  • Disability insurance
  • Employee assistance program
  • 401(k) retirement plan
  • 10 days of paid time off per year
  • 10 paid holidays per year

Company Overview

  • HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with businesses for transformation. It was founded in 1976, and is headquartered in Noida, Uttar Pradesh, IND, with a workforce of 10001+ employees. Its website is

    • Company H1B Sponsorship

  • HCLTech has a track record of offering H1B sponsorships, with 2975 in 2025, 3974 in 2024, 3649 in 2023, 3861 in 2022, 4093 in 2021, 4317 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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