HCLTech · 11 hours ago
Edge AI Principal
United States
Full-time
Remote
Lead/Staff
$200K/yr - $240K/yrHCLTech 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.
Information and Communications Technology (ICT)IT ManagementOutsourcingSoftwareTelecommunications
Hiring Manager
Vipin Kumar
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
Qualification
Required
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
Preferred
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
HCLTech
HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with businesses for transformation.
Founded in 1976
10001+ employees
H1B Sponsorship
HCLTech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2975)
2024 (3974)
2023 (3649)
2022 (3861)
2021 (4093)
2020 (4317)
Funding
Current Stage
Public CompanyTotal Funding
$220MKey Investors
ChrysCapital
2008-07-10Post Ipo Equity· $220M
2000-01-06IPO
Leadership Team
Vijayakumar C.
Chief Executive Officer
Alan Flower
Executive Vice President - CTO & Global Head, AI & Cloud Native Labs
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