11 Nvidia Tensorrt Jobs

Job Title Senior Infrastructure Hybrid Architect Public and Private Cloud Location Bangalore and Pune Hybrid Overview We are looking for a senior professional who can guide complex infrastructure programs, provide practical design leadership, and support delivery teams across cloud and on premises environments. The role requires strong hands on exposure to Kubernetes, enterprise infrastructure, and modern automation practices. Experience with platforms such as HPE and Dell is important. Key Responsibilities • Lead solution design for public and private cloud platforms covering compute, storage, networking, security, and container platforms. • Create high level and low level designs, configur...

AI/ML Engineer Robotics & Computer Vision We’re seeking an experienced AI/ML Engineer to build and optimize real-time perception systems for next-gen robots. The ideal candidate has strong expertise in computer vision, robotics ML , and deploying models on embedded NVIDIA platforms . Key Responsibilities Build and optimize ML/computer vision models for real-time robotic inference. Work with CUDA, TensorRT, NVIDIA GPUs , and Jetson devices. Implement object detection, sensor fusion, and perception algorithms. Integrate models into robotic systems using ROS/Isaac . Work with Python, Linux, and CI/CD pipelines. Required Skills Strong experience in AI/ML, deep learning, and computer vision . Han...

Job Description: As an Intern, you will embark on a 6-month project at the forefront of Industry 4.0, bridging the gap between shopfloor data standardization and real-time Artificial Intelligence.This role is a unique, two-phase project: Phase 1 : AI for Data Standardization. You will help build an AI-powered Copilot tool to assist our Manufacturing Engineers (MEs) in standardizing shopfloor data. Phase 2 : Edge AI for Real-Time Anomaly Detection. You will use this data-centric knowledge to optimize and deploy advanced Deep Learning (DL) models onto resource-constrained edge hardware for our 2025 strategic projects. Roles and Responsibilities: Support the development of a Proof-of-Concept (P...

Dear Aspirant, Please find the below mentioned job details and if you are suitable to the below role. please share me updated resume to smouni@deloitte.com/god1@deloitte.com along with the below details. Skill: GenAI/Nvidia Engineer(Omniverse/LLM RAG applications and Nvidia cuOpt library experience) Experience: 4 to 15 years Job Locations: Pan India Notice Period: Immediate to 90 days Details Required Names Skill Current Company Name Total years of experience Relevant Exp Current Location Preferred Location Notice Period Current CTC Expected CTC Regards Mounika S

Business Unit : Embedded Engineering Services (EES) Industry Experience Range : 10+ years Relevant Experience with AI : 5+ years Job Location : Preferably Pune Job Function, Roles & Responsibilities: Lead strategic initiatives and own the practice for Edge AI/ML , data pipelines, and intelligent embedded systems Define and build the competency roadmap for machine learning, deep learning, model deployment, and real-time inferencing on edge platforms Oversee data creation including data collection, dataset curation, annotation, cleaning, augmentation, and synthetic data generation Champion use cases involving sensor fusion, combining data from multiple sources (vision, IMU, radar, audio, etc.)...

Key Skills: Embedded Linux on ARM (i.MX6/i.MX8/Tegra) Kernel & Device Driver Development (I2C, SPI, UART, USB, SD, MIPI) C/C++ Programming, Shell Scripting Debugging using Oscilloscope, Logic Analyzer Exposure to Video Devices, Image Sensors, Codecs, UVC/UAC Knowledge of EMI, ESD, Thermal Testing Responsibilities: End-to-end project ownership from requirement to delivery Design & develop embedded firmware and drivers Handle small team (34 engineers) and ensure on-time delivery Work with Linux tools for development, debug, and production Collaborate with cross-functional teams (HW, QA, Production) Soft Skills: Analytical thinking, problem-solving, strong communication, innovation mindset, and...

DeltaX is seeking an In-Cabin AI Engineer to develop state-of-the-art Driver Monitoring Systems (DMS) and Occupant Monitoring Systems (OMS). The engineer will build, optimize, and deploy in-cabin monitoring features such as gaze tracking, head pose, seatbelt detection, hand-on-wheel, and occupant safety analytics on embedded automotive boards (e.g., TI TDA4). The role requires hands-on expertise in computer vision, deep learning, and embedded AI optimization, with strong implementation skills. Basic English communication is required. Key Responsibilities: 1. Model Development: Implement computer vision tasks: Classification, Object Detection, Keypoint Detection, Pose Estimation, Segmentation...

Role & responsibilities Job Title / Designation : Practice Lead AI/ML Business Unit : Embedded Engineering Services (EES) Industry Experience Range : 8+ years Job Location : Preferably Pune or Bangalore, Ahmedabad Shift : General Shift (Mon-Fri) Job Function, Roles & Responsibilities: Lead strategic initiatives and own the practice for Edge AI/ML, data pipelines, and intelligent embedded systems Define and build the competency roadmap for machine learning, deep learning, model deployment, and real-time inferencing on edge platforms Oversee data creation including data collection, dataset curation, annotation, cleaning, augmentation, and synthetic data generation Champion use cases involving ...

RESPONSIBILITIES: Develop, productionize, and deploy scalable, resilient software solutions for operationalizing AI & ML. Deploy Machine Learning (ML) models and Large Language Models (LLM) securely and efficiently, both in the cloud and on-premises, using state of the art platforms, tools, and techniques. Provide effective model observability, monitoring, and metrics by instrumenting logging, dashboards, alerts, etc. In collaboration with Data Engineers, design and build pipelines for extraction, transformation, and loading of data from a variety of data sources for AI & ML models as well as RAG architectures for LLMs. Enable Data Scientists to work more efficiently by providing tools for e...

Summary Penguin Computing is seeking a software engineer with a background in Software Automation to join our Software group. Penguin Computing's Scyld Software products are used in the deployment, provisioning, management, and monitoring of some of the largest computational systems in the world. In this role, you will collaborate closely with Technical Architects, Software Engineers, Product Owners and Managers, and Services engineering teams to develop a new product that delivers Software Automation capabilities and all phases of Infrastructure Management to end customers, particularly in AI space. We intend to take Infrastructure-as-code principles to their fullest potential. As part of a...

Ability to develop Deep Learning frameworks to solve problems. Design and create platforms for image processing and visualization. Knowledge of computer vision libraries. Knowledge on Video Analytics Python, C++