Nvidia jetson jobs

...Studios" * A complete visual identity system * Color palette * Typography system * Iconography direction * Grid and spacing guidelines * Brand usage guidelines * Favicon and app icon * Social media and presentation assets * Motion/logo animation concepts (optional but preferred) Design direction We admire the simplicity and longevity of brands like Apple, OpenAI, Anthropic, Stripe, Figma, Linear, NVIDIA, and SpaceX. We are **not** looking for AI clichés such as brains, circuits, robots, chat bubbles, or generic upward arrows. The identity should communicate: * Intelligence * Precision * Engineering excellence * Innovation * Confidence * Timelessness It should be minimal, distinctive, scalable, and instantly recognizable across products, websites, mobile apps, pre...

...forma privada con mi entorno de agentes desde cualquier dispositivo móvil/celular sin exponer el servidor a riesgos. #### **Requisitos del Freelancer:** * Experiencia sólida con **Ollama**, frameworks de agentes (**OpenClaw**, LangChain/LangGraph o similares) y automatización en **n8n**. * Dominio avanzado de entornos Linux (Debian/Ubuntu/Pop!_OS), gestión de puertos y asignación de recursos GPU (NVIDIA CUDA / ROCm). * Experiencia implementando túneles de red seguros (Reverse Proxies / Tunnels). * Capacidad para entregar código limpio en Python/Bash y documentar brevemente los puertos asignados a cada servicio. Si tienes experiencia montando este tipo de ecosistemas locales eficientes y rápidos, por favor postúlate d...

...executive presentation on building an AI-powered digital twin / simulation system for a manufacturing plant, using NVIDIA Omniverse as the platform foundation. The deliverable should demonstrate a ground-up system architecture — from sensor/data ingestion through simulation, AI modeling, and business outcomes — presented in a way that is credible to both technical and executive audiences. Problem framing: the operational challenges digital twins solve in manufacturing (downtime, quality escapes, throughput, changeover, predictive maintenance) Reference architecture: data ingestion → 3D/physical simulation layer → AI/ML models → decision and feedback loop Technology stack: NVIDIA Omniverse, USD/OpenUSD, relevant AI/ML frameworks, edge/cloud consi...

We are looking for a reliable person to host daily GTA 5 live streams on YouTube. Job Details Pay: $5/hour Schedule: 2 hours per day, every day If the streams perform well, the schedule may increase to up to 8 hours per day. Requirements A PC with at least: 16 GB RAM Mid-range CPU (Intel Core i5/Ryzen 5 or better) NVIDIA GTX 1060 (6 GB) or equivalent graphics card Stable high-speed internet connection. Ability to stream GTA 5 smoothly. A webcam is required. During the Stream Your face must be visible in a small webcam overlay, but wearing a mask is completely acceptable. Occasionally say a few simple words in English (basic phrases only). Follow the streaming instructions we provide. Maintain a friendly and energetic presence during the stream. Recording You must record both the g...

...* ComfyUI * GPU Infrastructure * CUDA * RunPod or other GPU cloud providers * AI Media Pipelines --- # Project Status The project architecture has already been designed. Documentation already exists for: * Engineering Constitution * Software Architecture * Database Architecture * Master Roadmap * Development Standards * Security Architecture * AI Platform Architecture we have a "Serverless" NVIDIA account in runpod You will implement the platform based on these documents. --- # Important Technical Question Please explain how you would build an enterprise AI platform that supports: * Multiple AI providers * Provider-independent architecture * Multi-tenancy * White-label * Credits * Feature-based subscriptions * Background AI job processing * SDKs * Future AI pro...

Done work, initial. - Communication; - Assessment of nvidia groot foundation model for robotics; - Attempt of partial integration of Melfa robot, doc workbooks collection.

# Technical Specification (Terms of Reference) ## Project Overview I have a facial recognition system that is fully functional on Windows. I need to migrate this project to an **NVIDIA Jetson Orin NX (8GB RAM, 256GB SSD)** and ensure that it operates reliably and efficiently. I have no prior experience with the Jetson platform, so I am looking for a specialist who can remotely configure the device, install and optimize all required software, and successfully migrate my existing project. The work will be performed remotely using **AnyDesk, RustDesk, TeamViewer, or another suitable remote access application**. --- # Current Project The project is currently working on Windows. Main technologies used: * Python * OpenCV * InsightFace * FAISS * TensorRT (if necessar...

...multi-object tracking, pose estimation, camera calibration / homography, and turning noisy real-world tracking data into robust metrics. Python + OpenCV throughout. Deployment context: the pipeline runs on an NVIDIA Jetson processing real-time video, so comfort optimizing models for constrained hardware and working with RTSP/GStreamer is valued — the ML is the heart of the role, but you'll build it on the device. You should be at home working on a headless Linux box remotely over SSH (no GUI), moving code and files via scp, and running/debugging everything from the command line. Familiarity with the Jetson/JetPack stack (CUDA, TensorRT) is a plus. The rig is already built and remotely accessible; a full technical handoff goes to shortlisted candidates. ...

I have an existing PyTorch-based autonomous driving evaluation pipeline that runs in the CARLA simulator. It's currently failing on newer NVIDIA GPU hardware due to CUDA/driver/dependency compatibility issues. I need someone to: Get the pipeline running cleanly on the target GPU environment (debugging CUDA/driver/dependency conflicts) Run evaluation and confirm standard output metrics are generated correctly Deliver clean, runnable source code with basic documentation and a demo of it working Requirements: Strong PyTorch experience Experience with CARLA simulator or similar simulation environments Comfortable debugging CUDA/driver/dependency issues, ideally with newer GPU hardware Access to a compatible GPU environment (local or cloud) Please tell me: Your experience with ...

...to GGUF format so it can run locally via Ollama. 5. Deliver a deployment guide so the model runs offline on BOTH macOS (Apple Silicon) AND Windows machines — no internet and no cloud cost. 6. Provide an accuracy report on a held-out test set. CONSTRAINTS (IMPORTANT) - Final model must run OFFLINE and CROSS-PLATFORM — it must work on both macOS (Apple Silicon) and Windows PCs (with or without an NVIDIA GPU). Patient data cannot leave the hospital — privacy requirement. - Target hardware is a mid-range machine with 16GB RAM. Inference speed of a few seconds per image is acceptable. - License must allow commercial use (Apache 2.0 / MIT preferred). No models with research-only licenses. (This is one reason we prefer Qwen2.5-VL-7B, which is Apache 2.0.) - Inference ...

...• Basic perception modules using Python, ROS2 and OpenCV. • Preliminary agronomic data pipeline for crop-health mapping. Where I need your expertise • Robotics software: refine SLAM, obstacle avoidance and path planning so the unit can run truly unattended. • Machine-learning models: train and deploy vision networks that distinguish snow, soil, crops and hazards in real time on an Nvidia Jetson class edge device. • Hardware-software integration: optimise control loops for plough/blower attachments and agricultural implements. • Cloud dashboard: stream telemetry, schedule jobs and push OTA updates via a secure web portal (Node.js or similar). Ideal profile You’ve shipped autonomous or precision-ag systems, or you’r...

I’m gearing up for Nvidia’s Inception program with an idea that tackles the $100 billion of food- and pharma-grade raw materials that currently go to waste each year. The concept is...lightweight React or Vue front end makes sense; CUDA optimisation is a plus for the Inception pitch. Acceptance criteria for the MVP: 1. End-to-end workflow: seller upload → AI price suggestion → live auction → automated & manual bids → secure checkout. 2. Latency for price predictions under two seconds on a single Nvidia GPU. 3. Admin dashboard that surfaces fraud alerts and key marketplace metrics in real time. 4. Codebase documented well enough for me to demo to Nvidia reviewers within eight weeks. If you’ve built trading, marketplace, or pric...

...and shaping a board layout that balances performance, power, thermal behaviour, and cost. To keep the project moving smoothly, I will rely on you for clear, actionable documentation and rapid design iterations that fit standard manufacturing workflows (DFM/DFT). Familiarity with tools such as Altium Designer or KiCad, signal-integrity simulation suites, and common edge-AI chipsets (e.g., NVIDIA Jetson, NXP , Qualcomm RB-series, or similar) is essential. Deliverables I expect from this engagement: • Comparative report on candidate processor modules and supporting components • Reviewed and annotated schematics with suggested part substitutions where needed • PCB stack-up, placement, and routing guidelines ready for prototype fabrication • Ther...

...specific containers, detect when they hover and tilt over a cooking zone, crop a 3-second video clip (1 second before the tilt, 2 seconds after), and upload it to a cloud dashboard. ## System Architecture & Hardware * Inputs: 8 Overhead PoE (Power over Ethernet) Dome Cameras mounted directly above 8 separate cooking stations. * Local Compute: 1 Central Edge AI Server/PC (equipped with a high-end NVIDIA GPU, e.g., RTX 4000 series) processing the 8 live streams simultaneously. * Output: Short 3-second compressed video clips sent directly to a cloud storage bucket. * Frontend: A simple, mobile-friendly web dashboard where management can view clips sorted by Station # and Time/Date. ## Key Responsibilities * Set up the multi-camera RTSP streaming pipeline to the central local ...

...guidance from India. ## Key Responsibilities ### L4 Technical Advisory * Act as the highest escalation point for complex AI/ML platform issues. * Provide expert architectural guidance and advanced troubleshooting support. * Serve as a trusted advisor to client technical leadership on AI/ML platform strategy and architecture. ### Vulnerability Management * Monitor security advisories from Red Hat, NVIDIA, Dell, , Mistral AI, and other technology partners. * Analyze security risks, recommend remediation strategies, and coordinate vulnerability resolution activities. * Ensure critical vulnerabilities are addressed within defined SLAs. ### Release Management * Evaluate vendor software releases for compatibility with the existing AI platform ecosystem. * Define release readines...

...name, not only ticker. Examples of Indian companies to include: Reliance, TCS, Infosys, HDFC Bank, ICICI Bank, Zomato, Tata Motors, Tata Power, Adani Enterprises, Adani Green, Bharti Airtel, L&T, Asian Paints, Titan, DMart, Bajaj Finance, HAL, BEL, IRFC, IREDA, NTPC, Coal India, Suzlon, Jio Financial, HCL Tech, Wipro, Mahindra & Mahindra, Maruti Suzuki. Examples of global companies/topics: Nvidia, Microsoft, Apple, Google, Meta, Amazon, Tesla, OpenAI, Anthropic, TSMC, ASML, AMD, Broadcom, Palantir, SpaceX, AI infrastructure, datacenters, nuclear energy, semiconductors, venture capital, startups, founders. Backend requirements: Use Supabase with proper tables and RLS policies. Minimum tables: * profiles * portfolio_uploads * portfolio_holdings * user_interests * us...

...reliability engineering. * Proven experience with infrastructure automation tools such as Terraform and Ansible. * Strong experience with Kubernetes and container orchestration technologies. * Familiarity with NVIDIA GPU Operator, NVIDIA Network Operator, CNI, CSI, and similar Kubernetes ecosystem tools. * Experience with job scheduling systems such as Slurm. * Strong Linux system administration skills. * Proficiency in scripting and automation using Python and Bash. * Experience with observability and monitoring platforms such as Prometheus, Grafana, and Loki. * Knowledge of GPU architectures, NVIDIA CUDA, NCCL, and AI/ML infrastructure is a strong advantage. * Strong troubleshooting and root-cause analysis skills with the ability to analyze logs, metrics, and syst...

...- Experience with vLLM, FlashInfer, or similar inference optimization frameworks - Familiarity with Docker containerization and GPU workload management Preferred Qualifications: - Experience with Claude Code Max (will be provided if needed) - Previous experience with Gonka or similar decentralized AI networks - Background in competitive ML or distributed systems optimization - Experience with NVIDIA GPU architectures (B200/B300/H200/H100/A100) - Knowledge of Tenstorrent AI ASICs or other specialized AI hardware What We Offer: - Opportunity to work with cutting-edge AI infrastructure - High performance-based bonuses tied to achieved weight improvements - Potential for full-time position with percentage of mining profits - Flexible remote work environment - Access to high-end GPU...

...infrastructure company focused on developing cutting-edge GPU computing solutions. We're seeking a Technical Representative to help us secure resources for our expanding operations through various grant programs and partnerships. Role Description: Represent our technical team during online interviews with potential partners and grant programs to secure GPU computing resources from providers like NVIDIA, Google, AWS Activate, and others. Requirements: - English B2+ (spoken) - Basic understanding of ML/AI concepts (GPU, fine-tuning, inference) - Experience with professional interviews conducted in English - Ability to effectively communicate technical concepts - Available during GMT+1, approximately 1 interview per day (10-45 minutes, strictly timed) Responsibilities: - Par...

...into a simple API endpoint (POST /parse-document) so our frontend can submit files and receive structured data back in 2-3 seconds. Deliverables: Clean, commented Python codebase. A file detailing necessary packages. A brief setup guide explaining how to deploy the script, database connection string configuration, and Ollama configuration on an Ubuntu instance equipped with an NVIDIA GPU (e.g., A4000). More details along with pdf will me shared once finalised the service provider....

...vehicle entering or leaving a parking lot. The model must recognise cars, motorcycles and trucks with at least 90 % accuracy from live or recorded video. I expect a lightweight pipeline—OpenCV for video handling paired with a deep-learning detector (YOLOv8, TensorFlow, or similar) is fine as long as it meets the accuracy goal and can run in real time on a mid-range GPU or an edge device such as Jetson Xavier. Key requirements • Environment: single or multiple fixed cameras covering a parking-lot entrance/exit. • Classes: Cars, Motorcycles, Trucks (separate tallies for each). • Accuracy: sustained 90-100 % counting precision, validated over a representative test set I will provide. • Robustness: cope with occlusions, night lighting, rain and glar...

...end-to-end demo that highlights three AI pillars I care about: Nvidia AI Enterprise for accelerated inference and training, production-grade LLM functionality (LangChain-powered), and Retrieval-Augmented Generation using a vector store. Core workflow • Code is pushed → pipeline (GitHub Actions or similar) runs tests, builds the container image, and promotes it to the cluster. • Helm or ArgoCD handles drift management so that the desired state remains in sync. • At runtime, the service must auto-scale both CPU and GPU requests, proving horizontal and vertical elasticity. • Token or currency budgeting is tracked per request so I can see live cost data and later hook it into FinOps dashboards. Inside the cluster • Nvidia AI Enterprise...

...with AI/ML deployment at the edge is a significant advantage. Experience in sports technology, health technology, or IoT environments is a plus. Strong communicator — you will be explaining architectural decisions to technical and non-technical stakeholders. Python and Node.js backend. Firebase and Google Cloud infrastructure. React-based web platform. React Native mobile. Edge inference on NVIDIA Jetson hardware....

...thermal imager lens strictly in the center, and two combined side LED matrices. 3. Internal Volume Allocation in the Base (Hardware Envelope Guide) The lower base/stand must provide sufficient internal volume to comfortably house the following hardware stack (you do not need to do the internal mechanical engineering, just ensure the exterior shell leaves enough room): * The main computer board: NVIDIA Jetson Orin NX assembled with its radiator and active cooling fan (absolute dimensions: 103mm × 90.5mm × 34.5mm). The board will be positioned at an angle inside the base. * Two audio speakers (drivers) and a small audio amplifier PCB. * A directional microphone. Requirements for the Designer: * A strong portfolio showcasing industrial design for consumer electr...

I am looking for specialists who can support one or more of the following workstreams for an advanced Nvidia-related infrastructure concept involving energy-backed AI data centers, photonic interconnects, quantum networking, and secure deterministic network cards. 1. Deal sourcing and partnership hunting Identify companies, suppliers, investors, and decision-makers connected to Nvidia-related AI infrastructure opportunities, including data center energy providers, GPU cluster operators, optical networking companies, photonic chip firms, and high-performance computing partners. 2. Target-company and contact mapping Build a qualified list of relevant companies, executives, technical leads, procurement teams, partnership managers, and government or enterprise buyers. The list ...

I need Immich running on my QNAP TS-216G so that every original image and video, the PostgreSQL database, and all generated thumbnails live permanently on the NAS itself. Heavy tasks—face recognition, video transcoding, metadata extraction—should be pushed to my Windows-based desktop with an NVIDIA GPU and handled in real time over the network. Once processing is done, the NAS must still serve and display content without relying on the PC being online. Here’s what I’m after: • Install and configure Immich (Docker or native, your choice) on the QNAP with all persistent volumes mapped to NAS storage. • Set up a clean mechanism for off-loading compute jobs to the Windows PC: this could be a companion Immich micro-service stack, Docker over WSL2, ...

Baldur’s Gate 3 keeps crashing on me mid-game and based on my researches, everything points to the graphics card. I’m running an NVIDIA GPU, RTX 4050, with the latest drivers already installed, so driver updates aren’t the issue. The game with the Larian launcher sometimes doesn't launch properly; the problem also shows up once I’m actually playing. I need someone who can dig into GPU-related crashes—review logs, diagnose conflicts, tweak in-game or control-panel settings, or apply any known hot-fixes—until the game stays stable. A clean, repeatable solution is the goal; I don’t want a workaround that still risks random lock-ups a few hours later. Deliverables • Pinpoint the root cause of the gameplay crashes • Apply o...

...assistant that runs directly on an NVIDIA Jetson board. The model will reason over image data at the edge, so every millisecond saved and every megabyte spared matters. Memory-optimised execution is therefore the single most important constraint, though I still expect you to keep latency low and power draw sensible. Here is what I want to achieve. The LLM must accept a pre-processed visual input, apply prompt-engineering tricks that preserve context, and reply fast enough to be useful on-device—no cloud fallback. Smart caching, selective quantisation, and, when it genuinely pays off, lightweight fine-tuning are all on the table. I will look to you to suggest the right mix of techniques and to implement them. You should be comfortable with TensorRT, NVIDIA Tr...

...intervention. Here is what matters to me: • Vision logic: Please build or integrate computer-vision models (OpenCV, YOLO, TensorFlow Lite or similar) that detect and track people moving through the camera’s full 360° field of view. The algorithm must distinguish unique passes so that every person is counted once. • Edge or cloud flexibility: I am fine with the model running on a Raspberry Pi 4, Jetson Nano, or a small cloud instance—as long as latency is low and setup remains simple. • Mixed environments: Accuracy should hold both indoors and outdoors. Lighting at trade-show booths is very different from an outdoor activation, so include a quick calibration routine (e.g., exposure, background learning). • Output & dashboard: All I need...

ob Title: Full-Stack Developer Needed: 16 to Headless Unity 6 Automation Pipeline (0 to 100) Project Summary: I am looking for a Senior Full-Stack Developer to build a complete, automated 3D data-rendering and camera kinematics capture pipeline from scratch (0 to 100). The system operates as a headless backend bridge between web architecture and a 3D en...Animation Upgrades: Implement 4 professional script-controlled camera paths (with speed/easing overrides), an expanded character state machine, procedural audio-driven lip-sync, and Chroma Key (Green Screen) / Depth Pass toggles. DevOps Layer (Docker & Linux): Package the full stack and a Headless Linux Unity build into a unified Docker container running with a virtual frame buffer (Xvfb) and NVIDIA GPU passthrough enabled.

...Native resolution capture (1080p minimum, 60 fps preferred) • No watermarks, commentary, or on-screen overlays—pure in-game audio only • Consistent file naming and lossless or lightly compressed formats (ProRes, DNxHD, or high-bit-rate MP4) • Delivery via Google Drive or similar cloud link, with session notes that list the game, mode, and approximate timestamps of key moments OBS Studio, NVIDIA ShadowPlay, Elgato, or comparable capture solutions are all acceptable as long as they meet the quality targets above. If you already have access to a popular or recently released game that you think would showcase well, let me know; I’m open to suggestions. Footage will be reviewed for resolution integrity, frame-rate stability, and absence of overla...

I need help debugging an Nvidia Jetson Orin setup with both MIPI and GMSL cameras. Currently, the GMSL link is locked, but there's no CSI output. Key tasks include: - Diagnose and resolve the no CSI output issue. - Ensure proper integration of both MIPI and GMSL cameras. Preferred working method: - Debug remotely via a call with me. Ideal skills and experience: - Expertise with Nvidia Jetson platforms, especially Orin. - Strong background in debugging MIPI and GMSL camera interfaces. - Familiarity with CSI output and camera link protocols. Looking for a solution-oriented professional to get this system operational.

...AI infrastructure, open-source AI, Kubernetes, MLOps, cloud, and technical explainers Engagement: Freelance / project-based / part-time Location: Remote About the Channel I run a YouTube channel focused on explaining complex AI infrastructure and open-source technology in a simple, visual, and engaging way. Topics include: Agentic AI Kubernetes for AI workloads vLLM, KServe, Kubeflow, Kueue NVIDIA AI infrastructure Graph RAG Open-source AI stacks MLOps and cloud-native AI The goal is to make technical content understandable for engineers, founders, students, and tech-curious viewers. I am looking for a creative freelancer who can help improve the visual quality, animations, thumbnails, and overall growth of the channel. Responsibilities The freelancer will help with: 1. ...

...API while keeping latency to a minimum. Since this is a longterm project I am planning this project in 2 stages. Once both stages are complete, it should do as much as possible of the data analytics on a desktop instead on any cloud versions as in later stages as I assume my own developed mathematical models will need a lot local computing power. For excessive computing power I already have the NVIDIA DGX spark that allows me to run local AI models. So also for the initial stage setup I need you to consider the later integration of the DGX spark. The developer shall provide only Stage 1 with the aim of setting up the right infrastructure and deliver a functional platform with documentation. The platform shall be an automated AI based trading platform for stocks based on a VPS ...

...maintain eye contact naturally run smoothly in realtime The goal is to achieve realism close to MetaHuman quality, while still being optimized enough for stable realtime performance. Technical Requirements Looking for experience with: realistic 3D human avatars GLB / GLTF / VRM workflows facial rigging blendshapes / morph targets ARKit-compatible facial expressions visemes / realtime lip sync NVIDIA Audio2Face compatibility realtime rendering pipelines Preferred runtime environment: / React Three Fiber The current system is web-based, so compatibility is strongly preferred. Deployment Requirements The solution must be self-hosted / owned by us. We do NOT want dependency on external SaaS avatar services with recurring per-user or per-message pricing. The avatar should

...pipelines, and collaborate on robotics systems that enable intelligent robots to learn and operate effectively in complex environments. This is a fully remote contract opportunity with flexible working hours and premium compensation. Key Responsibilities • Design and implement accurate robot models using URDF, MJCF, and SDF formats • Develop and maintain simulation environments using: MuJoCo NVIDIA Isaac Sim Gazebo Isaac Gym (preferred) • Build scalable simulation pipelines for: Robot training Validation testing Motion planning Navigation Manipulation tasks Reinforcement learning workflows • Tune and optimize simulation parameters including: Friction Damping Inertia Contact dynamics Actuator behavior Collision models • Integrate robotics simulat...

I'm seeking expertise in AI object detection to help develop a system for detecting drones using an NVIDIA Jetson Orin Nano. The primary use case is security surveillance in urban areas. Key Requirements: - Immediate guidance and expertise required - Detection of drones specifically - Deployment in urban or rural security surveillance contexts - Professionals with prior experience specifically on NVIDIA Jetson platforms - Exclusion of those looking to learn on the job Ideal Skills and Experience: - Proficiency with NVIDIA Jetson platforms - C++ for coding DeepStream application - Strong background in AI and computer vision - Experience with urban or rural surveillance applications Please provide examples of similar work done.

I’m looking for a skilled builder who can help me complete a Holybro x650 drone kit. This is for a research project with The Bulletin of the Atomic Scientists thebulletin.org. I need instruction for both completing the build and programming an NVIDIA Jetson Nano kit. I am a newbie with no experience in electronics and so need instruction at a basic to intermediate level. Kindly, Matt

...Backend – Python 3.11, FastAPI, SQLAlchemy + Alembic, PostgreSQL, Redis, WebSocket • AI layer – YOLOv8 (people detection / counting), DeepSORT (tracking), RetinaFace + InsightFace-ArcFace (face detection / recognition), FAISS for vector search, OpenCV to pull RTSP streams • Frontend – 15 with TypeScript, Tailwind CSS, Recharts for dashboards • Infrastructure – Docker, docker-compose, NVIDIA CUDA runtime for GPU inference, Nginx reverse proxy Backend reliability and performance sit at the top of the priority list, so I expect an asynchronous FastAPI setup, connection pooling, health checks, graceful shutdown, and clear separation between I/O-bound and GPU-bound tasks. Deliverables should include: 1. Well-documented repo (or mon...

I’m looking to collaborate with an IT professional who also has a strong flair for writing. I have a series of self-paced trainings (ranging from 2 to 20 hours) across topics like Cloud, Networking, Generative AI, NVIDIA, Agentic AI, and Cloud System Design. The goal is to convert these into well-structured, high-quality books. This is a long-term opportunity, with 15+ trainings planned for publication. What I’m looking for: * Strong technical background * Ability to simplify and present complex concepts clearly * Experience in technical writing (preferred) * Comfort using Generative AI tools (but not relying on copy-paste content) To be considered: =============== Please review the Udemy training below. You can explore the free preview lectures without making a pur...

Note: This requires a Nvidia graphics card, please do not bid unless you have one I have a C# application, that will download trellis.2 and flux AI models and use them. Your task is simple, use the software and report any issues, i prefer screen share with discord

We are looking for a hands-on Senior Computer Vision Architect to scale our live multi-camera video analytics platform from 100 to 1,000+ cameras across NVIDIA DeepStream and distributed edge device architectures. The ideal candidate must have strong production experience with NVIDIA DeepStream SDK, TensorRT optimization, edge AI deployments, and large-scale camera infrastructure. Responsibilities: • Design and manage a scalable 1,000-camera architecture with high availability and low latency • Optimize DeepStream pipelines (NvInfer, NvTracker, NVDEC, GStreamer) for stable FPS under heavy load • Deploy an manage CV models on Jetson or equivalent edge devices • Fine-tune YOLO models and export optimized TensorRT engines • Build and improve inf...

I’m ready to move from idea to working pro...thermal and weather-proofing considerations • One functional prototype (3-D printed or machined housing is fine at this stage) fully wired, flashed and ready for field testing • Clear test results that demonstrate reliable motion detection and sharp video in both environments, plus all native design files so iterations are easy If you already work with components such as Sony IMX sensors, NVIDIA Jetson, ESP32-CAM, open-source motion libraries or similar, let me know—your existing tool-chain could shorten development time. A short note about how you would approach the motion algorithm and outdoor sealing will help me choose the right partner. I’m keen to begin as soon as you can outline milestones...

... * Limited Accessibility: Due to their high cost and specialized nature, access to supercomputers is often restricted to research institutions and government agencies. Important of supper Computer. 1. Supporting AI research: Supercomputers are necessary for AI and machine learning, which require vast data processing power. Companies like Microsoft and Nvidia design supercomputers specifically for AI tasks, such as Microsoft's Turing NLP framework and Nvidia’s Perlmutter. 2. Simulating mathematical problems: Supercomputers model interactions in fields like weather, drug interaction and star formation, helping scientists and businesses make data-driven decisions and test innovations. 3. Parallel processing: Supercomputers use ...

...(distance/proximity) respond with simple movement and expressive lighting run structured behavioral states (idle, listening, calm, docking, etc.) support basic voice interaction/audio output This is still a practical prototype build project — not a high-complexity robotics or AI research system. Scope of Work Hardware Integration Set up Raspberry Pi 5 (or recommend alternative such as ESP32/Jetson/Arduino where appropriate) Integrate: 2x quiet DC gear motors motor driver battery pack proximity / ToF sensors LED ring + LED light band speaker + microphone array optional camera support Mobility & Stability (UPDATED) Implement: smooth forward/reverse movement controlled turning stable low-speed movement support for hidden front caster wheel design Important: Movement ...

...mandatory. • Lip sync / facial animation The avatar should animate while speaking, including: mouth movement synchronization basic facial animation blinking / idle movements preferred At minimum, the avatar should support vowel-based mouth shapes so it visually appears to modulate speech naturally in Spanish. Possible technologies are open to proposal: Unity Unreal Engine WebGL Live2D NVIDIA Audio2Face Oculus LipSync Rhubarb Lip Sync or similar alternatives • AI integration flexibility The conversational AI provider is not fixed. The architecture should allow easy replacement/integration of APIs such as: Grok OpenAI Claude Gemini local LLMs custom APIs We will later modify the backend/API ourselves, so modular architecture is important. • Audio pipeline ...

...requirements: • Local execution The system must run locally using CPU/GPU resources. Cloud dependence should be minimal or optional. • Lip sync / facial animation The avatar should animate while speaking, including: mouth movement synchronization basic facial animation blinking / idle movements preferred Possible technologies are open to proposal: Unity Unreal Engine WebGL Live2D NVIDIA Audio2Face Oculus LipSync Rhubarb Lip Sync or similar alternatives • AI integration flexibility The conversational AI provider is not fixed. The architecture should allow easy replacement/integration of APIs such as: Grok OpenAI Claude Gemini local LLMs custom APIs We will later modify the backend/API ourselves, so modular architecture is important. • Audio pipeline I...

...Quantization (PTQ). Attention simplification (e.g., efficient attention mechanisms). Coordination/Synergy optimization between VAE and DiT. Core Requirements: Target Model: DOVE (Repository: ) Acceleration Target: 1.5x - 1.8x end-to-end inference speedup. Hardware Baseline: The speedup must be achieved and evaluated on a high-end NVIDIA GPU with 40GB+ VRAM (specifically targeting NVIDIA L40S, H100, or equivalent). Testing Condition: The inference speed MUST be measured under the "no tiling" setting. Quality Metrics Constraints: Image Quality Assessment (IQA) metrics and Temporal metrics must NOT decrease compared to the original DOVE baseline. PSNR and SSIM are allowed to drop, but the degradation must strictly not exceed 8%. Tech Stack: Native PyTorch

I'm seeking a skilled hardware designer to create a custom carrier board for the Jetson Orin Nano, tailored for IoT applications. The carrier board must include: Key Requirements: - Storage (NVMe) - Wireless (WiFi/BT) - USB, HDMI, debug - Isolated CAN - PoE - Audio out - DC input Ideal Skills and Experience: - Proficiency in hardware design for AI/ML and IoT devices. - Experience with NVIDIA Jetson products, particularly the Jetson Nano. - Strong knowledge of integrating multiple connectivity options. Please provide relevant experience and examples of similar projects completed.

...cloud dependency) Technical Requirements:** * Strong experience in Computer Vision and Deep Learning * Hands-on experience with: * YOLO / SSD (object detection) * OCR models (CRNN, LPRNet, Tesseract improvements) * Experience with: * OpenCV * PyTorch / TensorFlow * RTSP stream handling (FFmpeg / GStreamer preferred) * Experience deploying models on: * Linux systems * Edge devices (Jetson preferred) --- **SDK Requirements:** * Deliverable must be a reusable SDK (not just an application) * Provide APIs in: * Python and/or C++ * Documentation for integration * Sample application for testing --- **Performance Expectations:** * Recognition latency: < 500 ms per frame * Accuracy target: * ≥ 95% (day conditions) * ≥ 90% (night conditions) --- **...