Company Description Pronto Networks is a leading global provider of products and services for Wi-Fi, 4G LTE, and 5G LTE networks. The company's solutions enable enterprises and operators to cost-effectively roll out and monetize all types of wireless LAN networks. Backed by top-tier investors such as Intel, DFJ, and eVentures, Pronto Networks is headquartered in Walnut Creek, California, with additional offices in the US and India. Role Description This is a full-time remote role for an Operations Analyst. The Operations Analyst will be responsible for analyzing business operations, providing financial insights, performing accounting tasks, delivering exceptional customer service, and communicating results to stakeholders. Daily tasks will include data analysis, financial reporting, and process improvement. Qualifications Strong Analytical Skills to evaluate business metrics and processes Excellent Communication skills for interacting with stakeholders and team members Experience in Finance and Accounting for generating financial reports and managing budgets Customer Service skills to address client needs effectively Proficiency in software and tools - Quickbooks, bill.com, Excel, ERP Ability to work independently and manage multiple tasks Bachelor's degree in Business, Finance, Accounting, or related field Show more Show less
Company Description Pronto Networks is a leading global provider of innovative products and services for Wi-Fi, 4G LTE, and 5G LTE networks. Our solutions enable enterprises and operators to effectively deploy and monetize wireless LAN networks. Pronto Networks is backed by top-tier investors such as Intel, DFJ, and eVentures. Headquartered in Walnut Creek, California, USA, we have additional offices in the US and India. Role Description This is a part-time remote role for an ERPNext Developer. The ERPNext Developer will be responsible for designing, developing, and maintaining ERPNext applications, implementing custom features, and optimizing system performance. Day-to-day tasks include collaborating with cross-functional teams, troubleshooting issues, and providing technical support to users. Qualifications Experience in designing and developing ERPNext applications and implementing custom features Proficiency in programming languages such as Python and JavaScript Ability to troubleshoot and resolve technical issues promptly Experience in working with cross-functional teams and providing technical support Excellent communication and project management skills Familiarity with Agile development methodologies is a plus Bachelor's degree in Computer Science, Information Technology, or related field
Company Description Pronto Networks is a leading global provider of products and services for Wi-Fi, 4G LTE, and 5G LTE networks. Our solutions enable enterprises and operators to cost-effectively roll out and monetize all types of wireless LAN networks. Headquartered in Walnut Creek, California, USA, Pronto Networks has additional offices in the US and India. We are backed by top-tier investors such as Intel, DFJ, and eVentures. Role Description This is a part-time remote role for a DevOps Engineer. The DevOps Engineer will be responsible for managing infrastructure as code (IaC), supporting continuous integration pipelines, and performing system administration tasks. The role also includes developing and maintaining software and ensuring the efficient operation of Linux systems. Qualifications Hands on experience with Kubernetes, Virtual Machines, Docker Experience with Infrastructure as Code (IaC) Proficiency in Continuous Integration techniques Strong System Administration skills Proficiency with Linux systems Software Development skills Excellent problem-solving and analytical skills Ability to work independently and remotely Experience in wireless networking is a plus Bachelor's degree in Computer Science, Engineering, or a related field
Company Description Pronto Networks is a leading global provider of products and services for Wi-Fi, 4G LTE, and 5G LTE networks. Our solutions enable enterprises and operators to cost-effectively roll out and monetize all types of wireless LAN networks. Headquartered in Walnut Creek, California, USA, Pronto Networks has additional offices in the US and India. We are backed by top-tier investors such as Intel, DFJ, and eVentures. Role Description This is a part-time remote role for a DevOps Engineer. The DevOps Engineer will be responsible for managing infrastructure as code (IaC), supporting continuous integration pipelines, and performing system administration tasks. The role also includes developing and maintaining software and ensuring the efficient operation of Linux systems. Qualifications Hands on experience with Kubernetes, Virtual Machines, Docker Experience with Infrastructure as Code (IaC) Proficiency in Continuous Integration techniques Strong System Administration skills Proficiency with Linux systems Software Development skills Excellent problem-solving and analytical skills Ability to work independently and remotely Experience in wireless networking is a plus Bachelor's degree in Computer Science, Engineering, or a related field
Company Overview We are a innovative technology company specializing in embedded AI solutions. Our team develops cutting-edge applications for resource-constrained environments, leveraging hardware like NVIDIA Jetson-compatible System on Modules (SOMs) to deliver real-time AI capabilities across various industries. Job Summary We are seeking a talented AI/ML Developer to join our embedded systems team. In this role, you will focus on developing and optimizing AI models for deployment on NVIDIA Jetson-compatible SOMs. Your work will involve training models using reinforcement learning techniques, creating custom models that integrate vision, network, and system data, and incorporating voice interactions for enhanced user experiences. This position requires a blend of machine learning expertise, embedded software development skills, and a passion for pushing the boundaries of AI in constrained environments. Key Responsibilities Design, develop, and train custom AI/ML models using reinforcement learning frameworks to solve complex problems in embedded applications. Integrate multimodal data sources, including computer vision (e.g., image/video processing), network telemetry, system logs, and voice interactions, into cohesive models. Optimize models for performance on NVIDIA Jetson-compatible SOMs, ensuring low latency, power efficiency, and real-time inference capabilities. Collaborate with cross-functional teams (e.g., hardware engineers, software developers) to deploy models in embedded environments, including testing and debugging on physical hardware. Conduct experiments to evaluate model performance, iterate on architectures, and implement techniques like model compression, quantization, and edge-specific optimizations. Stay updated on advancements in AI/ML, reinforcement learning, and embedded computing, applying them to improve our solutions. Document code, models, and processes to ensure reproducibility and knowledge sharing within the team. Required Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI/ML, or a related field (PhD preferred for senior roles). 3+ years of experience in AI/ML development, with a focus on reinforcement learning (e.g., using libraries like Stable Baselines, RLlib, or custom implementations). Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras. Hands-on experience with embedded systems, particularly NVIDIA Jetson platforms (e.g., Jetson Nano, Xavier, Orin) and compatible SOMs. Strong knowledge of computer vision (e.g., OpenCV, YOLO, CNNs) and processing multimodal data (vision, network/system metrics, audio/voice). Familiarity with voice interaction technologies (e.g., speech-to-text, natural language processing using libraries like SpeechRecognition or Hugging Face Transformers). Experience in model optimization for edge devices, including techniques like pruning, distillation, and TensorRT integration. Solid understanding of software engineering principles, version control (e.g., Git), and agile development methodologies. Preferred Skills Experience with real-time operating systems (RTOS) or Linux-based embedded development. Knowledge of networking protocols and system-level data integration for AI applications. Background in robotics, IoT, or autonomous systems where embedded AI is applied. Publications or contributions to open-source projects in AI/ML or embedded computing. Ability to work in a fast-paced, collaborative environment with strong problem-solving skills. What We Offer Competitive salary. Opportunities for professional growth and working on impactful projects. Flexible work environment with access to state-of-the-art hardware and tools. A collaborative team culture focused on innovation and work-life balance. If you are passionate about AI in embedded domains and ready to tackle challenging problems with reinforcement learning and multimodal models, apply now! Please submit your resume and a cover letter highlighting relevant experience.
Company Overview We are a innovative technology company specializing in embedded AI solutions. Our team develops cutting-edge applications for resource-constrained environments, leveraging hardware like NVIDIA Jetson-compatible System on Modules (SOMs) to deliver real-time AI capabilities across various industries. Job Summary We are seeking a talented AI/ML Developer to join our embedded systems team. In this role, you will focus on developing and optimizing AI models for deployment on NVIDIA Jetson-compatible SOMs. Your work will involve training models using reinforcement learning techniques, creating custom models that integrate vision, network, and system data, and incorporating voice interactions for enhanced user experiences. This position requires a blend of machine learning expertise, embedded software development skills, and a passion for pushing the boundaries of AI in constrained environments. Key Responsibilities Design, develop, and train custom AI/ML models using reinforcement learning frameworks to solve complex problems in embedded applications. Integrate multimodal data sources, including computer vision (e.g., image/video processing), network telemetry, system logs, and voice interactions, into cohesive models. Optimize models for performance on NVIDIA Jetson-compatible SOMs, ensuring low latency, power efficiency, and real-time inference capabilities. Collaborate with cross-functional teams (e.g., hardware engineers, software developers) to deploy models in embedded environments, including testing and debugging on physical hardware. Conduct experiments to evaluate model performance, iterate on architectures, and implement techniques like model compression, quantization, and edge-specific optimizations. Stay updated on advancements in AI/ML, reinforcement learning, and embedded computing, applying them to improve our solutions. Document code, models, and processes to ensure reproducibility and knowledge sharing within the team. Required Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI/ML, or a related field (PhD preferred for senior roles). 3+ years of experience in AI/ML development, with a focus on reinforcement learning (e.g., using libraries like Stable Baselines, RLlib, or custom implementations). Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras. Hands-on experience with embedded systems, particularly NVIDIA Jetson platforms (e.g., Jetson Nano, Xavier, Orin) and compatible SOMs. Strong knowledge of computer vision (e.g., OpenCV, YOLO, CNNs) and processing multimodal data (vision, network/system metrics, audio/voice). Familiarity with voice interaction technologies (e.g., speech-to-text, natural language processing using libraries like SpeechRecognition or Hugging Face Transformers). Experience in model optimization for edge devices, including techniques like pruning, distillation, and TensorRT integration. Solid understanding of software engineering principles, version control (e.g., Git), and agile development methodologies. Preferred Skills Experience with real-time operating systems (RTOS) or Linux-based embedded development. Knowledge of networking protocols and system-level data integration for AI applications. Background in robotics, IoT, or autonomous systems where embedded AI is applied. Publications or contributions to open-source projects in AI/ML or embedded computing. Ability to work in a fast-paced, collaborative environment with strong problem-solving skills. What We Offer Competitive salary. Opportunities for professional growth and working on impactful projects. Flexible work environment with access to state-of-the-art hardware and tools. A collaborative team culture focused on innovation and work-life balance. If you are passionate about AI in embedded domains and ready to tackle challenging problems with reinforcement learning and multimodal models, apply now! Please submit your resume and a cover letter highlighting relevant experience.
Role Overview: As a Network Support Manager at Pronto Networks located in HSR Layout, Bengaluru, you will be responsible for overseeing network administration, providing technical support, maintaining network security, and managing computer network operations. Your daily tasks will involve monitoring network performance, troubleshooting issues, ensuring system security, and coordinating with other departments for program management. Key Responsibilities: - Oversee network administration and computer network operations - Provide technical support to resolve network issues - Maintain network security measures to protect data and systems - Manage computer network operations efficiently - Monitor network performance on a regular basis - Troubleshoot network issues promptly - Coordinate with other departments for effective program management Qualification Required: - Proficiency in network administration and computer network operations - Strong technical support skills and experience - Expertise in network security practices - Proficient in program management - Advanced understanding of switching, routing, and WiFi technologies - Ability to set and monitor goals for new release testing, firmware testing, and complex network design,