15 Tpu Jobs

JOB TITLE: AI ASSOCIATE OPTIMIZATION Location: Bengaluru | Experience: 1-3 Years ABOUT NEWCOLD NewCold is a service provider in cold chain logistics with a focus on development and operation of large, highly automated cold stores. NewCold strives to be crucial in the cold chain of leading food companies, by offering advanced logistic services worldwide. NewCold is one of the fastest growing companies (over 2,000 employees) in the cold chain logistics and they are expanding teams to support this growth. They use the latest technology that empowers people, to handle food responsibly and guarantee food safety in a sustainable way. They challenge the industry, believe in long-term partnerships, and deliver solid investment opportunities that enable next generation logistic solutions. NewCold has leading market in-house expertise in designing, engineering, developing and operating state-of-the-art automated cold stores: a result of successful development and operation of over 15 automated warehouses across three continents. With the prospect of many new construction projects around the world in the very near future, this vacancy offers an interesting opportunity to join an internationally growing and ambitious organization. POSITION SUMMARY NewCold is seeking an AI Associate Optimization to enhance the performance and efficiency of our AI-powered solutions within our highly automated cold chain logistics network. This role focuses on optimizing machine learning models deployed in warehouse operations, ensuring low latency, high throughput, and accurate predictions for improved decision-making. You will be instrumental in bridging the gap between data science and real-world deployment, contributing to the continuous improvement of our automated systems. This position requires a strong understanding of model serving, containerization, and edge AI technologies. YOUR ROLE As an AI Associate Optimization, you will play a critical role in ensuring the reliability, scalability, and performance of AI models powering NewColds automated warehouse processes. You will be responsible for optimizing models for deployment across diverse infrastructure, including cloud and edge environments, directly impacting operational efficiency, cost reduction, and the overall effectiveness of our logistics solutions. Your work will contribute to maintaining NewColds competitive edge through cutting-edge AI implementation. KEY RESPONSIBILITIES Implement model optimization techniques such as quantization and knowledge distillation to reduce model size and improve inference speed for deployment on edge devices and cloud infrastructure. Develop and maintain CI/CD pipelines for automated model deployment and updates, ensuring seamless integration with existing systems. Benchmark and profile model performance (latency, throughput, memory usage) to identify bottlenecks and areas for improvement. Deploy and manage machine learning models using model serving frameworks like TensorFlow Serving, TorchServe, ONNX Runtime, or Triton Inference Server. Containerize AI models and applications using Docker and Podman for consistent and reproducible deployments. Collaborate with data scientists and software engineers to troubleshoot model performance issues and implement solutions. Monitor model performance in production and proactively address any degradation in accuracy or efficiency. Develop and maintain APIs/SDKs (REST, gRPC, FastAPI) for accessing and integrating AI models into various applications. Work with edge devices (NVIDIA Jetson, Coral TPU, ARM-based boards) and edge frameworks (TensorRT, OpenVINO, TFLite, TVM) to optimize models for low-power, real-time inference. WHAT WE ARE LOOKING FOR Bachelors or masters degree in computer science, Artificial Intelligence, Machine Learning or a related field 1-3 years of experience in a role focused on machine learning model optimization and deployment. Proficiency in Python and C++ programming languages. Hands-on experience with model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime, Triton Inference Server). Experience with containerization technologies (Docker, Podman) and orchestration tools (Kubernetes, K3s, Edge orchestrators). Knowledge of model optimization techniques such as quantization and knowledge distillation. Familiarity with benchmarking and profiling tools for evaluating model performance. Strong analytical and problem-solving skills with a data-driven approach. Experience with CI/CD pipelines for ML deployment is highly desirable. Knowledge of edge devices (NVIDIAJetson, Coral TPU, ARM-based boards) and edge AI frameworks (TensorRT, OpenVINO, TFLite, TVM) is a significant plus. WHY JOIN US Opportunity to work on cutting-edge AI applications in a rapidly growing and innovative cold chain logistics company. Exposure to a wide range of AI technologies and challenges within a highly automated warehouse environment. Career growth potential within a dynamic and international organization. Collaborative and supportive team environment with opportunities for learning and development. Contribute to the development of next-generation logistics solutions that are shaping the future of the food supply chain. Show more Show less

If you are inclined towards building your career in AI & ML here is an opportunity to make that happen. As an Applied AI ML Lead - VP at JPMorgan Chase within the Corporate Sector AIML Data Platforms, you will lead a specialized technical area, promoting impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery. You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key. Job Responsibilities Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions. Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions. Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage. Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems. Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks. Drive the adoption and execution of AI/ML Platform tools across various teams. Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques. Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth. Manage, mentor, and develop a team of AI/ML professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals. Required Qualifications, Capabilities, and Skills Bachelor's degree or equivalent practical experience in a related field. 8+ years of experience in engineering management with a strong technical background in machine learning. Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn). Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture. Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators. Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems. Strategic thinker with the ability to craft and drive a technical vision for maximum business impact. Demonstrated leadership in working effectively with engineers, data scientists, and ML practitioners. Preferred Qualifications, Capabilities, and Skills Strong coding skills and experience in developing large-scale AI/ML systems. Proven track record in contributing to and optimizing open-source ML frameworks. Recognized thought leader within the field of machine learning. Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.

Exp-15+yrs Location-PAN india JD Network Automation Engineer Private Cloud Datacenter Job Description: We are looking for an experienced Network Automation Engineer to design, implement, and optimize automation solutions for our Private Cloud datacenter network , which underpins large-scale AI/ML GPU and TPU workloads . This role focuses on automating configuration, provisioning, and monitoring of high-performance networking devices to ensure low latency, high throughput, and reliability in a mission-critical environment. This role involves automating network device management as well as OS-level network configurations on servers. Expertise in Ansible and Python is essential, and experience with GoLang is a strong plus. Key Responsibilities: Develop and maintain network automation frameworks for large-scale datacenter environments supporting AI/ML workloads. Build Ansible playbooks, roles, and modules to automate device configurations, software upgrades, and compliance checks across multi-vendor environments. Design and implement Python-based automation scripts and tools to integrate with APIs, orchestration platforms, and monitoring systems. Automate OS core networking configurations on servers (Linux / Windows / Hypervisor) including bonding, VLANs, routing tables, kernel network parameters, MTU tuning, and NIC performance optimization. Collaborate with cloud infrastructure, network engineering, and DevOps teams to deliver seamless provisioning and scaling of GPU/TPU clusters. Ensure network automation solutions meet high-performance computing (HPC) requirements such as low latency, high throughput, and fault tolerance. Participate in network architecture reviews to provide automation insights and recommendations. Document automation processes, workflows, and operational guidelines for the datacenter network. Stay updated on emerging technologies in network automation, SDN, and private cloud networking. Required Skills & Experience: Expertise in Ansible (playbook development, dynamic inventory, custom modules) for large-scale network automation. Strong proficiency in Python for scripting, API integrations (REST, NETCONF, gNMI), and device interaction (e.g., NAPALM, Netmiko, Paramiko). Hands-on experience with high-performance datacenter networking devices (Cisco Nexus, Arista, Juniper, Mellanox/NVIDIA Networking). Knowledge of Linux / Windows / Hypervisor OS core networking , including: Network stack configuration (sysctl tuning, TCP/UDP parameters). NIC bonding, SR-IOV, DPDK, and kernel bypass techniques. VLANs, routing tables, MTU adjustments, jumbo frames. Performance tuning for HPC/AI workloads. Deep understanding of networking concepts including BGP, EVPN-VXLAN, MPLS, QoS, and leaf-spine architectures. Experience in Private Cloud environments with a focus on supporting HPC/AI workloads. Familiarity with CI/CD pipelines (GitLab, Jenkins) for deploying automation at scale. Knowledge of network observability, telemetry, and streaming protocols (gRPC, sFlow, SNMP, InfluxDB, Prometheus). Strong problem-solving skills and ability to operate in a high-availability, mission-critical datacenter environment . Good to Have: GoLang experience for building scalable and high-performance automation tools. Familiarity with Infrastructure-as-Code (IaC) tools like Terraform or Pulumi. Exposure to Kubernetes networking (CNI plugins) and containerized workloads . Understanding of AI/ML workload characteristics and their impact on network design and performance. Experience with SDN solutions (e.g., Cisco ACI, VMware NSX, NVIDIA Cumulus).

As an AI/ML Consultant specializing in Generative AI and Machine Learning, you will leverage your 8+ years of experience to lead and deliver AI initiatives in the Healthcare, BFSI, and Manufacturing sectors. Your role will involve collaborating with stakeholders to develop scalable AI solutions that integrate Generative AI techniques like LLMs and transformers with traditional ML approaches such as time series analysis, classification, and deep learning. Your core responsibilities will include: AI/ML Strategy & Delivery: - Leading end-to-end AI/ML projects, from concept to implementation. - Working closely with stakeholders to transform business requirements into effective AI solutions. - Applying a combination of Generative AI and traditional ML methods to address diverse industry challenges. Technical & Platform Expertise: - Designing and implementing GenAI solutions using technologies like LLMs, agentic AI, and LangChain. - Hands-on experience with NLP, RAG, LoRA/PEFT, and prompt engineering. - Proficiency in Python programming and familiarity with TensorFlow, PyTorch, and HuggingFace. - Expertise in working with vector databases such as FAISS, Chroma, and Pinecone. - Implementing MLOps best practices, including CI/CD and ML model lifecycle management with tools like MLflow. Integration & Innovation: - Developing AI-powered applications using frameworks like Streamlit and FastAPI. - Deploying models on cloud platforms like AWS, Azure, and GCP, as well as GPU/TPU accelerators. - Collaborating with engineering and product teams to integrate AI solutions into enterprise systems. Qualifications for this role include: - 8+ years of experience in AI/ML, with at least 2-3 years in client-facing or leadership positions. - Demonstrated expertise in leading complex AI programs and providing guidance to senior executives. - Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields. - Industry certifications in AWS, Azure, GCP, or Databricks would be beneficial. - Knowledge of regulated industries such as Healthcare, Pharma, and BFSI is preferred. In addition to your technical skills, strong communication abilities will be essential for effectively conveying complex technical concepts to non-technical audiences. Stay informed about the latest AI trends, including multimodal models and ethical AI practices, to drive innovation and maintain industry relevance.,

Description Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Do you like startups Are you interested in Cloud Computing & Generative AI Yes We have a role you might find interesting. Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. To address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether thats capital, engineering resource, or experience. This is where you come in. The Startup Solutions Architecture team is dedicated to working with these early stage startup companies as they build their businesses. Were here to make sure that they can deploy the best, most scalable, and most secure architectures possible and that they spend as little time and money as possible doing so. We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, youll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. Youll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor. As well as spending time working directly with customers, youll also get plenty of time to sharpen the saw and keep your skills fresh. We have more than 175 services across a range of different categories and its important that we can help startups take advantages of the right ones. Youll also play an important role as an advocate with our product teams to make sure we are building the right products for the startups you work with. And for the customers you dont get to work with on a 1:1 basis youll get the chance to share your knowledge more broadly by working on technical content and presenting at events. A day in the life Youre surrounded by innovation. Youre empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it&aposs always "Day 1". Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying. Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud. Inclusive Team Culture Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience 3+ years of design, implementation, or consulting in applications and infrastructures experience 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications Experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networking. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. Company - AWS India - Karnataka Job ID: A3017037 Show more Show less

DESCRIPTION Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Do you like startups Are you interested in Cloud Computing & Generative AI Yes We have a role you might find interesting. Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. To address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience. This is where you come in. The Startup Solutions Architecture team is dedicated to working with these early stage startup companies as they build their businesses. We're here to make sure that they can deploy the best, most scalable, and most secure architectures possible - and that they spend as little time and money as possible doing so. We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you'll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You'll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor. As well as spending time working directly with customers, you'll also get plenty of time to sharpen the saw and keep your skills fresh. We have more than 175 services across a range of different categories and it's important that we can help startups take advantages of the right ones. You'll also play an important role as an advocate with our product teams to make sure we are building the right products for the startups you work with. And for the customers you don't get to work with on a 1:1 basis you'll get the chance to share your knowledge more broadly by working on technical content and presenting at events. A day in the life You're surrounded by innovation. You're empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always Day 1. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience PREFERRED QUALIFICATIONS - Experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing - Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker - Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networking. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

You have a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Additionally, you have 10 years of experience in ASIC hardware architecture and silicon design. Ideally, you also possess a Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with a focus on computer architecture. Your background includes experience with processor core architectures (such as ARM, x86, RISC-V, etc.) and IPs commonly used in SoC designs. Moreover, you have expertise in architecting and designing low power ASIC hardware IP for complex SoCs in various areas like camera ISP, video codecs, display, graphics, and machine learning networks. You have also worked with ambient or always-on vision hardware and workflows for ultra-low power SoC applications. As a member of our team, you will be involved in developing custom silicon solutions for Google's direct-to-consumer products. Your contributions will play a vital role in shaping the future of hardware experiences, ensuring unparalleled performance, efficiency, and integration for products that are beloved by millions globally. At Google, we are committed to organizing the world's information and making it universally accessible and useful. Our team leverages the synergy of Google AI, Software, and Hardware to create innovative and impactful experiences. We are constantly researching, designing, and developing new technologies and hardware to enhance computing speed, seamlessness, and power, ultimately aiming to improve people's lives through technology. Your responsibilities will include defining and delivering the hardware Multimedia/Graphics ASIC IP architecture to meet competitive power, performance, area, and image quality objectives. This role requires you to collaborate closely with Graphics, Camera, Video, Display, and ML software, system, and algorithm engineers to co-develop and specify competitive hardware IP architectures for integration into complex SoCs. You will work with GPU, TPU, camera ISP, video, and display hardware IP design teams across global sites to drive the hardware IP architecture specifications into design implementation for complex SoCs. In addition, you will collaborate with SoC and System/Experience architects to meet rigorous power, performance, and area requirements at the SoC level for multimedia use cases and experiences. Data analysis and tradeoff evaluations will also be part of your responsibilities to enhance multimedia architecture solutions.,

As a Testing Engineer at Google, you will play a vital role in ensuring the quality and reliability of embedded software. Your responsibilities will include collaborating with development teams to create and execute test strategies, with a focus on identifying risk areas and enhancing testing frameworks. You will be tasked with automating tests using existing frameworks, specifically targeting AI/ML model functionality and performance. To qualify for this position, you should possess a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or demonstrate equivalent practical experience. Additionally, you should have a minimum of 6 years of experience in testing and debugging embedded software on SoC platforms running Linux, Android, or RTOS. Preferred qualifications for this role include hands-on experience with hardware and accelerators such as GPU, TPU, and DSP. Proficiency in automating tests using established frameworks and strong programming skills in Python and Docker will be beneficial. Join Google's dynamic team in their mission to organize the world's information and create innovative technologies that enhance people's lives. If you are passionate about software testing, automation, and working with cutting-edge technologies, this role offers an exciting opportunity to contribute to the development of groundbreaking solutions.,

The position of Injection Molding Operator requires a minimum of 10 years of experience in working with materials such as TPU, ABS, PC, Nylon, and PPCP. You will be responsible for operating and maintaining injection molding machines that are controlled by PLC systems. The working hours for this role are 12 hours per day. This is a full-time and permanent position that follows a rotational shift schedule. As part of the benefits package, you will be eligible for a yearly bonus. The work location for this role is on-site. The expected start date for this position is April 21, 2025.,

Proficiency in C and Assembly programming for embedded systems. Experience with firmware development and debugging on bare metal or RTOS environments. Strong understanding of JTAG and other hardware debugging interfaces. Hands-on experience with at least two SoC sub systems:CPU, GPU, multimedia, TPU, PCIe, or USB. Familiarity with SoC architectures and low-level hardware/software interaction. Experience with test automation using Python or Bash is a plus. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities.

Primary Skills: Embedded C, RTOS, Baremetal, Firmware Development, GPU, CPU Port and develop tests* for bare metal environments on mobile SoC platforms. Design, implement, and debug firmware* for embedded systems, ensuring robust and scalable solutions. Work closely with hardware teams* to define system requirements and validate hardware functionality. Utilize JTAG and other debugging tools* for low-level troubleshooting and validation. Develop and execute test plans* for various SoC subsystems (CPU, GPU, multimedia, TPU, PCIe, USB). Optimize code* for performance, efficiency, and memory usage in resource-constrained environments. Automate test execution* and reporting using Python or Bash scripts. Document test procedures, results, and codebase* for maintainability and knowledge sharing Proficiency in C and Assembly programming* for embedded systems. Experience with firmware development* and debugging on baremetal or RTOS environments. Strong understanding of JTAG and other hardware debugging interfaces. Hands-on experience with at least two SoC subsystems:* CPU, GPU, multimedia, TPU, PCIe, or USB. Familiarity with SoC architectures* and low-level hardware/software interaction. Experience with test automation* using Python or Bash is a plus. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities.

We are looking for a skilled Computer Vision Engineer with a strong background in microservice deployment architecture to join our team. In this role, you will be tasked with creating and implementing computer vision models to analyze retail surveillance footage for various purposes such as theft identification, employee productivity monitoring, and store traffic analysis. Your primary responsibilities will include developing computer vision models by building, training, and optimizing deep learning models for tasks like theft detection, employee efficiency tracking, and store busy hours analysis. Additionally, you will be involved in designing and deploying scalable microservice-based solutions on cloud platforms to deliver real-time and post-event analytics for enhancing retail operations. Key responsibilities also involve developing data processing pipelines for real-time and batch video data streams, integrating computer vision services with existing retail systems, optimizing model performance, and ensuring compliance with security and privacy standards. The ideal candidate will have at least 3 years of experience in computer vision, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms and real-time video analytics is required. Proficiency in programming languages such as Python, C++, or Java, as well as expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, is essential. Preferred qualifications include experience with edge device deployment, understanding of retail operations, and knowledge of data privacy regulations. Strong analytical, problem-solving, and communication skills are also desired. We offer a competitive salary, stock options, and health insurance. If you are enthusiastic about developing cutting-edge computer vision solutions and deploying them to revolutionize retail operations, we encourage you to apply now.,

Staff IP/RTL Design Engineer for TPU Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/ Bangalore IP/RTL Design Engineer for TPU Position Overview Seeking an IP/RTL Design Engineer with 5+ years of experience to design IP/RTL for TPUs, focusing on high-performance matrix multiplication, low-latency interconnects, and power-efficient AI acceleration. Key Responsibilities Design IP blocks for TPU cores, including systolic arrays, vector units, and memory subsystems. Develop Verilog/SystemVerilog RTL for performance, timing, and area optimization. Implement high-speed interconnects (e.g., AXI, NoC) for TPU data pipelines. Optimize designs for high throughput, low latency, and power efficiency in AI workloads. Integrate LPDDR6, HBM3, DDR5, or chiplet-based memory interfaces. Support synthesis, timing closure, and FPGA prototyping and Design Verification team Document microarchitecture and design specifications. Required Qualifications Education: BS/MS in Electrical/Computer Engineering. Experience: 5-10+ years in ASIC/FPGA IP/RTL design, with 3+ years in AI accelerators or TPU-like architectures. Skills: Proficient in Verilog/SystemVerilog RTL design. Knowledge of TPU architectures, systolic arrays, or matrix multiplication units. Experience with AXI, NoC, or similar interconnect protocols. Familiarity with LPDDR6, HBM3, DDR5, or high-bandwidth memory interfaces. Proficiency with synthesis and timing tools (e.g., Synopsys Design Compiler). Strong problem-solving and teamwork skills. Preferred Qualifications Experience with AI/ML workloads or datacenter TPU designs and GPU architectures Knowledge of CXL, PCIe, UALink, or Ultra Ethernet. Familiarity with power optimization for high-performance chips. What is in it for you? Pure play product work environment Chance to work with a tightly knit group of exceptional engineers who come from the top companies of the Semiconductor world Our pay comprehensively beats "ALL" Semiconductor product players in the Indian market. A meritocracy first work place where each peer is a star A chance to be a part of industry shaping product in entirety (not bits and pieces) from initial stages A chance to work at a startup which already has customers and investor lined up for their product pipeline (We do not have a marketing/sales team, because we do not need them). A chance to learn from industry veterans who have already launched multiple Billion Dollar Semiconductor firms over the last 3 decades. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community"

Principal IP/RTL Design Engineer for TPU Bangalore / Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/ Bangalore IP/RTL Design Engineer for TPU Position Overview Seeking an IP/RTL Design Engineer with 5+ years of experience to design IP/RTL for TPUs, focusing on high-performance matrix multiplication, low-latency interconnects, and power-efficient AI acceleration. Key Responsibilities Design IP blocks for TPU cores, including systolic arrays, vector units, and memory subsystems. Develop Verilog/SystemVerilog RTL for performance, timing, and area optimization. Implement high-speed interconnects (e.g., AXI, NoC) for TPU data pipelines. Optimize designs for high throughput, low latency, and power efficiency in AI workloads. Integrate LPDDR6, HBM3, DDR5, or chiplet-based memory interfaces. Support synthesis, timing closure, and FPGA prototyping and Design Verification team Document microarchitecture and design specifications. Required Qualifications Education: BS/MS in Electrical/Computer Engineering. Experience: 5-10+ years in ASIC/FPGA IP/RTL design, with 3+ years in AI accelerators or TPU-like architectures. Skills: Proficient in Verilog/SystemVerilog RTL design. Knowledge of TPU architectures, systolic arrays, or matrix multiplication units. Experience with AXI, NoC, or similar interconnect protocols. Familiarity with LPDDR6, HBM3, DDR5, or high-bandwidth memory interfaces. Proficiency with synthesis and timing tools (e.g., Synopsys Design Compiler). Strong problem-solving and teamwork skills. Preferred Qualifications Experience with AI/ML workloads or datacenter TPU designs and GPU architectures Knowledge of CXL, PCIe, UALink, or Ultra Ethernet. Familiarity with power optimization for high-performance chips. What is in it for you? Pure play product work environment Chance to work with a tightly knit group of exceptional engineers who come from the top companies of the Semiconductor world Our pay comprehensively beats "ALL" Semiconductor product players in the Indian market. A meritocracy first work place where each peer is a star A chance to be a part of industry shaping product in entirety (not bits and pieces) from initial stages A chance to work at a startup which already has customers and investor lined up for their product pipeline (We do not have a marketing/sales team, because we do not need them). A chance to learn from industry veterans who have already launched multiple Billion Dollar Semiconductor firms over the last 3 decades. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community"

Identify business opportunities for use of eng. plastics in various sub segments across target Industry (e.g Interiors, Exteriors, under-the-hood applications) Provide consultation to clients regarding selection of polymers Plastic Parts Health insurance Annual bonus Provident fund