2646 Soc Jobs - Page 28

• 2–4 years of hands-on experience in a SOC or related cybersecurity role. • Working knowledge of SIEM tools such as Splunk, , QRadar, etc., for alert triage and log review. • Exposure to EDR tools SentinelOne.

Company: Reputed NBFC. Role: Cyber Defense Governance. Location: Mumbai. Responsibilities: Develop and maintain cyber defense governance frameworks. Design and manage cybersecurity KPIs and KRIs. Establish standardized incident reporting protocols, ensuring compliance with regulatory requirements. Act as the primary liaison between cybersecurity teams, risk management, compliance, and executive leadership Please share your resume on pranaya@rightmatch.co.in

Responsibilities: * Conduct threat analysis using SIEM, SOC tools on AWS/Azure/GCP clouds. * Monitor web apps with WAF, IPS; respond to incidents promptly. * Collaborate with security teams on incident response plans. Health insurance Provident fund

Role & responsibilities : Coordinate external audits and evidence collection related to SOC2, SOX, NIST Cyber Security Framework and other future frameworks. Perform vendor security evaluations of existing and new vendors. Manage and monitor the Risk Register. Collaborate with Engineering, Legal, and IT in maintaining and updating company security policies. Assist in completion of customer assurance activities, such as security questionnaires, RFIs or RFPs. Assist with Business Impact Assessments and Business Continuity Planning activities. Own our inventory initiatives regarding data storage and processing. Become a go to resource for being able to translate how the latest laws and regulations impact our technical teams. Preferred candidate profile : 6+ years of experience with security auditing and maintaining information security controls. Have 6+ years technical knowledge and understanding of networking, IaaS platforms, monitoring, auditing, alerting infrastructure, scripting. Have a working knowledge of SOC2 Trust Services Principles, SOX, GDPR, CCPA, NIST CSF, etc. Has already attained or interested in industry qualifications such as GRCP, GISF or CompTIA Security+ Have a passion for working in cyber security and governance, risk and compliance. Are experienced in evidence collection. Detail orientated and organised. Have experience completing customer security questionnaires in support of enterprise-level accounts. Are experienced in evaluating, leading and running business continuity and disaster recovery exercises. Working with tight deadlines and adept at multi-tasking. Seeks initiative and strives for continuous improvement.

Design Verification Engineer (Senior Level - 5+ years experience) Company: HCL Tech Job Summary: We are seeking a highly accomplished Design Verification Engineer (DV) to join our elite team and lead the verification efforts for our most critical ASIC and SoC projects. This senior-level position demands a mastery of verification methodologies and the ability to drive the development and execution of comprehensive verification plans. You will be responsible for ensuring the functional integrity and quality of our next-generation integrated circuits through innovative verification strategies. Responsibilities: Lead and define the overall verification strategy for assigned projects, leveraging advanced methodologies (UVM, Formal Verification) Architect and design robust verification environments (testbenches) to achieve exceptional code coverage and functional verification goals Utilize industry-leading verification tools (simulators, formal verification tools) to conduct thorough verification and analysis Debug and troubleshoot complex verification failures, identifying root causes and collaborating with design engineers for efficient resolution Mentor and guide junior DV engineers, fostering a culture of excellence and knowledge sharing within the team Champion best practices for verification code quality and participate in code reviews Stay at the forefront of the verification landscape by actively researching and adopting emerging tools and methodologies Provide technical leadership and contribute to the overall verification roadmap for the team Qualifications: Master's degree in Electrical Engineering, Computer Engineering, or a related field (highly preferred) Minimum of 5+ years of experience in Design Verification for complex ASICs and SoCs Proven track record of successfully leading and executing verification projects In-depth knowledge of digital design principles, advanced verification methodologies (UVM, Formal Verification), and best practices Expertise in Verilog and VHDL with a strong grasp of coding styles and optimization techniques Extensive experience with a broad range of verification tools (simulators, formal verification tools, scripting languages) Excellent leadership, communication, collaboration, and problem-solving skills Ability to manage multiple projects, prioritize tasks, and meet aggressive deadlines Benefits: Competitive salary and benefits package commensurate with experience and expertise Opportunity to lead and influence the verification of cutting-edge technologies Dynamic and challenging work environment with opportunities for professional growth and leadership development Recognition and rewards for outstanding contributions

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SOFTWARE SYSTEM DESIGNER 2 The Role This is an exciting role in which you will have excellent exposure to all the latest AMD (Advanced Micro Devices) technologies. Imagine yourself as part of the team which will deliver our next generation of our products or automation for many of our reference solutions.This is a phenomenal opportunity to work in an outstanding company like AMD. The Person You are a self-starter who is able to achieve successful outcomes in a non-hierarchical environment. Detailed oriented, you have the ability to multitask through planning/organizing. You have excellent communication and presentation skills and a passion to push the limits of software on innovative platforms. Key Responsibilities Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute), data science, Virtualization, and machine learning platforms in the world Define/develop/execute regression test models and track the results Drive innovation in production software environments Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming, ideally OpenCL, ROCm, CUDA, and OpenACC is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. Academic Credentials Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent Benefits offered are described: AMD benefits at a glance. ,

Position: Digital Head Semiconductor BU (Confidential Search) Location: Hyderabad / Chennai/Bangalore We are partnering on a confidential leadership mandate for a Digital Head to drive digital strategy, delivery excellence, and innovation across global semiconductor programs. Key Responsibilities: Lead and grow multi-disciplinary teams Semiconductor Digital Design (RTL, PD, DV, DFT) Own delivery of complex SoC/ASIC programs across global accounts Define capability roadmap, drive innovation in AI/ML + EDA Partner with sales, pre-sales, and engineering to shape go-to-market Ideal Profile: 15 to 25 years in semiconductor design, with 5+ years in senior leadership B.E./B.Tech in ECE/VLSI; M.Tech/MS preferred with 20+ years of experience Proven track record in RTL, DV, DFT, and EDA toolchains Must have Leadership experience Candidates currently or previously working in these companies would likely have relevant experience) Semiconductor Product/Design Companies: Engineering Services/Design Services Companies: EDA & IP Companies If you meet 80% of the requirement contact : bdm@intellisearchonline.net M 9341626895(whatsapp) Role & responsibilities

Job title: Associate Consultant (SOC) Location: Navi Mumbai Number of Vacancies: 1 Educational Qualifications: BE-IT / B Tech /BSc. Comps/ BCA or equivalent Key Skills: Cyber Security Incident Analysis and Response Experience: 2-4 yrs. Essential Duties and Responsibilities: Perform real time monitoring, incident handling, investigation, analysis, reporting, and escalations of security events. Integrate log sources with SIEM s create use cases. Identify suspicious/malicious activities through logs. Preparation of Incident tracker and follow-up with client IT team for mitigation. Communicate with the clients to resolve the queries related to incidents. Prepare s Review Daily, Weekly and Monthly Reports/Dashboard. Create s Review advisories and ensure organization is protected from latest threats s vulnerabilities. Work Experience Requirements: Understanding of Cyber Security Concepts and Incident Response framework and processes. Hands on experience in monitoring events and investigating incidents daily. Experience in identifying, analyzing, and responding to security incidents within defined SLA. Hands-on experience working on SIEM / EDR Tools like Crowdstrike, QRadar etc. Configuring use cases s creating playbooks for security monitoring will be an added advantage. Experience of working in a 24x7 Security Operations Center (rotational shifts). Good communication and collaboration skills. Team Management Skills.

Minimum qualifications: Bachelor s degree, or equivalent practical experience. 8 years of experience in software development in embedded domain, data structures, algorithms, and software design. 3 years of experience with design, development, and testing of embedded software drivers for the next generation smart devices. 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in people management. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with interface protocols (e.g., USB, SPI, I2C, UART, UFS, PCIe), power management, system integration including software stacks, and drivers. Experience with ARM or other low-power SoC architectures, memory system, fabric etc. Experience working with hardware designers/reading schematics. Knowledge of embedded systems development, RTOS concepts, device drivers and hardware/software integration. About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. As a Software Engineer in Firmware and Silicon, you will work across both hardware and software domains. Our vertically integrated team spans the entire stack, from hardware development through applications. You will manage a team of developers responsible for delivering firmware, libraries, and tools that support silicon validation and the productization of Google custom silicon. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Manage a team of developers to deliver firmware, libraries, and tools for silicon validation and productization of Google custom silicon. Develop new software, hardware, and system architecture to support future applications. Design, development, and testing of embedded software drivers for the next generation smart devices. Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience developing in C, Rust, or C++. 3 years of experience in software development for embedded systems, kernel drivers, or device drivers. 3 years of experience in testing and launching software products on embedded devices. Preferred qualifications: Experience in development with C, Rust or C++ for firmware applications. Experience in power-aware engineering practices. Experience with embedded operating systems (e.g., Linux, FreeRTOS, SafeRTOS, ZephyrOS, etc.). Experience in working with hardware register interfaces and device specifications. Experience with embedded software environments including constrained memory and code on ARM processors. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Develop firmware in C, C++, or Rust for embedded microcontrollers in System on a Chip (SoC) projects. Study hardware designs, prototype software based simulation, and engage in hardware/software co-design efforts to design and implement platform power management. Work with early hardware prototypes, emulation, software-simulation of SoC and subsystem designs to verify and enable functionality. Develop software based hardware simulations to allow early explorations of software/hardware interfaces and support early architecture decisions. Write production level firmware code, and support it through to product launch.

Minimum qualifications: Bachelor's degree in Electrical, Electronics or Computer Engineering, or equivalent practical experience. 5 years of work experience in development, testing and deployment of consumer electronics/embedded systems. Experience in Linux networking, including network packet filtering, network protocol acceleration (or display pipeline), camera front-end and sensor Linux drivers, and video codecs. Experience with embedded programming in C/C++. Preferred qualifications: Master's degree in Electrical, Electronics or Computer Engineering, or equivalent practical experience. Experience with ARM or other low-power SoC architectures, memory system, fabric etc. Experience with interface protocols (e.g., USB, SPI, I2C, UART, UFS, PCIe), power management, system integration, software stacks, and drivers. Knowledge of embedded systems development, RTOS concepts, device drivers and hardware/software integration. Knowledge of ARM, system BIOS, Linux kernel, device drivers. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. As a Software Engineer, Kernel and Firmware, Silicon, you will work on hardware and software. We are a vertically integrated team spanning from hardware through applications. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Design a software that can ultimately delight our application developers, and can let them make use of hardware accelerators seamlessly and in a timely manner. Implement and validate firmware and Linux drivers for optimal power and performance. Design, develop, and test embedded software drivers for next-generation smart devices. Define overall architecture in collaboration with stakeholders silicon architecture, silicon implementation, silicon software, and customer etc., to identify user experiences characteristics and how they can be mapped onto hardware in existence or in development. Lead in bug triage and optimize for power and performance etc.

Minimum qualifications: Bachelor's degree in Electrical, Electronics or Computer Engineering, or equivalent practical experience. 2 years of experience in development, testing and deployment of consumer electronics/embedded systems. Experience with Embedded Systems, Devices, C, C++, Kernel, Device Drivers, Linux, Firmware. Experience with embedded programming in C/C++. Preferred qualifications: Experience in Electrical, Electronics or Computer Engineering with competencies in Embedded domain, data structures, algorithms, and software design. Experience in working closely with hardware designers and reading schematics. Experience with Advanced RISC Machine (ARM) or other low-power SoC architectures, memory system, interconnects etc. Experience in Performance/power analysis and optimization. Knowledge of embedded systems development, Real-Time Operating System (RTOS) concepts, device drivers and hardware/software integration. Knowledge of Advanced RISC Machine (ARM), system BIOS, Linux kernel, device drivers. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Design software applications for developers, and let them make use of hardware accelerators seamlessly in a timely manner. Implement and validate firmware and Linux drivers for optimal power consumption and performance. Design, develop, and test embedded software drivers for the next generation of smart devices. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Write product or system development code.

Minimum qualifications: Bachelor's degree in Computer Science, Electronics or Electrical Engineering, or equivalent practical experience. 2 years of experience in C++ and data structures and algorithms. 2 years of development experience in C++. Preferred qualifications: Master's degree or PhD in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related field. Experience with Compilers. Experience in power and performance optimizations. Understanding of hardware, especially hardware that provides a high degree of parallelism. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We are the team that builds Google Tensor, Google s custom System-on-Chip (SoC) that powers the latest Pixel phones. Tensor makes transformative user experiences possible with the help of Machine Learning (ML) running on Tensor TPU. Our team s work enables Gemini Nano, our efficient AI model for on-device tasks to run on Pixel phones. Our goal is to productize the latest ML innovations and research by delivering computing hardware and software. In this role, you will work on developing ML compilers for the Tensor TPU to accelerate Generative AI and other machine learning models running on custom hardware accelerators. You will also manage project priorities, deadlines, and deliverables. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Build compilers and tools that efficiently map ML models with a particular focus on computing use cases to the hardware Instruction Set Architecture (ISA). Evaluate various trade-offs of different parallelization strategies such as performance, power, energy and memory consumption. Collaborate with machine learning researchers to constantly improve the domain specific compiler. Collaborate with hardware engineers to evolve future accelerators.

Minimum qualifications: PhD degree in Computer Science, a related technical field, or equivalent practical experience. Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python. Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization. Preferred qualifications: Experience with performance, reliability, systems data analysis, visualization tools, or debugging. Experience in code and system health, diagnosis and resolution, and software test engineering. Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems. Experience with performance, reliability, systems data analysis, visualization tools, architecture, compilers, database, data mining, networking or systems. Experience with Unix/Linux, Kernel development, microcontrollers, SoC, device drivers, hardware, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, or hardware/software integration. About the job Google Cloud's software engineers build the next-generation technologies that transform how billions of users connect, explore, and interact with information and each other. We're looking for engineers who bring fresh ideas across areas like information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, and natural language processing the list keeps growing. As a Software Engineer, you ll work on projects critical to Google Cloud s evolving needs, with the flexibility to move between teams and initiatives as both you and our business grow. You'll be empowered to think like an owner, proactively identifying customer needs, taking action, and driving innovation. We value engineers who are versatile, display leadership, and eagerly handle challenges across the full stack. Within Google Cloud, the Machine Learning, Systems, and Cloud AI (MSCA) organization creates category-defining AI/ML capabilities built on Google s frameworks, infrastructure, and services. We design and manage the software, hardware, and ML systems infrastructure that power Google services like Search and YouTube, and Google Cloud products. As a PhD Software Engineer in MSCA, your research expertise will help solve real-world problems at a massive scale. You'll collaborate on innovative projects in areas such as AI, ML, and distributed systems, contributing to products used by billions. With thousands of PhDs across Google, your academic background will be part of a strong community of researchers and engineers shaping the future of technology. We prioritize security, efficiency, and reliability in everything we do, from developing TPUs to operating one of the world s largest networks, while shaping the future of hyperscale computing. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide on available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Lead and collaborate on team projects to carry out design, analysis, and development across the stack using your research expertise. Study, diagnose and resolve complex technical modeling and systems issues by analyzing the sources of the issues and the impact on quality.

Minimum qualifications: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, a related field, or equivalent practical experience. 2 years of experience testing embedded software on SoC on Linux, Android, Real Time Operating System, or BareMetal, including experience with hardware architecture, board schematics, protocols and standards. 2 years of experience in testing and debugging embedded software. Preferred qualifications: Experience in coding (e.g., Python) and linear programming. Experience with writing tested and maintainable code. Excellent programming skills in Java, C/C++, or Java Native Interface (JNI). About the job At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services. You use your knowledge of testing and testability to influence better software design, promote proper engineering practice, bug prevention strategies, testability, accessibility, privacy, and other advanced quality concepts across products.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Deliver exceptional software quality for Intellectual Properties (IPs) within silicon software. Create and implement test strategies by working with development teams to identify risk areas and fill the testing gaps. Drive test automate using existing test frameworks and work with the Engineering Productivity team to enhance and develop new test frameworks based on test requirements. Establish Product and Engineering Excellence as a core value in test engineering and our associated development partners. Triage and analyze test results and incoming feedback to identify areas for improvement.

Minimum qualifications: Bachelor's degree in Computer Science, a related technical field or equivalent practical experience. 8 years of experience as a test engineer manager. 3 years of experience in hardware or embedded testing role. Experience in testing embedded software on SoC on Linux, Android or Real-Time Operating System including hardware architecture, board schematics, protocols and standards. Preferred qualifications: Experience with software development on Linux or Android. Experience in Docker and programming skills in Java, C/C++, JNI. Experience in working with prototype devices. About the job As a Software Test Engineering Manager who has embedded experience, you will guide the test team in all activities, implement testing strategies, promote software engineering standard procedures, and build out the testing infrastructure and test content. Our testing needs range from traditional software tests to complex on-device testing of full Android applications to embedded validation. You will manage a team of test engineers and work with teams that collaborate on common problems across products and across focus areas. As a result, you will have exposure to a broader set of problems. You will play a crucial part in Google's success by partnering with software developers and cross-functional partner teams to ensure that the products are thoroughly tested to the standards. Responsibilities Lead and own specific Embedded test domains within silicon software. Create and implement test strategies by working with development teams to identify risk areas and fill the testing gaps. Create test content for embedded modules such as Machine Learning accelerators, memory systems, CPU, peripherals, low power modes, virtualization and security. Automate tests using existing test frameworks and work with the Engineering Productivity team to enhance and develop new test frameworks based on test requirements. Mentor and coach other team members.

Minimum qualifications: Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. 5 years of experience with physical design. Experience with Python or C++. Experience with machine learning. Preferred qualifications: 10 years of experience in synthesis and physical design. Experience in various machine learning algorithms from logistic regression to neural networks and reinforcement learning. Understanding of algorithms and data structures. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. As a Machine Learning Engineer for the Google silicon organization, you will contribute to improving SoC Performance, Power, and Area (PPA) using machine learning techniques. You will apply your experience to solve technical issues and drive improvements in Power, Performance, Area, and Schedule. You will directly impact logic design and optimization, floorplanning, place and route, clock and power planning, timing analysis, Power Delivery Network (PDN) analysis, and more. You will collaborate across Alphabet, working with design, CAD, and machine learning teams. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Deploy Google s AI solutions into chip design, collaborating with internal teams, Google DeepMind, and other teams within Google to explore and apply solutions that improve chip design PPA or reduce cycle time.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Embedded systems, Very-Large-Scale Integration (VLSI), Computer science or equivalent practical experience. Experience in embedded software or test engineering practices and using lab equipment. Experience in authoring automated android/linux based test plans and test scripts. Experience with the architecture of kernel and High level operating systems (HLOS) (e.g., Android, Linux). Experience with programming in C/C++, Bash, Python. Experience with using debugging tools like Open On-Chip Debugger (OCD) or Joint Test Action Group (JTAG) with Continuous Integration/Continuous Deployment (CI/CD) workflows. Preferred qualifications: Master's degree in Electrical Engineering, Embedded systems, VLSI, Computer science or equivalent practical experience. Experience with software development in Android Software Development Kits (SDK) or Native Development Kit (NDK). Experience in working with software configuration management (SCM) solutions. Experience in managing test board. Knowledge in the architecture of hardware like central processing unit (CPU), Graphics Processing Unit (GPU), Memory or Peripherals. About the job At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services. You use your knowledge of testing and testability to influence better software design, promote proper engineering practice, bug prevention strategies, testability, accessibility, privacy, and other advanced quality concepts across products. In this role, you will be part of a research and development team developing software to validate System on a chip (SoC) products. You will provide on-site debug support to isolate test content failures. You will develop ad-hoc test scripts to accelerate Product Development and Test Engineering (PDTE) debug (e.g., launch chrome without WiFi). You will also Identify and troubleshoot test setup issues. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Test validation software device drivers, libraries, and tools for silicon validation of Google custom silicon on android and other Operating Systems (OS). Review test platforms based on hardware, software or architecture requirements. Develop or modify test scripts as per product and customer requirements. Plan, execute and report validation cycles and coordinate with multidisciplinary teams (e.g., hardware or software) throughout the testing process. Participate in debug cycle to achieve test failure Root Cause Analysis (RCA) and perform at first-level debug and troubleshooting with test equipment.

Minimum qualifications: Bachelor's degree in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or equivalent practical experience. 3 years of experience in software development in the area of consumer electronics or other embedded systems. 2 years of experience driving application-specific integrated circuit (ASIC) architecture , OS kernel, system on a chip (SoC) architecture, power and performance analysis. Preferred qualifications: Master's degree or PhD in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or equivalent practical experience. 5 years of experience in software design and development for software layers found in SoC (e.g., bootloaders, kernel, hypervisor, secure monitor, device drivers and embedded firmware). Experience with Android and any Real-time OS. Knowledge of interaction types between hardware and software for different types of standard hardware blocks, CPU, and accelerators. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The Silicon Software team has the long term charter to develop software for a variety of custom silicon being developed within Google. This includes IP for many diverse applications. We are working generations ahead of the market to enable groundbreaking features. In this role, you will be involved in developing software across a few domains such as platform software (BSP, firmware, drivers) delivered to our customers, silicon validation software to be used in the pre-silicon, and post-silicon validation, compilers, drivers, runtime, embedded firmware and tools in the machine learning domain, security architecture and systems, system power and performance, related engineering productivity and test engineering activities.Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities Collaborate with stakeholders to identify user experiences characteristics and how they can be mapped onto hardware and software. Design architecture and software interfaces that enable application developers to make use of hardware accelerators and other IP. Understand interactions between hardware components, identify issues and bottlenecks, provide trade-off options and drive them to resolution. Help design or improve hardware from generation to generation based on lessons learned from productization efforts, and to reduce technical debt.

Minimum qualifications: Bachelor's degree in Electronics, Computer Science, a related field, or equivalent practical experience. 2 years of experience in a hardware or embedded testing/automation role. Experience testing embedded software on SoC on Linux, Android or Real-Time Operating System. Preferred qualifications: 5 years of experience in a hardware or embedded testing/automation role. Experience in Linux kernel driver test automation and framework development. Experience in Android application development. Excellent programming skills in modern Python. Excellent programming skills in Java, C/C++, JNI. About the job Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Take ownership of delivering exceptional software quality for one or more Intellectual Property (IP) within silicon software. Create and implement test strategies by working with development teams to identify risk areas and fill the testing gaps. Drive test automation using existing test frameworks and work with the Engineering Productivity team to enhance and develop new test frameworks based on test requirements. Cultivate Product and Engineering Excellence as a core value in test engineering and our associated development partners. Triage and analyze test results and incoming feedback to identify areas for improvement. Guide, mentor, and coach other team members with regards to process technology.

Minimum qualifications: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Experience with Android Operating System (OS) or other OS. Experience in software development on silicon platforms characterizing power/performance and thermal. Preferred qualifications: Master's degree in Science, Electronics, Computer Engineering or Computer Science. Knowledge of the impact of software and architectural design decisions on power and thermal behavior of the system (e.g., System/SoC or IP Power state management and scheduling, cross-layer policy design). Knowledge of system software components such as Linux, device drivers, and runtime. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Perform power and performance analysis of hardware IP, System System on a chip (SoC) and use cases to meet the goals. Perform workload analysis, modeling and system analysis for power or performance and thermal. Analyze, develop, and debug pre-silicon and post-silicon application power/performance. Produce detailed documents for the proposed implementation. Produce detailed trade-off analysis for engineering reviews and product roadmap decisions.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience in ASIC development with Verilog/SystemVerilog, VHDL. Experience with ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Experience in micro-architecture and design of subsystems. Preferred qualifications: Experience in SoC designs and integration flows. Experience with scripting languages (e.g., Python or Perl). Knowledge of high performance and low power design techniques. Knowledge of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies. About the job In this role, you ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. You will be part of a team developing ASICs used to accelerate and improve traffic in data centers. You will collaborate with members of architecture, verification, power and performance, physical design, etc. to specify and deliver quality designs for next generation data center accelerators. You will solve technical problems with innovative micro-architecture and logic solutions, and evaluate design options with complexity, performance, power and area in mind. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Own microarchitecture and implementation of subsystems in the data center domain. Work with Architecture, Firmware, and Software teams to drive feature closure and develop microarchitecture specifications. Perform Quality check flows like Lint, CDC, RDC, VCLP. Drive design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams. Identify and drive power, performance and area improvements for the domains owned.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 3 years of experience in ASIC/SoC development with Verilog/SystemVerilog. Experience in micro-architecture and design of IPs and subsystems. Experience with ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Preferred qualifications: Experience with programming languages (e.g., Python, C/C++ or Perl). Experience in SoC designs and integration flows. Knowledge of arithmetic units, processor design, accelerators, bus architectures, fabrics/NoC or memory hierarchies. Knowledge of high performance and low power design techniques. About the job In this role, you ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. You will be part of a team developing SoCs used to accelerate machine learning computation in data centers. You will solve technical problems with innovative and practical logic solutions, and evaluate design options with performance, power, and area in mind. You will collaborate with members of architecture, verification, power and performance, physical design and more to specify and deliver high quality designs for next generation data center accelerators. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Own implementation of IPs and subsystems. Work with Architecture and Design Leads to understand micro-architecture specifications. Drive design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams. Identify and drive Power, Performance, and Area improvements for the domains.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 5 years of experience in High Bandwidth Memory/Double Data Rate (HBM/DDR). Experience in silicon bringup, functional validation, characterizing, and qualification. Experience with board schematics, layout, and debug methodologies with using lab equipment. Preferred qualifications: Experience in hardware emulation with hardware/software integration. Experience in coding (e.g., Python) for automation development. Experience in Register-Transfer Level (RTL) design, verification or emulation. Knowledge of SoC architecture including boot flows. Knowledge of HBM/DDR standards. About the job In this role, you ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will be responsible for post-silicon validation of the Cloud Tensor Processing Unit (TPU) projects. You will create test plans and test content for exercising the various subsystems in the Artificial Intelligence/Machine Learning (AI/ML) System on a Chip (SoC), verify the content on pre-silicon platforms, execute the tests on post-silicon platforms, and triage and debug issues. You will work with engineers from architecture, design, design verification, and software/firmware teams. You will be validating the functional, power, performance, and electrical characteristics of the Cloud Tensor Processing Unit (TPU) silicon to help deliver high-quality designs for next generation data center accelerators.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Develop and execute tests for memory controller High Bandwidth Memory (HBM) post-silicon validation and on hardware emulators and assist in bring-up processes from prototyping through post-silicon validation. Drive debugging and investigation efforts to root-cause, cross-functional issues. This includes pre-silicon prototyping platforms as well as post-silicon bringup and production. Ensure validation provides necessary functional coverage for skilled design. Help operate and maintain our hardware emulation platform for pre-silicon integration and validation.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience 5 years of experience in a hardware or embedded testing/automation role Experience testing embedded software on SoC on Linux, Android or RTOS Experience working hardware architecture, board schematics, protocols and standards Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture Experience working with prototype devices Experience with Android application development Knowledge of Linux kernel driver test automation and framework development Strong programming skills in modern Python Programming skills in Java, C/C++, JNI About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Own the delivery software quality for one or more IPs within silicon software. Create and implement test strategies by working with development teams to identify risk areas and fill the testing gaps. Drive test automate using existing test frameworks and work with the Engineering Productivity team to enhance and develop new test frameworks based on test requirements. Guide, mentor, and coach other team members with regards to process technology. Analyze test results and incoming feedback to identify areas for improvement.