vmal/jobs_dataset huggingface dataset:
{"title": "Design Verification Engineer, Security", "level": "", "location": "Bengaluru, Karnataka, India", "description": "Be part of a diverse 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.", "key_qualifications": "Bachelor's degree in Electrical Engineering or Computer Science, or equivalent practical experience. Experience with object-oriented programming, or equivalent practical experience. Experience verifying digital systems incorporating standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).", "preferred_qualifications": "Master's degree or PhD in Electrical Engineering or Computer Science. Experience creating and using verification components and environments in a standard verification methodology such as UVM. Experience with constrained-random verification techniques, System Verilog Assertions (SVA), and assertion-based verification. Experience with GLS, low-power DV, and support of SOC DV. Experience with performance verification of ASICs and ASIC components and experience with ASIC standard interfaces and memory system architecture. Experience verifying RTL using SystemVerilog.", "responsibilities": "Plan the verification of complex security IPs and Subsystem by fully understanding the design specification and interacting with architecture and design engineers to identify important verification scenarios. Create and enhance constrained-random verification environments using System Verilog and UVM. Identify and write all types of coverage measures for stimulus and corner-cases. Debug tests with design engineers to deliver functionally correct design blocks. Close coverage measures to identify verification holes and to show progress towards tape-out.", "company": "google"}
{"title": "Machine Learning GPU Performance Engineer", "level": "Mid", "location": "London, UK", "description": "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\u2019s 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.", "key_qualifications": "Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with performance, systems data analysis, visualization tools, or debugging.", "preferred_qualifications": "Master's degree or PhD in Computer Science or related technical field. 1 year of experience in a technical leadership role. Experience developing accessible technologies.", "responsibilities": "Identify and maintain LLM training and serving benchmarks that are representative to Google production, industry and ML community, use them to identify performance opportunities and drive XLA:GPU/Triton performance toward state-of-the-art, and to guide XLA releases. Engage with Google product teams such as Deepmind to solve their ML model performance problems, onboarding new LLM models and products on GPU hardware, enabling LLMs to train and serve efficiently on a very large scale (i.e., thousands of GPUs). Run architecture level simulations on GPU designs and perform roofline analysis to guide internal teams. Run performance benchmarks on GPU hardware using internal and external tools. Analyze performance and efficiency metrics to identify bottlenecks, design and implement solutions at Google fleetwide scale.", "company": "google"}
{"title": "Senior Product Manager, Marketing Engineering", "level": "Advanced", "location": "Hyderabad, Telangana, India", "description": "At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.  In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information.  We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will play a role in enhancing the marketing execution process for marketers, ensuring they have the tools and resources for their roles. You\u2019ll research with marketers to identify pain points, develop innovative solutions, and deliver a seamless user experience. You\u2019ll explore new solutions to the problems you identify to enable marketers across all Google products to reach users. The Core team builds the technical foundation behind Google\u2019s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google\u2019s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.", "salary": "", "key_qualifications": "Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience taking technical products from conception to launch. Experience with digital marketing campaign processes and media. Experience with marketing technology.", "preferred_qualifications": "Experience working with both internal engineering teams and external development partners. Experience integrating solutions (e.g., procurement, reporting and analytics).", "responsibilities": "Understand marketer problems and craft strategy to support them. Work collaboratively with engineering, marketing, legal, UX, and other teams to create a positive user experience. Define metrics to influence adoption. Explore new AI technologies to craft innovation solutions. Develop solutions to problems by collaborating as needed across regions, product areas, and functions.", "company": "google"}
{"title": "Customer and Partner Solutions Engineer, Digitization Services, gTech", "level": "", "location": "Ann Arbor, MI, USA", "description": "At gTech\u2019s Users and Products team (gUP), our mission is to help users get the most out of Google. We represent Google's users and many of our partners globally, sharing insights with the larger Google organization to enable exceptional customer and product experiences. gUP builds innovative solutions that take user experience and engagement with Google to the next level, supporting users across products, countries, cultures, incomes, and identities. We advocate for users through partnerships with product areas at Google (and some Alphabet businesses), supporting Google\u2019s consumer products ecosystem and enabling numerous launches for Google\u2019s consumer products each year. The Digitization Services team digitize content for Google Book Search, Google Arts and Culture, YouTube, Google Cloud and Google Hardware teams, to bring information to users, and to support Machine Learning development. Google creates products and services that make the world a better place, and gTech\u2019s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers\u2019 complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video.", "key_qualifications": "Bachelor\u2019s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\\nExperience coding with one or more programming languages (e.g., Java, C/C++, Python).\\nExperience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).\\nExperience in technical troubleshooting, and managing internal/external partners or customers.", "preferred_qualifications": "Master\u2019s degree in Engineering, Computer Science, Business, or a related field.\\n2 years of experience working with database technologies and data analytics (e.g., SQL, NoSQL).\\n2 years of experience in Linux/Unix, networking, and electronics.\\n2 years of experience delivering technical solutions to business problems in a semi-autonomous work environment.", "responsibilities": "Design, implement, test, and launch internal tools for gTech Digitization Services.\\nMaintain existing tools and hardware infrastructure in Book Scanning Operations and work with the regional technicians team.\\nDevelop internal databases, reports, and tools to support operations.\\nAnalyze work processes to determine inefficiencies and opportunities for automation.\\nCollaborate with a global team of Support Engineers, software developers, and operations staff to support a wide range of projects beyond book scanning.", "company": "google"}
title: Senior Product Manager, Technical Infrastructure, Google Cloud
level: Advanced
location: Sunnyvale, CA, USA; Atlanta, GA, USA
description: At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
key_qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
preferred_qualifications: Master’s degree or PhD in a technology or business related field. 3 years of people management experience with direct reports. Experience in storage, compute, networking, performance computing, and/or tools and infrastructure management. Experience managing technical and design direction. Knowledge of multiple functional areas (e.g., Product Management, Engineering, UX/UI, Customer Support, or Marketing). Ability to influence multiple stakeholders without direct authority.
responsibilities: Understand the cloud ecosystem, markets, competition, and user requirements in-depth. Launch new products and features, test their performance, and iterate quickly. Work collaboratively with engineering, marketing, legal, UX, and other teams on cutting-edge technologies. Develop solutions to problems by collaborating as needed across regions, product areas, and functions.
company: google
{"title": "Security Engineer, Trust and Safety", "level": "", "location": "Bengaluru, Karnataka, India", "description": "There's no such thing as a \"safe system\" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities. Our Trust and Safety team has the critical responsibility of protecting Google's users by ensuring online safety by fighting fraud and abuse across Google products like Chrome, Play, Gmail and Search. In this role, you are a big-picture thinker and strategic leader. You understand the user's point of view and are passionate about using your combined technical, problem-solving, and strategic acumen to protect our users. You work globally and cross-functionally with Google Engineers and Product Managers to navigate challenging online safety situations and handle abuse and fraud at Google scale.", "key_qualifications": "Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 3 years of experience with security in attacks and mitigation methods. 1 year of experience with Java.", "preferred_qualifications": "Master's degree in Computer Science or a related field. 2 years of experience in software reverse engineering, code-level security auditing, or Android system security. Experience with developing or analyzing Android apps. Familiarity with tools such as IDA Pro or OllyDbg.", "responsibilities": "Design solutions that enable automatic identification of harmful or unwanted Android applications. Analyze harmful or unwanted Android applications to understand their behavior and their impact on the Android ecosystem. Conduct investigations to identify new harmful behaviours, enforce product policies, and analyze distribution trends. Collaborate with cross-functional groups such as Engineering, Policy, and Legal to update policies, fix product loopholes, and provide users with a better mobile experience.", "company": "google"}
{"title": "Silicon SoC RTL Design/Integration Engineer, Google Cloud", "level": "Early", "location": "Bengaluru, Karnataka, India", "description": "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 Engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. In this role, you will develop new products, be versatile and passionate to take on new problems as we continue to push technology forward. As a member of the Digital Design team, you'll work on a networking project to craft the architecture for the current and future ASIC projects, and work with the verification and validation teams to ensure proper testing of features. You will work closely with the Google product teams to ensure their goals are met with the microarchitecture designs. You will also work with physical and manufacturing teams to ensure the designs are viable.", "salary": "", "key_qualifications": "Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 1 year of experience in ASIC development with Verilog/SystemVerilog, VHDL, or Chisel. Experience in networking, including working with Ethernet, TCP/IP, buffering, queueing, and scheduling. Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).", "preferred_qualifications": "Experience with scripting languages (e.g., Python or Perl). Experience in SoC designs and integration flows. Knowledge of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies. Knowledge of high performance and low power design techniques.", "responsibilities": "Define the microarchitecture of Subsystems or SoCs and work with the team to deliver a quality, schedule compliant design. Manage the architecture and microarchitecture of current and future generations of ASIC. Work closely with Physical Design teams to ensure success. Consolidate demands from Verification, Manufacturing and Product teams. Help drive internal and external users to vet architecture ideas.", "company": "google"}
{"title": "AI Sales Specialist III, Google Cloud", "level": "Advanced", "location": "Stockholm, Sweden", "description": "As an AI Sales Specialist III, you will grow our AI business by building and expanding relationships with new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply the impact of the team. You will partner with internal GCP Sales teams to grow their AI businesses and drive overall value for Google Cloud Platform (GCP). Google Cloud accelerates every organization\u2019s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google\u2019s 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.", "key_qualifications": "Bachelor's degree or equivalent practical experience. 10 years of experience in promoting IT business solutions and executing a territory sales strategy. Experience identifying and driving use cases to solve customer issues. Experience partnering with technical staff to build business cases and implementation plans.", "preferred_qualifications": "Experience working with and managing partners in complex implementation projects, including global system integrators and packaged software vendors. Experience in promoting the AI technology stack. Experience working with product teams and an understanding of how to embed technology into the product set. Familiarity with Google Cloud and Google Cloud AI offerings. Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader. Ability to drive business growth across a broad set of industry-specific AI/ML use cases.", "responsibilities": "Calibrate the business against objectives and key results. Forecast and report the state of the business for the territory. Build and maintain executive relationships with customers as the AI Subject Matter Expert, influence long-term strategic direction for new and existing customers, as well as the Google Cloud Field Sales Representatives (FSRs) and Customer Engineers (CEs). Assist customers in identifying AI use cases suitable for Google Cloud AI products and solutions. Articulate key solution differentiators and the measurable business impact. Develop and execute strategic account plans, including a broader enterprise plan across key areas. Work with Google Account and Technical teams to develop and drive pipelines, and provide expertise. Execute Go-To-Market (GTM) business strategy and related efforts with Google Cloud teams and GCP partners.", "company": "google"}
{"title": "Senior UX Research Manager, Google Ads", "level": "Advanced", "location": "Mountain View, CA, USA", "description": "As a User Experience (UX) leader, you help define and drive the future of Google design. You identify and set product strategy, envision complex UX ecosystems and inspire teams to push the boundaries of what\u2019s possible. You possess a clear vision of the future of user experience and have the courage to pursue forward-thinking design.", "key_qualifications": "Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience. 10 years of experience in an applied research setting, or similar. 5 years of experience leading design projects and managing people or teams. 3 years of work experience working with executive leaders. Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link and/or access instructions).", "preferred_qualifications": "Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. 15 years of relevant work experience, including experience integrating user research into product designs and design practices. 10 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above). 8 years of experience managing projects, and working in a large, matrixed organization. Strong understanding of the strengths and shortcomings of different research methods, including when and how to apply them during each product phase. Excellent working knowledge of statistics and the principles of experiment design.", "responsibilities": "Influence stakeholders across organizations to gain support for research-based, user-centric solutions. Own project priorities in alignment with larger product goals, and oversee allocation of resources within the project. Drive ideas to improve products and services through research-driven insights and recommendations. Lead teams to define and evaluate product, service, ecosystem impact. Own vision and strategy discussions through research by analyzing, consolidating, or synthesizing what is known about user, product, service, or business needs.", "company": "google"}