vmal/jobs_dataset huggingface dataset:
{"title": "RTL Design Engineer, Google Cloud", "level": "Mid", "location": "Tel Aviv, Israel", "description": "In this role, you will use the ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate with design and verification engineers in projects, creating architecture definitions with RTL coding, and running block level simulations. You will contribute in all phases of complex Application-Specific Integrated Circuit (ASIC) designs from design specification to production. Additionally, you will collaborate with members of architecture, software, verification, power, timing, synthesis and etc to specify and deliver high quality SoC/RTL. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.", "salary": "", "key_qualifications": "Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience with digital logic design principles, RTL design concepts, and languages such as Verilog or SystemVerilog. Experience with logic synthesis techniques to optimize RTL code, performance and power as well as low-power design techniques.", "preferred_qualifications": "Experience with a scripting language such as Python or Perl. Knowledge of FPGA, emulation platforms, and SOC architecture. Knowledge of high-performance and low power design techniques. Knowledge of assertion-based formal verification. Knowledge of one of the following areas: arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies.", "responsibilities": "Define the block level design document such as interface protocol, block diagram, transaction flow, pipeline, etc. Perform RTL development (e.g., coding and debug in Verilog, SystemVerilog, VHDL), function/performance simulation debug, and Lint/CDC/FV/UPF checks. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Participate in test plan and coverage analysis of the block and SOC-level verification. Communicate and work with multi-disciplined and multi-site teams.", "company": "google"}
{"title": "Strategy Lead, Pixel Ecosystem", "level": "Mid", "location": "Mountain View, CA, USA", "description": "Product and Business Strategy Leaders bring together teams across Google\u2019s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.\n\nOur roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.\n\nThe Devices and Services Strategy and Business Operations team is looking for entrepreneurially minded individuals with a mix of business expertise, strategy and analytics backgrounds to optimize and scale up Google\u2019s Pixel business. This team is part of the central Platforms and Devices Strategy team, and works closely with the Google 1P Devices leadership team and organization. We are responsible for the Pixel product and business strategy, including our long-range outlook, and leverage deep insights and analytics from our sister team in driving Profit and Loss (P&L) decisions in partnership with Finance and our business counterparts.", "salary": "$139,000-$207,000 + bonus + equity + benefits", "key_qualifications": "Bachelor's degree or equivalent practical experience. 8 years of experience in management consulting, product management and strategy, or analytics in a technology company. Experience working with and analyzing data, and managing multiple projects.", "preferred_qualifications": "Advanced degree or equivalent practical experience. Experience leading complex operational and strategic initiatives. Experience with tech, hardware, or mobile industry. Familiarity with SQL.", "responsibilities": "Structure complex and ambiguous business issues for Pixel\u2019s device leadership and broader executive team. Gather and analyze large amounts of data and market intelligence quickly and problem solve effectively. Develop compelling, insightful, and actionable recommendations to executive audience. Build consensus among cross-functional teams and influence decision-making within leadership audiences. Work closely with product managers, leadership, and functions to operationalize recommendations.", "company": "google"}
title: Product Manager II, Trust and Safety, YouTube
level: Mid
location: San Bruno, CA, 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. 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.
key_qualifications: Bachelor's degree or equivalent practical experience.
5 years of experience in product management or related technical role.
2 years of experience taking technical products from conception to launch.
preferred_qualifications: Master’s degree or PhD in a technology or business related field.
3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
3 years of experience in a role preparing and delivering technical presentations to senior leadership.
2 years of experience in software development or engineering.
2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
1 year of experience in technical leadership.
responsibilities: Understand 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": "Business Intelligence Architect, Google Cloud Marketing", "level": "Mid", "location": "Seattle, WA, USA; Sunnyvale, CA, USA", "description": "Strategy & Operations (S&E) professionals in Google\u2019s Marketing organization provide business critical insights and analytics, ensure cross-functional alignment of goals and execution, and help teams drive strategic partnerships and new initiatives forward. Whether you are embedded within a specific marketing team to use insights to enable better marketing decisions or the global S&E function to equip the organization to succeed at scale...", "key_qualifications": "Bachelor's degree or equivalent practical experience. 5 years of analytics experience (i.e., BI, data engineering/science, etc.) using SQL. Experience with data analysis/modeling/architecture, or data quality governance. Experience working with cross-functional stakeholders (e.g., technical and non-technical).", "preferred_qualifications": "Experience with non-SQL development or analytics tools (i.e., object-oriented programming, R, Python, etc.) and Data Visualization. Experience with Enterprise Architecture and ability to translate ambiguity into a business/data taxonomy...", "responsibilities": "Gather business requirements from cross-functional stakeholders. Translate ambiguous business questions into concrete process models, scalable data models, and clear metric definitions/taxonomy. Produce production-data-warehouse quality SQL ETL. Be an excellent collaborator and technical project manager with the ablility to templatize technical architecture, scale BI development efforts through a supporting team of data engineers, and define standard best practices for reporting. Triage a large amount of user feedback and support requests to improve the warehouse, providing subject matter expertise and enablement to warehouse and downstream platform/visualization users, troubleshooting and resolving bugs, prioritizing feature requests, sending clear communications, and administrating change management across a large user base.", "company": "google"}
title: Hardware Validation Engineer, Google Pixel
level: Mid
location: Mountain View, CA, USA
description: The Pixel Platform team is responsible for Pixel platform hardware design excellence by leading system-level platform bench validation and performance optimization. You will contribute experience in hardware system design and verification, and knowledge of the overall system architecture of consumer electronics products. Additionally, you will define hardware system quality and validation strategy for new products in high-speed interfaces, signal/power integrity, system integration, user experience, etc.
key_qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Physics, or equivalent practical experience. 4 years of experience working in a consumer electronics technical environment with validation experience, or 3 years with an advanced degree.
preferred_qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field. Experience designing high speed digital or analog systems. Experience with design of cell phone baseband. Experience with embedded systems, processor selection... more details available.
responsibilities: Be responsible for ensuring the hardware system design integrity and quality optimization of Google Pixel platform designs. Lead cross functional collaboration in executing validation plans, troubleshooting issues, and documenting results to ensure product design quality and ecosystem performance. Lead complete design verification, signal characterization, power delivery and system interoperability testing. Defined comprehensive system level validation plans for the Pixel ecosystem. Lead cross-functional teams and drive issues resolution including those related to hardware architecture, system performance, production quality and overall system integration.
company: google
{"title": "Data Scientist III, Research", "level": "Mid", "location": "Mountain View, CA, USA", "description": "Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world.", "key_qualifications": "Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.", "preferred_qualifications": "5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.", "responsibilities": "Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.", "company": "google"}
title: Technical Program Manager III, Enterprise Reference Data, Corporate Engineering
level: Mid
location: São Paulo, State of São Paulo, Brazil
description: A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish...
key_qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience in enterprise data engineering or management (e.g., master data management, data warehousing, data analytics, business intelligence, visualization, data governance, data architecture, system integration).
preferred_qualifications: 5 years of experience managing cross-functional or cross-team projects. Experience in identifying, engaging, and influencing key stakeholders. Ability to establish and cultivate strategic partnerships. Excellent communication skills, with the ability to mediate and facilitate conversations.
responsibilities: Lead the implementation and ongoing management of the Enterprise Reference Data Management program. Collaborate with key stakeholders across the organization to ensure needs are met and that the program aligns with business objectives. Communicate program status, risks, and issues to executive management and stakeholders. Define strategic program ideas and roadmaps. Create and manage implementation plans including dependency mapping across multiple cross-functional teams.
company: google
{"title": "Data and AI Architect, Google Cloud", "level": "Advanced", "location": "Munich, Germany", "description": "The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative.", "key_qualifications": "Bachelor\u2019s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Candidates will typically have 9 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). Typically 9 years of experience coding with one or more programming languages (e.g., Java, Python). Experience in technical troubleshooting, and managing internal/external partners or customers. Experience with Data analytics and AI Cloud solutions (GCP). Experience in designing and deploying distributed data processing systems such as Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Teradata, Tableau.", "preferred_qualifications": "Experience in enterprise architecture, systems design, and architecting/explaining systems interactions in Data and cloud landscape for consulting. Excellent communication, presentation, and problem-solving skills. Ability to communicate in English and German fluently to communicate in this customer-facing sales role.", "responsibilities": "Help the customer define their data transformation strategy linked to Google Cloud. Drive customers through a review of required data capabilities to define the goal architecture. Understand key data services such as BigQuery, Dataflow, Dataplex, etc. Leverage Google Cloud/Professional Services Organization (PSO) available solution accelerators and frameworks, while problem-solving and acting as the bridge to product teams and specialists. Manage key stakeholders and multiple partners.", "company": "google"}
title: Technical Program Manager, Enterprise Platform Engineering
level: Mid
location: Taguig, Metro Manila, Philippines
description: A problem isn’t truly solved until it’s solved for all. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Our goal is to build a Google that looks like the world around us and we build diversity, equity, and inclusion into our work.
key_qualifications: Bachelor's degree in Engineering or equivalent practical experience. 2 years of experience in technical program management. 2 years of experience supporting a Salesforce production environment. 2 years of experience in debugging and troubleshooting Salesforce production support issues.
preferred_qualifications: Experience in supporting other third-party applications (e.g., Intellum, Contentstack, and Verint). Experience working with web technologies, API design and development, and back-end systems. Experience coding in Java or Python. Experience in designing, implementing, and testing applications, integrations, and systems.
responsibilities: Support enterprise platforms (both first-party and third-party) through participation in Oncall, complex issues troubleshooting, root cause analysis, and testing. Ensure the success and quality of operational processes by working closely with cross-functional organizational units. Manage various programs involving analysis and availability/efficiency improvements. Drive project delivery, technology reviews, challenge proposals, and build consensus.
company: google
{"title": "Software Engineer III, Mobile (iOS), Fitbit", "level": "Mid", "location": "Warsaw, Poland", "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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.", "key_qualifications": "- Bachelor\u2019s degree or equivalent practical experience.\n- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.\n- 2 years of experience with data structures or algorithms in either an academic or industry setting.\n- 2 years of experience with iOS application development.", "preferred_qualifications": "- Master's degree or PhD in Computer Science or related technical field.\n- Experience developing accessible technologies.", "responsibilities": "- Write product or system development code.\n- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n- 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.\n- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.", "company": "google"}
title: Practice Specialist, Vision
level: Advanced
location: Beijing, China
description: The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud.
key_qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 5 years of experience in image and video processing, object detection, segmentation, classification, and related algorithms. Experience with generative models for image and video synthesis, inpainting, style transfer, etc. (e.g., Imagen, Stable Diffusion). Experience with image and video editing techniques, including manipulation, augmentation, and retouching. Experience in Python.
preferred_qualifications: Experience working with cloud-based platforms (e.g., Google Cloud Vertex Platform). Experience in building image or video recognition systems (e.g., commercial or open source products). Experience working with models that combine vision and language understanding, such as CLIP, ALIGN, or similar. Experience with image and video processing.
responsibilities: Showcase the power and versatility of Google Cloud's Vision by guiding customers on integrating Google Cloud's Vision capabilities into their existing workflows and applications. Assist customers in fine-tuning and customizing pre-trained models to meet their specific use cases (e.g., object detection, image classification, video analysis). Create and deliver technical content (best practices, tutorials, code samples, presentations) to enable customers and internal teams to effectively utilize Google Cloud's Vision offerings. Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the latest trends in image/video processing.
company: google