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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. What You'll Do: Develop backend application services and APIs. Integrate systems with AWS and external cloud services. Optimize backend components for speed and scalability. Implement and manage caching, queuing and background processing. Participate in code reviews, technical design discussions and architecture decisions. Be an active member of an agile engineering team who is continuously looking to improve team performance. Work with leading cloud technologies (such as AWS, GCP). Work with leading open-source technologies (such as MySQL, PostgreSQL, ELK stack, Sentry, Redis, Git, etc.). Leverage modern AI tools and practices to increase developer productivity. Participate in periodic on-call duties. What You’ll Bring: 2+ years demonstrated experience developing scalable and robust software. Passion about software engineering, be strongly driven to build and run real-world applications at scale. Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world. Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others. Experience with SQL databases (MySQL, PostgreSQL), including schema design, query optimisation and migrations. Experience with microservices, caching tools, data visualization, log collection and aggregation, search, queuing systems. Experience with Linux environment and shell scripting. Excellent debugging and problem solving skills. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office!#LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group builds the software that enables large‑scale quantitative research at the core of WorldQuant’s platform. We are embarking on a multi‑year effort to develop a powerful, scalable, and efficient platform that will support the firm’s growth over the next decade. We are looking for someone who can take ownership of complex technical challenges and bring strong experience, judgment, and perspective to the team. What You’ll Bring: At least 7 years of experience writing production‑quality Python code on Linux Willingness to learn C++ is required; prior experience with C++ is a strong plus Strong interest and motivation to work with machine learning, deep learning, and backtesting platform design and development(Prior experience is not required but is considered a strong plus) Solid understanding of Linux system programming fundamentals Proven ability to design and develop large‑scale, distributed systems Strong knowledge of data structures, algorithms, high‑performance application design, and concurrency patterns Self‑motivated and able to work independently with minimal guidance Proficiency in English Nice to Have: Systems for managing and performing computation on large‑scale graph data Streaming or dataflow systems Experience in financial services (not required) What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office!#LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The team focuses on functional and requirements verification of advanced chips, with an emphasis on the latest data transmission technologies. This is a niche, cutting‑edge area at Marvell, offering broad exposure and collaboration with global internal and external experts. What You Can Expect - Verify and validate functionality on Marvell products using Emulation Systems.- Collaborate with design teams to understand standards and design specifications and translate them into effective test scripts.- Develop comprehensive test documentation, including test plans, test procedures, and test methodologies, to ensure compliance with requirements and standards.- Perform automation and manual testing using C++, Python, TCL, and Bash.- Architect, develop, and maintain scalable test automation frameworks in Python and C++, enabling efficient regression and long-term maintainability.- Analyze, debug, and resolve issues identified on the Emulation System. What We're Looking For - Deep, hands‑on expertise in telecommunications systems and data transmission architectures.- 5+ years of hands‑on experience in test automation and programming.- Knowledge of Verilog and SystemVerilog; advanced debugging experience using Verdi and Visualizer is a strong plus.- Expert proficiency in Python and C++, with solid working knowledge of Bash, TCL, Git, and Linux environments.- Demonstrated ability to own complex technical areas, manage multiple priorities, and deliver results with minimal supervision.- Strong analytical, problem‑solving, and cross‑team collaboration skills.- Clear and effective communication in English, both written and verbal. Additional Compensation and Benefit Elements Competitive salary, plus 13th-month salary and performance-based bonusRSUs (Restricted Stock Units) for new joiners and on-going annuallyPremium health accident insurance for you and your family (spouse and children)Annual medical check-up at a designated hospital arranged by MarvellGenerous paid leave policies: 15 annual leave days, 3 Recharge periods per year (company-wide off-work from Friday to Monday), 5 paid sick leave days, 3 days of volunteer time-off and 11 public holidaysExciting Employee Events: Participate in fun activities throughout the year such as team birthdays, sports tournaments, company trips, mid-autumn, appreciation week, charity, health seminars, year-end party, and more. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. Job Summary: We are seeking a highly motivated and detail-oriented Analog Mixed-Signal CAD Engineer to join our design automation team. In this role, you will develop, maintain, and support CAD tools and design flows for analog and mixed-signal IC design. You will work closely with circuit designers, layout engineers, and EDA vendors to ensure efficient and robust design environments. Key Responsibilities: Develop and maintain analog/mixed-signal design flows using industry-standard EDA tools (Cadence Virtuoso, Spectre, etc.). Automate design tasks using scripting languages (e.g., Python, SKILL, Tcl, Perl). Support schematic, layout, simulation, and verification environments. Collaborate with design teams to understand requirements and improve design productivity. Integrate and validate PDKs (Process Design Kits) and technology files. Provide documentation, training, and support for CAD tools and flows. Interface with EDA vendors to evaluate and deploy new tools and features. Monitor and resolve CAD tool issues, ensuring high availability and performance. Required Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field. 3+ years of experience in analog/mixed-signal CAD or EDA tool development. Strong knowledge of analog/mixed-signal IC design methodologies. Proficiency in scripting languages such as SKILL, Python, Tcl, or Perl. Experience with Cadence Virtuoso, Spectre, and AMS simulation environments. Familiarity with PDK integration and technology file management. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience with digital-on-top (DoT) or mixed-signal verification flows. Knowledge of version control systems (e.g., Git, Perforce). Familiarity with Unix/Linux environments and shell scripting. Exposure to advanced process nodes (e.g., 7nm, 5nm). We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Optical PHY (CE-OPHY) team designs high-speed and optical transceivers for communication infrastructure in long-haul, metro and datacenter. We address the bandwidth, capacity and power issues faced by cloud computing, mega data centers that powers the social media giant platforms. Our innovative approaches have resulted in the company’s products being first to market in many of key areas, developing the most advanced chips and subsystems solutions to address the ever-increasing demand of higher data rates driven by video-on demand, gaming and other real time data streams. We are seeking talented individuals to work on solving technical challenges with the most outstanding group of collaborators in the industry. Join our team of experts and make a difference in an exciting career opportunity. What You Can Expect Analog/Mixed-Signal IC Design Support the design and drive efficiency of analog blocks such as PLLs, regulators, buffers, and SERDES circuits.Use industry-standard tools (e.g., Spectre, Virtuoso, MATLAB, python) and assist in analyzing performance trade-offs.Drive processes to automate correlation of simulation results with silicon data in lab environments. AI Systems and Hardware-Aware Modeling Explore AI workflows and develop scripts/models that assist in IC calibration, prediction, or optimization.Contribute to prototyping and automation tasks involving Python, PyTorch, or other ML frameworks. System Integration Automation Participate in cross-functional work that brings together hardware, software, and algorithm layers. What We're Looking For Education Experience:Master’s degree and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, with 5+ years experience in analog/mixed-signal IC design and demonstrated expertise in applying AI/ML techniques to engineering workflows. Technical Expertise: Hands-on experience in designing mixed-signal circuits such as ADCs, DACs, RX/TX, PLLs, filters, bandgap bias circuits, regulators, and other analog blocks.Knowledge of deep sub-micron CMOS technologies, low-power, and high-speed design techniques.Proven ability to integrate AI/ML methods into analog/mixed-signal design processes for optimization, modeling, or automation.Solid understanding of signal processing, control theory, and/or convex optimization.Experience with IC design CAD tools (Cadence, Spectre, SPICE, Verilog) and AI frameworks (PyTorch, TensorFlow). Software Scripting Skills: Proficiency in Python and MATLAB for scripting, data analysis, and visualization.Familiarity with AI workflows and experience developing scripts/models that assist in IC calibration, prediction, or optimization. Additional Skills: Excellent problem-solving and analytical skills.Strong communication skills and ability to collaborate across multidisciplinary teams.Lab testing experience for prototype evaluation and silicon correlation. Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

About the ProgramAt Bosch, we empower young talents to learn by doing.Our 6-month internship (02 July - 25 Dec) offers real-world experience in a global technology environment, helping students turn classroom knowledge into hands-on impact. Locations: Ho Chi Minh CityInternship Model: Full-time or at least 4 days/weekApplication Period: 04 May - 08 June What You’ll Do Explore how software engineering teams transform ideas into real software solutions through analysis, design, and development.Learn modern frameworks, coding principles, and agile methods.Participate in integration, debugging, and validation activities.Contribute to documentation and knowledge sharing. Depending on your specialization and interest, you may apply for one of the following internship tracks/ internship positions: DevOps (Cloud, CI/CD)EMB (EMB C/C++/ Python, Linux)AI (ML/NLP/DL/CV, GenAI)SW Testing (Selenium)Fullstack (Python/Django/React, Python/.Net/Java/Nodejs, Javascript/ReactJS/NodeJS) Qualifications: 3rd or final-year student in IT, Computer Science, Electronics, Mechatronics, or related fieldsOfficial university recommendation letter with stamp (mandatory)Basic understanding of Software Development Life-cycle, good at teamwork and problem-solvingAble to communicate in EnglishCommitment: full-time or at least 4 days/week Important note: Graduates or applicants who cannot submit an a university recommendation letter (with official stamp from university) are not eligible to apply.Due to the high number of applications received, only shortlisted candidates will be contacted. Internship Benefits Learning Opportunities at Bosch Monthly Internship Allowance, plus Meal and Parking support. 1 paid leave day + 1 sick leave day for each internship month. 1 birthday leave day if your birthday falls during the internship period. Accident insurance provided throughout the internship. Opportunity to observe and engage in international projects and innovation. Access to our diverse training programs which surely help strengthen both your personal and professionalism. Participation in various company activities such as football, yoga, badminton, and team building.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration. What You'll Do: Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale Architect data storage and processing solutions, including schema design, query optimization, and data modeling Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries Take ambiguous requirements and break them down into deliverable, well-engineered solutions Diagnose and resolve complex production issues - applying strong analytical and systems thinking Improve engineering practices: testing, CI/CD, observability, and documentation What You'll Bring: 8+ years of professional software development experience Strong programming proficiency: Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code System design: Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies Data engineering: Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing Database proficiency: Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization Software engineering depth: Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory API design: Experience designing clean, well-documented REST/gRPC APIs Incident response mindset: Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation Nice to Have: Python mastery: Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations Observability and distributed tracing: Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production DevOps practices: Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform) Programming language versatility: Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering Team leadership and management: Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations Message queues and streaming: Experience with Kafka, Redis, or similar event-driven architectures Data orchestration: Exposure to Airflow or similar workflow orchestration frameworks Frontend / full-stack awareness: Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards Financial services or quantitative finance background Open-source contributions or a public portfolio of technical work What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

We seek an experienced Analytics Engineer who will be in charge of (1) building automation solutions for analytics processes; and (2) optimization and maintenance of local data pipelines to ensure analytics efficiency and governance.  The Analytics Engineer will work closely with Functional BI teams and business users to understand the data logic and workflow, then architect and build solutions to automate the data flow and manual tasks.  AutomationPartner closely with stakeholders across business units and Functional BI teams to understand their challenges and translate requirements into technical solutionsDrive process automation by developing intelligent tools for eKYC processing, tax validation, and other critical business operationsData EngineeringBuild robust data foundations by designing and implementing scalable ETL processes that seamlessly extract, transform, and load data from our internal platformsArchitect data pipelines that integrate smoothly with existing systems and power automated workflows across the businessOptimize data infrastructure including local tables, data models, and data mart architecture for peak performance and reliabilityAnalytics Modelling Implementation and MaintenanceImplement and maintain predictive analytics and automated data processing solutionsWrite SQL queries and Python code that support features engineering and EDA in complex datasetsData Quality and GovernanceMaintain code quality through disciplined source control practices, branch management, and collaborative code reviewsEnsure system reliability by monitoring, troubleshooting, and optimizing data pipeline performance

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. Job Summary: We are seeking a talented Senior Design Verification Engineer to join our team. The ideal candidate will play a key role in verifying the functionality and performance of our digital and mixed-signal designs. You will work closely with the design and development teams to create and execute comprehensive verification plans, ensuring the robustness and reliability of our products. Key Responsibilities: Develop and implement test plans and testbenches for verification of sub-blocks in high-speed Ethernet, UALink, PCIE PHY (64b/66b Encoder/Decoder, FEC encoder/decoder, DSP, FFE, DFE, MLSD). Identify, document, and debug functional issues found during verification, collaborating with design engineers for resolution. Develop and apply coverage models to ensure thorough validation of the design. Work closely with architects, designers, and software teams to comprehend the design architecture and contribute to high-level verification strategy. Stay up-to-date with industry best practices and emerging tools for design verification. Qualifications: Bachelor’s in Electrical Engineering, Computer Engineering, or a related field. 2+ year of experience in DV. Strong proficiency in verification languages such as System Verilog, UVM (Universal Verification Methodology). Experience with simulation tools (e.g., Cadence Xcelium, Synopsys VCS, or Mentor Graphics QuestaSim). Familiarity with scripting languages such as Python, Perl, or Shell scripting for automation purposes. In-depth understanding of digital design principles, verification methodologies, and industry-standard protocols. Excellent analytical, debugging, and problem-solving skills. Strong teamwork and communication abilities. Pay and Benefits Competitive salary. Performance bonus each year. Flexible working time. Health check each year. Insurance for engineer and family. Lunch Allowance. Company trips. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

For Singapore Applicants:Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.For Vietnam Applicants:Please visit this Google Careers posting for the Vietnamese-translated version of this role.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Singapore; Ho Chi Minh City, Ho Chi Minh, Vietnam.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). Experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal or external partners, or customers. Ability to communicate in English fluently to manage the local regional stakeholder relationships. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience working with database technologies (e.g., SQL, NoSQL). Experience working with systems (e.g., Linux, Unix). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience in an investigative role such as business intelligence, data analytics, or statistics. Ability to communicate in Mandarin or Vietnamese fluently fluently to support client relationship management in this region. About the jobgTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities. Responsibilities Work with clients to understand their objectives and issues, identify technical gaps, and surface opportunities for solution reuse or innovations. Design and implement solutions that meet client needs and are compliant with data and legal policies. Understand the nuances of clients within the industry and develop subject matter expertise in trending spaces. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.