Cari Lowongan

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. 5 years of experience with software development in C or C++. Experience in software optimization for performance and power on embedded systems or SoCs. Preferred qualifications: Experience in data structures and algorithms. Experience in optimizing high-throughput computational workloads through hardware-software co-design. Experience with GPU programming (e.g., OpenCL, Vulkan Compute) or DSP-specific optimization. Experience in low-level programming and debugging for processor architecture (e.g., ARM, x86, DSP). Knowledge of operating system internals and their impact on system performance. Knowledge of computer architecture, including memory hierarchies and pipeline designs. About the jobGoogle'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 and optimize software solutions for Google SoCs across various processing units (e.g., CPU, GPU, DSP), ensuring performance and power efficiency of Pixel products. Design and implement highly optimized software components using low-level programming for various hardware architectures. Leverage hardware acceleration and parallel processing features to optimize compute-intensive workloads and algorithms. Conduct workload performance analysis and identify issues across the hardware/software stack to drive continuous efficiency improvements. Contribute to the architectural design of future Google SoCs by providing software optimization knowledge to shape hardware/software integration. 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 15 years of experience with silicon digital design/architecture. Experience with two or more of the following: CPU, GPU, ISP, display, video codecs, memory controllers, fabrics, compression, storage, one-time programmable memory (OTP), interrupts, interfaces, debugging/profiling mechanism, power management system. Preferred qualifications: Master’s degree or PhD in Computer Science, Electrical Engineering or a related field. 18 years of industry experience. Experience with processor core architectures (such as ARM, x86, RISC-V, etc.) and IPs commonly used in SoC designs. Experience analyzing multi-IP workload use cases, tools, and simulators at different abstraction levels (cycle accurate, TLM, or functional). Experience designing/implementing or validating RTL for CPU, GPU, fabric, memory, caches, camera, video, display, and access control elements. Knowledge of hardware performance monitors or profiling, power management and optimization, and with OS, firmware, software stack, OpenGL, OpenCL, Java, Codec. About the jobBe 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. In this role, you will collaborate with software and hardware architects to explore Platform and Chassis trade-offs in Tensor SOC. You will develop and use analytical tools, simulation, emulation, and post-silicon measurements to perform holistic analysis of large complex ASIC designs. You will influence current and next generation SOCs in the product lineup, and play highly visible roles from ideation through mass production of our SOCs. As part of this work, you will participate in the development of exceptional technologies in fabric, memory, etc., and filing associated patents.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 Impact and influence multiple stages of the SOC lifecycle, from ideation and concept through tapeout, bringup and mass production. Participate in architectural design and evaluation of future ASIC designs. Participate in creating architectural specifications for ASIC. Optimize top-level architectural definition to handle complex multi-IP flows. Communicate the analysis results in both qualitative and quantitative fashion. Develop modeling simulators and architectural models of various subsystems within an ASIC to evaluate interactive and novel workloads. 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.

Introduction to the jobWe are looking for a highly skilled Senior Algorithm Engineer with deepexpertisein image processing and computer vision, who can act as a senior individual contributor and drive algorithm development for complex industrial imaging applications.This role focuses on technical ownership rather than people management. The ideal candidate has experience tackling challenging imaging problems—such as fingerprint recognition, optical inspection, PCB defect detection, machine vision, or autonomous driving perception—andis capable of shapingalgorithm direction, collaborating across domains, and delivering production‑level solutions.Experience with E-Beam is notrequired. We value strong algorithmic thinking, industrial problem‑solving ability, and the capability to influence technical outcomes.Work model: Hybrid (2 WFH + 3 onsite days per week)Role and responsibilitiesTake technical ownership in developing advanced image processing and computer vision algorithms for industrial applications.Drive algorithm development across the full lifecycle: prototyping, validation, optimization, deployment, and long-term maintenance.Address complex imaging challenges in real‑world environments, ensuring robustness, accuracy, and performance.Collaborate with cross-functional teams (software, hardware, SEM, application, customer teams) to define requirements and translate them into clear algorithm specifications and architecture.Produce high‑level design documents, decision records, and algorithm specifications.Engage in technical discussions with customers and global stakeholders to understand use cases and propose algorithmic solutions.Conduct code reviews, model reviews, and performance optimization in C++/Linux environments.Troubleshoot algorithm behaviors, integration issues, or performance bottlenecks.Required QualificationsMaster’s degree or above in Computer Science, Electrical Engineering, or related fields. PhD is considered equivalent to 5–6 years of industry experience.8+ years of experience in image processing, computer vision, pattern recognition, or related algorithm development.Demonstrated experience in complex industrial imaging, such as: Fingerprint recognition/Optical inspection (AOI)/PCB defect detection/Machine vision/Autonomous driving perceptionStrong proficiency in C++ and solid development experience in Linux environments.Proven ability to act as a senior individual contributor and drive technical direction without formal people management responsibilities.Effective communication skills for working with cross-regional teams, including regular meetings with US stakeholders (mostly during daytime; occasional early 07:30 calls).Preferred QualificationsDeep learning experience applied to industrial imaging: Feature extraction, correlation, matching/Defect inspection/Image quality enhancement/Image alignment/CNN / GAN / Transformer‑based modelsFamiliarity with performance optimization: SIMD, CUDA, OpenCL, embedded acceleration, or system-level optimization.Experience deploying algorithms to production environments and improving robustness, stability, and performance over product lifecycle.SkillsStrong analytical and problem‑solving ability for tackling ambiguous and complex imaging scenarios.Clear and structured communication skills for cross‑functional collaboration.High level of self‑discipline, ownership, and ability to drive tasks independently.Ability to influence technical decisions without direct people management responsibilities.Work EnvironmentDepartment: HMI DE / Software EngineeringTeam size: 20+ and expandingWork model: Hybrid (2 WFH + 3 onsite days per week)Location: HsinchuThis position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. 5 years of experience with cloud infrastructure. 5 years of experience in a technical role focused on AI infrastructure, GPU programming (e.g., CUDA, OpenCL) and optimization techniques. Experience building and operationalizing machine learning models. Preferred qualifications: Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators. Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, Tensorboard). Experience designing/architecting large-scale infrastructure farms for specialist Artificial Intelligence (AI) use cases. Experience with running Machine Learning (ML) Perf benchmarks, distributed training and optimizing performance versus costs. Experience with High Performance Computing (HPC) environments and contributions to open-source projects related to AI or infrastructure. Excellent communication, presentation, and teamwork skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineer for AI Infrastructure, you will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on GPUs, accelerators (including FPGAs and ASICs), and Google TPUs. You will work closely with Sales, Product Management, and Engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth.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 Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Travel to customer sites and events as needed. Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for Google Cloud Platform (GCP). 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.