Cake Job Search

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 10 years of experience in ASIC hardware architecture and silicon design. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with processor core architectures (such as ARM, x86, RISC-V, etc.) and IPs commonly used in SoC designs. Experience architecting and designing low power ASIC hardware IP for SoCs in the following areas: camera ISP, video codecs, display, graphics and machine learning networks. Experience in architecting ambient or always-on vision hardware and workflows for ultra low power SoC applications. 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. 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 Define and deliver the hardware Multimedia/Graphics ASIC IP architecture that meet engaged power, performance, area and image quality goals, which will require owning the goals through to tape-out and product launch. Collaborate with Graphics, Camera, Video, Display and ML software, system and algorithm engineers to co-develop and specify engaged hardware IP architectures for integration into SoCs. Collaborate with GPU, TPU, camera ISP, video and display hardware IP design teams across global sites to drive the hardware IP architecture specifications into design implementation for SoCs. Collaborate with SoC and System/Experience architects on meeting strenuous power, performance and area requirements at the SoC level for multimedia use cases and experiences. Perform detailed data analysis and tradeoff evaluations to improve multimedia architecture solutions. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 5 years of experience working on embedded or phone security design and development. Experience in authentication, encryption, certificate management, or operating system security. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 8 years of experience working on embedded or phone security design and development. 5 years of experience with data structures/algorithms. Experience with boot and runtime firmwares such as Trusted Firmware-A (TF-A), Unified Extensible Firmware Interface (UEFI), Advanced Configuration and Power Interface (ACPI), etc. Experience with open source development and knowledge of the security development life cycle. Knowledge of CPU architectures (e.g., ARM, RISC-V, x86, MIPs, etc.). 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. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.Responsibilities Work on next generation Pixel security designs and projects. Harden low-level system software components critical to Pixel security. Research design and develop security features for future Pixel devices. Develop technical solutions to help mitigate security vulnerabilities. Collaborate with upstream open source software projects. 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.

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

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team and Role:As an Audio ML Data Engineer on the Logitech Hardware Audio ML and DSP Product team, you will work on developing and managing our audio datasets and data pipelines. This work directly influences the innovative audio experiences we deliver to our customers.The Audio ML Data Engineers key responsibilities include:Data Pipeline Management: Ensuring the integrity and quality of Audio ML data pipelines and datasets, which involves robust data augmentation and managing workflows for supervised, unsupervised, and semi-supervised ML audio applications.Model Development and Deployment: Collaborating with the team to develop and deploy Audio ML models, specifically targeting platforms with strict resource limitations (such as Tensilica DSP, ARM, and RISC-V).Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Design and manage audio data collection, curation, labeling, cleaning and augmentation pipelinesEvaluate and implement scalable data augmentation techniques.Establish and maintain high-quality, well-versioned, and documented datasets essential for training, validation, and benchmarking of audio ML models.Build automated tools for monitoring and ensuring the quality and statistical diversity of audio data.Formulate and execute strategies for continuous improvement of existing datasets.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:Audio Data Expertise: A minimum of 3 years of direct experience working with extensive audio datasets, including advanced data augmentation and preprocessing techniques audio ML.Python Proficiency: Strong proficiency in Python for both ML model development and automating data pipelines.Data Pipelines and ML Frameworks: Proven expertise in building scalable data pipelines and expertise in employing ML frameworks (TensorFlow, Keras) with large-scale, complex datasetsPreferred Qualifications:​Expert-level skills in audio analysis, including listening and artifact detection, with a proven track record of validating performance across diverse datasets.Strong familiarity with designing, executing, and statistically analyzing audio quality measurement protocols, specializing in managing data-driven objective and subjective evaluations.A strong data-first mindset, with a demonstrated ability to drive innovation both independently and as part of a team.Proficiency in C and SQL, along with experience using code version control systems (Git), is a valuable asset.Excellent cross-functional communication, documentation, and leadership skills, emphasizing transparency in data and results.Education:Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related discipline.Equivalent practical experience in professional audio ML and data engineering considered; advanced/relevant continuing education preferred.#LI-SL1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team and Role:As an Audio ML Engineer on the Logitech Hardware Audio ML and DSP Product team, you will be instrumental in developing Embedded Audio ML models that create innovative audio experiences for our customers [ e.g. Speech/Audio enhancement] . This role offers a significant opportunity to contribute directly to the audio products we develop.The Audio ML Data Engineers key responsibilities include:Develop production-ready Audio ML models, leveraging multi-sensor data from the product.Ensure these models are deployed for efficient inference on resource-constrained platforms by employing optimization techniques, including Post-Training Quantization (PTQ), Quantization-Aware Training (QAT), pruning etc.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Develop and implement highly optimized Audio ML models for efficient deployment on resource-constrained embedded platforms (e.g., ARM, Tensilica DSP, RISC-V, NPUs).Utilize techniques like  quantization [PTQ and QAT], and pruning to ensure effective on-device inference.Architect, optimize, and improve algorithm performance in complex real-world audio environments.Propose and implement novel solutions to challenging technical problems.Collaborate with various product teams to guarantee a premium and seamless customer audio experience.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:Audio ML Expertise (3 Years): Hands-on experience across the entire Audio ML lifecycle, including model training, tuning, quantization (PTQ and QAT), and deployment to production.ML Framework Proficiency: Advanced skills in ML frameworks (e.g., TensorFlow, Keras,PyTorch) with a history of successfully shipping Production ready Audio ML models.Embedded Optimization: Demonstrated success in optimizing model inference performance specifically for resource-constrained embedded systems.Strong Programming Best Practices: Excellent programming skills in Python and C, coupled with experience in code optimization and adherence to rigorous software best practices.Audio Data Augmentation: Experience with audio data augmentation techniques, including the ability to design, implement, and evaluate custom augmentation pipelines.ML Stack Debugging: Proficiency in Linux-based compute environments and experience debugging common ML training stack issues (e.g., OOM issues, CUDA errors, library conflicts).Preferred Qualifications:Audio Quality Assessment: Proven experience in designing and executing both subjective and objective audio quality evaluation protocols, including familiarity with industry-standard audio measurement metrics.Audio Artifact Resolution: Demonstrated track record of effectively identifying and resolving audio artifacts within ML audio chains..Technical Leadership Communication: Excellent communication, documentation, and leadership abilities, particularly in cross-functional technical environments.Initiative Execution: Highly driven individual with a demonstrated ability to deliver results and lead technically, both independently and as a contributing team member.Education:Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a closely related field.Equivalent practical experience is considered; advanced degrees or continuing education in audio ML are highly valued.#LI-SL1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.