Cake Job Search

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 Role :In this role you will be part of the Logitech Hardware Audio DSP and ML team developing and will be implementing real-time audio ML solutions to deliver innovative audio experiences to the customer. If you have a strong understanding of Audio DSP and TinyML  apply for this role and have a huge contribution on the audio products that we develop!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:Responsible for developing model and inference on resource constrained platforms like Tensilica DSP, ARM and RISCV cores.Responsible for optimizing and improving algorithm performance in real-world conditions – demonstrating innovative solutions to tough challenges.Work with cross-functional product team to deliver seamless customer audio experience.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:7 years of experience working in audio signal processing product teams.Tiny ML / Embedded ML - Hands-on experience porting neural network algorithms from intermediate representations such as Tensor Flow (TFLM), ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference API’s.Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference.Strong programming skills in c, python.Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSP’s and NPU’s.Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickupAdditional Skills:Experienced with Linux, Docker.Familiarity with CMSIS NN, HIFI NNLib is a plusFamiliarity with audio measurements and standard subjective/objective audio evaluation metrics.Experience working in hardware product teams from product concept to mass productionGood Audio listening skills and experience detecting audio artifacts.Experience communicating effectively in a cross functional environment. Strong problem-solving, critical-thinking skillsFamiliarity with code version control practicesEducation:Minimum Engineering degree in EE, CS or equivalent practical experience.Across 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.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Machine Learning, Data Science, Economics, or a related quantitative field. Experience with developing machine learning models, launch experiments (e.g., A/B Testing), and end-to-end data infrastructure and analytics pipelines. Experience in developing new models, methods, analysis and approaches. Experience with classification and regression, prediction and inferential tasks, training/validation criteria for Machine Learning (ML) algorithm performance. Experience in identifying opportunities for business/product improvement and defining the success of initiatives. Ability to manage problems, with excellent communication and presentation skills to deliver findings of analysis. About the jobIn this role, you will partner with Product Manager (PM), engineer, User Experience (UX) and cross-functional teams to shape the product narrative and build or launch features.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Responsibilities Perform analysis utilizing related tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into the best approach, and take ownership of open-ended business problems to reach a solution. Build new processes, procedures, methods, tests, and components to anticipate and address future issues. Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results in business insights or product improvement opportunities. Build and prototype analysis and business cases to provide insights. Develop knowledge of Google data structures and metrics. Advocate for changes needed for product development. Collaborate across teams to align resources and direction. 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.