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Mountain View, CA, United States
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Diego, CA, USA . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 years of experi
Job Source: GoogleSunnyvale, CA, United States
Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with performance,
Job Source: GoogleMountain View, CA, United States
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., C++), or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 2 years of experience working with compilers (compiler opti
Job Source: GoogleKarkidi
Mountain View, CA, United States
Minimum qualifications: Bachelor’s degree or equivalent practical experience. Candidates will typically have 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Candidates will typically have 2 years of experience with data structures or algorithms. Preferred qualifi
Job Source: KarkidiMountain View, CA, United States
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C++ and embedded systems. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 2 years of experience with software frameworks for mob
Job Source: GoogleKarkidi
Mountain View, CA, United States
Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience with machine learning or multimedia technologies. Experience with architecture or silicon engineering such as computer architecture, DSP circuits, VLSI, or RTL. Exper
Job Source: KarkidiAmazon
Cupertino, CA, United States
- 3+ years of non-internship professional software development experience - 2+ years of experience architecting and optimizing compilers - Proficiency with 1 or more of the following programming languages: C++ (preferred), C, Python DESCRIPTION The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several
Job Source: AmazonAmazon
Cupertino, CA, United States
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Yo
Job Source: AmazonMountain View, CA, United States
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Bellevue, WA, USA . Minimum qualifications: Bachelor's degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Experience with compilers (e.g., optimization, parallelization, etc.).
Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience in optimizing machine learning models for inference.
Experience with Compiler development in the context of accelerator-based architectures.
Experience in MLIR and/or LLVM.
About the job 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’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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Edge TPU is a family of embedded Machine Learning (ML) accelerators focused toward a broad set of applications, from smartphones to self-driving cars to data center applications. The compiler team is responsible for analysis, optimization, and compilation of ML models focused on the Edge TPU.
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.
The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities Work as part of the Edge TPU compiler team, including analyzing and improving the compiler quality and performance on optimization decisions, correctness and compilation time.
Develop parallelization and scheduling algorithms to optimize compute and data movement costs to execute ML workloads on the Edge TPU.
Work on efficient mapping of generative AI models and other key workloads into Edge TPU instructions through the compiler.
Work with Edge TPU architects to design future accelerators, hardware/software interface, and co-optimizations of the next generation Edge TPU architectures.
Collaborate with ML model developers, researchers, and Edge TPU hardware/software teams and product managers to accelerate the transition from research ideas to optimal user experiences running on the Edge TPU.
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.
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Email Alert for Software Engineer, Machine Learning Compilers, Silicon jobs in Mountain View, CA, United States
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