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Mountain View, CA, United States
Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 5 years of experience with software development in C/C++. 5 years of experience in compiler and developing toolchain components (compilers, linkers, debuggers, system libraries). 3 years of experience testing, maintaining, or launching software produc
Job Source: GoogleMountain View
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: GoogleMountain 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
Job Source: GoogleNVIDIA
Santa Clara, CA, United States
We are looking for an experienced Senior Compiler Optimization Engineer for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and sel
Job Source: NVIDIAAmazon Web Services (AWS)
Cupertino, CA, United States
Description AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of co
Job Source: Amazon Web Services (AWS)Apple Inc.
Santa Clara, CA, United States
CPU Processor Performance Verification Engineer Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, hard-working people and inspiring, innovative techno
Job Source: Apple Inc.ByteDance
San Jose, CA, United States
Responsibilities About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consu
Job Source: ByteDanceJuniper Networks
Sunnyvale, CA, United States
Job Description Staff Software Compiler Engineer (Compiler Team) Location: Sunnyvale, CA Juniper Networks seeks a highly skilled Software Staff Engineer to join our Software Engineering Compiler group. In this technical role, you will design, develop, and implement test plans and strategies to qualify and upgrade compiler toolchains for our cutt
Job Source: Juniper NetworksMountain 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 optimizations, parallelization, etc.).
Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.
Experience with compiler development in the context of accelerator-based architectures.
Experience with machine-learning and generative AI architectures.
Experience developing accessible technologies.
Experience with C++ or Python.
Experience in MLIR 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.
In this role, you will work on the core optimization and scheduling algorithms of the next-generation EdgeTPU compiler. Featuring an MLIR-based compiler framework serving both production and hardware/software codesign needs for EdgeTPU, the core algorithms are critical to deliver the best AI/ML performance of the silicon to our end users.
Together with the EdgeTPU team, whether software engineers or architects, you will design and implement novel optimization algorithms and compiler transformation frameworks to enable production-quality compilation and optimization of workloads. You will be able to make an impact on holistic hardware/software co-optimization of AI/ML use cases for current and future generations of Google devices, including the latest generative AI models.
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 $136,000-$200,000 + 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 EdgeTPU 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 Machine Learning workloads on the EdgeTPU.
Work on efficient mapping of generative AI models and other key workloads into EdgeTPU instructions through the compiler.
Work with EdgeTPU architects to design the hardware/software interface and co-optimizations of the next generation EdgeTPU architectures.
Work with product managers, researchers in identifying key Machine Learning trends, future use cases, etc.
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, Compiler Optimization and Scheduling, Silicon jobs in Mountain View, CA, United States
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