Cupertino, CA · On-site
$141K - $169K/yr
Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and ...
Cupertino, CA · On-site
$141K - $169K/yr
Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and ...
Cupertino, CA · On-site
$141K - $169K/yr
Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and ...
Cupertino, CA · On-site
$141K - $169K/yr
Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and ...
Software Engineer, ML Accelerators, DeepMind Share Software Engineer, ML Accelerators, DeepMind * link Copy link DeepMind Mountain View, CA, USA ; San Francisco, CA, USA Share Software Engineer, ML ...
Software Engineer, ML Accelerators, DeepMind Share Software Engineer, ML Accelerators, DeepMind * link Copy link DeepMind Mountain View, CA, USA ; San Francisco, CA, USA Share Software Engineer, ML ...
Software Engineer, ML Accelerators, DeepMind Share Software Engineer, ML Accelerators, DeepMind * link Copy link DeepMind Mountain View, CA, USA ; San Francisco, CA, USA Share Software Engineer, ML ...
Software Engineer, ML Accelerators, DeepMind Share Software Engineer, ML Accelerators, DeepMind * link Copy link DeepMind Mountain View, CA, USA ; San Francisco, CA, USA Share Software Engineer, ML ...
San Jose, CA · On-site
$2.0K/mo
Develop robust methods to capture performance data directly from our custom ML accelerator hardware (e.g., hardware performance counters, execution unit status, memory access patterns) via driver ...
San Jose, CA · On-site
$2.0K/mo
Develop robust methods to capture performance data directly from our custom ML accelerator hardware (e.g., hardware performance counters, execution unit status, memory access patterns) via driver ...
San Jose, CA · On-site
$150K - $275K/yr
Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a ...
San Jose, CA · On-site
$150K - $275K/yr
Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a ...
San Jose, CA · On-site
$2.0K/mo
Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a ...
San Jose, CA · On-site
$2.0K/mo
Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a ...
Cupertino, CA · On-site
$151K - $199K/yr
Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and ...
Cupertino, CA · On-site
$151K - $199K/yr
Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and ...
Santa Clara, CA · On-site
Leads the design and integration of advanced video systems and AI/ML hardware accelerators, developing complex features and components aligned with technical proposals and product roadmaps for ...
Santa Clara, CA · On-site
Leads the design and integration of advanced video systems and AI/ML hardware accelerators, developing complex features and components aligned with technical proposals and product roadmaps for ...
San Jose, CA · On-site
Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a ...
San Jose, CA · On-site
Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a ...
AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last ...
AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last ...
Cupertino, CA · On-site
$151K - $199K/yr
Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and ...
Cupertino, CA · On-site
$151K - $199K/yr
Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and ...
San Jose, CA · On-site
Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a ...
Quick apply
San Jose, CA · On-site
Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a ...
Profile systems, identify performance bottlenecks across ML accelerators, and optimize end-to-end execution speed. * Translate product and business goals into concrete technical requirements and ...
Profile systems, identify performance bottlenecks across ML accelerators, and optimize end-to-end execution speed. * Translate product and business goals into concrete technical requirements and ...
Sunnyvale, CA · On-site
$154K - $203K/yr
Working knowledge of any hardware-accelerated compute pipelines (GPUs, ML accelerators) and its system integration (boot flow, firmware, telemetry). About the job Google's software engineers develop ...
Sunnyvale, CA · On-site
$154K - $203K/yr
Working knowledge of any hardware-accelerated compute pipelines (GPUs, ML accelerators) and its system integration (boot flow, firmware, telemetry). About the job Google's software engineers develop ...
Mountain View, CA · On-site
$213K - $263K/yr
Your expertise in massive model scaling, ML accelerators, and distributed training will be required for designing and scaling our systems. This role reports to an Engineering Manager. You will: * Be ...
Mountain View, CA · On-site
$213K - $263K/yr
Your expertise in massive model scaling, ML accelerators, and distributed training will be required for designing and scaling our systems. This role reports to an Engineering Manager. You will: * Be ...
Execute bring-up/debug, workload enablement, and ML accelerator SW stack validation. * Perform performance and power characterization under real ML workloads. * Create automated data collection flows ...
Quick apply
Execute bring-up/debug, workload enablement, and ML accelerator SW stack validation. * Perform performance and power characterization under real ML workloads. * Create automated data collection flows ...
What you'll do: - Develop and maintain high-fidelity functional model of AI/ML accelerator and its SoC subsystems, including compute engines, memory hierarchies, on-chip interconnects, and data paths ...
What you'll do: - Develop and maintain high-fidelity functional model of AI/ML accelerator and its SoC subsystems, including compute engines, memory hierarchies, on-chip interconnects, and data paths ...
Codesign and invent novel ML accelerator and system architecture solutions, and facilitate the integration of algorithms and software to utilize these enhancements * Develop state-of-the-art model ...
Codesign and invent novel ML accelerator and system architecture solutions, and facilitate the integration of algorithms and software to utilize these enhancements * Develop state-of-the-art model ...
Austin, TX · On-site
$103K - $141K/yr
Key job responsibilities Fleet Health & Predictive Infrastructure - Build and own the automation infrastructure responsible for the health of the server fleet across edge and accelerator (AI/ML ...
Austin, TX · On-site
$103K - $141K/yr
Key job responsibilities Fleet Health & Predictive Infrastructure - Build and own the automation infrastructure responsible for the health of the server fleet across edge and accelerator (AI/ML ...
Cities with the most Ml Accelerator job openings:
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Cupertino, CA • On-site
$141K - $169K/yr
Full-time
Re-posted 8 days ago
7.4
Based on 7,171 frontline employees who took The Breakroom Quiz
The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software
We are looking for an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.
Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bring-up.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
10,000+ Employees
Seattle, WA, US
