Kernel jobs

Principal Software Developer 4 (KSplice) Santa Clara, CA, United States, US Ksplice is the leading technology that allows administrators to patch the kernel on the fly with zero downtime and zero disruption. We're a distributed team of engineers forming part of the Linux and Virtualization group at Oracle with a passion for working on exciting technology, software engineering and all things Linux. Ksplice powers some of Oracle's biggest systems from massive databases to clouds. Join us on our quest to minimize downtime and secure systems. We're looking for a systems engineer to join us, helping Ksplice patch even more of the system, support new releases and improving our workflow. If you take pride in crafting software, don't rest until you full understand complex problems and are curious about what happens on the layer below then Ksplice will be of interest to you. You'll like working at all levels of a Linux system, developing tooling in Python bash, analyzing security vulnerabilities in Linux kernel patches, enhancing the Ksplice tools and improving the workflow. · Skilled with software development best practices including TDD · Expert level C/C programming · Understanding of security issues and defenses in compiled languages · Strong experience with Python · Experience developing the Linux/UNIX kernel · Excellent problem solving and debugging skills · Test automation More information about Ksplice is available at http://ksplice.oracle.com/ Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug

Dir, Machine Learning Eng San Jose posted: Posted 30+ Days Ago

Machine Learning Engineer San Jose posted: Posted 8 Days Ago

Principal Engineer Software (Machine Learning) Santa Clara, United States of America posted: Posted 4 Days Ago

Machine Learning Engineer San Jose posted: Posted 7 Days Ago

Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

Software Development Engineer II, AI/ML Elastic Collectives - Annapurna Labs Cupertino, California, USA We are seeking an experienced engineer to work on distributed AI/ML systems. This role involves working on collective operations - the fundamental operations that enable AI to scale across multiple accelerators & servers. Most of our stack is C/C++ and relatively low level, so solid knowledge of Linux, kernels, and performant code is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC interconnects is valued highly. If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role on the forefront of AI/ML, you'll be working on features for the largest clusters, with the largest customers, for the largest AI models. The org you would be joining is Annapurna Labs, an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed in Annapurna Labs. We specialize in designing software, systems and chips that optimize the AWS customer experience. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you'd be working side by side with infrastructure experts,

Linux and UNIX Architect / SME Noida posted: Posted 30+ Days Ago

WiFi Software Development Engineer, eero Chennai, Tamil Nadu, IND We are looking for a Software Development Engineer to join our team at eero. The ideal candidate will be passionate about networking, with a deep understanding of Ethernet, network security protocols, WiFi, and broader networking concepts. This role is critical in handling escalations, particularly those that are challenging to reproduce in the field. The Software Development Engineer will spend 50% of their time managing customer issues and 50% of the time developing features, integrating software and improving tooling. This position offers an exciting opportunity to contribute to our team and to shape a new function within our organization. Key job responsibilities - Enhance whole home connectivity for eero products. - Solve connectivity issues with comprehensive solutions. - Optimize networking subsystems in OS kernels for better WiFi performance. - Implement protocols for efficient mesh network management. - Debug and optimize kernel-level system performance for stability. - Improve integration of wireless drivers, firmware, hostap, and applications. - Lead enhancements in testing procedures. - Collaborate with OS, mobile, and cloud teams to deliver features. About the team At eero, our mission is to make technology in our homes just work, through fast, stable, and secure connectivity. As a leader in home WiFi systems, eero is committed to delivering exceptional whole-home connectivity solutions. We focus on innovative design, performance, and user-centric technology to ensure a seamless and robust WiFi experience in every home. Basic Qualifications: - 3+ years of computer science fundamentals (object-oriented design, data

Lead Engineer, ML Network Stack - Annapurna Labs Cupertino, California, USA We are seeking an experienced engineer and technical leader to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued. If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML-you'll be working on features for the largest clusters, with the largest customers, for the largest AI models. This is a role for a technical lead with the expectation to grow into a technical manager role. We are specifically seeking candidates who want to develop their career as a technical manager. The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. Key job responsibilities Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive

Sr Software Engineer, Graviton Software, Annapurna Labs Austin, Texas, USA The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 3 years, Graviton has powered the majority of new EC2 capacity and is used by over 98% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS ..etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis features - Build and maintain automation solutions

Machine Learning Engineer 4 San Jose posted: Posted 30+ Days Ago

Applied Scientist, AWS Neuron Science Team Santa Clara, California, USA The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and

Sr Machine Learning Engineer- ML Infrastructure & Data Platforms 2 Locations posted: Posted 30+ Days Ago

Software Engineer, Graviton Software, Annapurna Labs Austin, Texas, USA This opportunity is open for Austin. The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 3 years, Graviton has powered the majority of new EC2 capacity and is used by over 90% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS ..etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis features -

Principal/Senior Linux Security Researcher (Cortex) Office - Israel - Tel Aviv posted: Posted 15 Days Ago

Engineering Manager, SSD Storage Sunnyvale, CA, USA Like 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 part of the Platforms Storage, you will be responsible for building storage solutions for all of Google's services (e.g., AI/ML Systems, Cloud, Search, Photos, YouTube etc.). You will design and develop the platform's software and solutions for NAND flash, Solid State Drives (SSDs), storage appliances, and next-generation disruptive storage technologies. You will develop firmware, kernel drivers, system software, tools and security solutions optimized for Google's services. You will develop qualification frameworks, solutions and processes working jointly with our

Machine Learning Engineer San Jose posted: Posted 30+ Days Ago

Principal Member of Technical Staff - Autonomous Database India, IN The Autonomous Database cloud service framework automates deployment, scaling and management of databases in the cloud and is built on top of Oracle's Cloud Infrastructure (OCI) Layer. The framework features APIs to handle all lifecycle management operations of databases. It also performs operations autonomously based on internal and external events. The team has the unique opportunity to make significant contributions to the full stack of Oracle technology, from database kernel to cloud service platform and to customer-facing portals. Projects include enhancements to the core database kernel architecture, automation of tenant database lifecycle management, autonomous database management and tuning, integration with other Oracle cloud services, and extending platform for customers to build application services. We are a dynamic and enthusiastic team with great emphasis on go-getters and proactive individuals. Overview from oracle.com with links to other collateral: https://cloud.oracle.com/en_US/datawarehousehttps://www.oracle.com/database/autonomous-database/feature.html Preferred Qualifications: BS/MS degrees in Computer Science or Computer Engineering Strong, object-oriented design and coding skills (Java, Scala, Python, C/C++) Good understanding of Cloud architecture, security, networking, monitoring and deployments Hands on experience on any one cloud - AWS, Azure, Google or Oracle is a must Experience building scalable, highly available and secure distributed multi-tiered systems Experience with relational databases Strong knowledge in Rest API development Experience in infrastructure automation through Terraform, Chef, Ansible, Puppet, Packer or similar Experience in operating high-throughput software systems in cloud environments Ability to achieve stretch goals in a fast paced environment Design, develop, troubleshoot and debug software

Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago

ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs Seattle, Washington, USA 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. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers. Strong software development skills using C++/Python are critical to this role. A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto. Basic Qualifications: - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing

Director, Cloud Engineering Greece-Thessaloniki Chortiatis posted: Posted 18 Days Ago

Staff Software Engineer, Storage Sunnyvale, CA, USA 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. Platforms Storage is responsible for building storage solutions for all of Google's services (e.g., Artificial Intelligence/Machine Learning (AI/ML) Systems, Cloud, Search, Photos, YouTube etc.). The team designs and develops the platforms' software and solutions for NAND flash, Solid-State Drives (SSDs), storage appliances, and next-generation storage technologies. We develop firmware, kernel drivers, system software, tools and security solutions optimized for Google's services. We develop qualification frameworks, solutions and processes working with the vendors. We are responsible for maintaining and ensuring supply for all the flash in Google's fleet. In this role, you will contribute to enhancing the capabilities in all of the areas. The AI and

Machine Learning Researcher (NLP) KOR - Seoul, South Korea posted: Posted Today