Aptos jobs

Senior Software Engineer, Infrastructure, CoreOS Agentic Engineering 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. The CoreOS team is responsible for the Operating System that runs Google, from the Kernel through the Node OS. The Agentic Engineering team within CoreOS is driving the AI revolution into how we work, test, release, and support the CoreOS across Production. This team is 25% exploration, 50% engineering, 25% productionization - but top to bottom revolutionary in fast turn-around in developing critical services that could only be possible via AI. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our

Operador(a) de Processos de Produção C - Afirmativa para pessoas com deficiencia - Guaratinguetá/SP Country / Location Brazil Negócio Com um amplo portfólio de tecnologias,aáreadeDispersõese Pigmentos da BASF oferece soluçõesdealtaperformanceque se adequamàs necessidades de clientes de vários segmentos da indústria. Nossas soluções contribuemparaasustentabilidade, aopossibilitarousomaiseficiente derecursos,comoágua,energiae temponosprocessosprodutivos. Área Nóstransformamosaquímicapara umfuturosustentável.Nósunimos êxito econômico, responsabilidade social e proteção ao meio ambiente.Pormeiodaciênciaeda inovação, nossos clientes estão aptos a atender as atuais e as futurasnecessidadesdasociedade. Nós progredimos com as formulações dos nossos clientes através da nossa paixão pela química. Candidato(a) Buscamos um(a) profissional, comunicativo e com excelente capacidade de execução. Você atuará no time de produção e próximodostimesdeManutenção, Laboratório,Engenharia,Logística. Terá responsabilidades em transferência de produtos acabados e auxiliar nos carregamentos de CRT's, programa5Sepreenchimentode KPI's. É indispensável possuir ensino médio completo, experiência prévia emrotinas de produção, curso de operação de empilhadeira concluído e disponibilidadepara trabalhar em turnos. Será considerado um diferencial ter formação técnica profissionalizante ou ensino superior, sendo importante mencionar caso possua. Procuramos candidatos comprometidoseinteressadosem integrarumaequipedinâmica.

RTOS Embedded Software Engineer 5 United States-California-Northridge RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman is looking for an RTOS Embedded Software Engineer 5 specializing in Real-Time Operating System (RTOS) and Xilinx BSPs to develop and maintain the software layer that bridges RTOS with Xilinx hardware platforms. This position will be located onsite at our Northridge, CA location and there is no remote work available. Key Responsibilities: Write and maintain the BSP, which is the software layer that allows RTOS to interact with the specific Xilinx hardware (e.g., Zynq, Zynq UltraScale+) This includes device driver development for peripherals like UART, SPI, I2C, Ethernet, etc. Ensure the BSP is

System Development Engineer macOS, Client Engineering Seattle, Washington, USA Enterprise Engineering organization manages one of the largest macOS client fleets in the world. Our focus is to consistently raise Amazon's security bar while ensuring a smooth productivity experience for our end users. We are a team of builders managing the solutions for Amazon's global macOS client fleets. We use AWS products to evolve traditional enterprise tools and services at a large scale. We are looking for a Systems Development Engineer with extensive macOS knowledge of Fleet Management, troubleshooting expertise, development background, and strong knowledge of macOS performance troubleshooting. If you are passionate about technology, enjoy working with others, and like to solve technical challenges, keep reading. In this role, you and your team will directly influence Amazon's macOS experience roadmap. You will use native AWS services, external 3rd party services, and DevOps patterns to manage a growing fleet of macOS client devices. This is a hands-on position where your daily activities include macOS administration, integrations, developing tools and automation, root cause analysis, performance analysis, and maintaining service infrastructures. You will contribute to operations and development activities as we build the next generation of macOS management tools. Every day will bring new and exciting opportunities. Your responsibilities include but are not limited to: Troubleshoot and solve issues in a globally scaled enterprise environment macOS client management - patching, OS updates, configuration profile deployments, and MDM policy enforcement Maintain client management service infrastructure hosted in AWS Contribute to automation efforts with a

Systems Engineer MacOS, Client Engineering Seattle, Washington, USA Enterprise Engineering organization manages one of the largest macOS client fleets in the world. Our focus is to consistently raise Amazon's security bar while ensuring a smooth productivity experience for our end users. We are a team of builders managing the solutions for Amazon's global macOS client fleets. We use AWS products to evolve traditional enterprise tools and services at a large scale. We are looking for a Systems Engineer with deep macOS troubleshooting expertise and hands-on fleet management experience. This role is heavily focused on diagnosing complex macOS issues at enterprise scale, maintaining fleet health, and driving operational excellence across our global device estate. If you thrive in high-pressure troubleshooting scenarios, enjoy root-causing elusive system issues, and have a passion for keeping large fleets running smoothly - this is the role for you. In this role, you and your team will directly influence Amazon's macOS experience roadmap. You will manage, monitor, and maintain a growing fleet of macOS client devices using MDM platforms, native Apple tooling, and AWS-hosted infrastructure. This is a hands-on operational role where your daily activities center around macOS troubleshooting, fleet health management, incident response, performance analysis, and continuous improvement of our management stack. Key job responsibilities Troubleshoot and resolve complex macOS issues (system crashes, kernel panics, performance degradation, network connectivity, authentication failures) in a globally scaled enterprise environment Manage macOS fleet operations - OS patching, software deployments, configuration profile management, and MDM policy enforcement across tens of

Staff Software Engineer, CoreOS Agentic Engineering 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. In this role, you will be responsible for the Operating System that runs Google, from the Kernel through the Node userspace. The Agentic Engineering team within CoreOS is driving the AI revolution into how we work, test, release, and support compute across Production. This team is 25% exploration, 50% agentic engineering, 25% productionization - but top to bottom revolutionary in providing fast turn-around developing critical services that could only be possible via AI. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.

Talentos do Futuro | Vagas de estágio Sao Paulo, DE Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Você é apaixonado por fazer a diferença na vida das pessoas? Tem interesse em contribuir para soluções médicas inovadoras que transformam vidas e deixam marcas? Então, esta oportunidade é para você! Estamos em busca de novos talentos comprometidos para se juntarem à nossa equipe na Boston Scientific do Brasil. Como líderes na indústria de saúde, temos o compromisso de transformar vidas por meio de soluções médicas inovadoras que impactam positivamente milhões de pacientes em todo o mundo. Nosso objetivo é construir um banco de currículos de Estágio a partir de aplicações de Talentos para que possamos entrar em contato para que você participe dos processos seletivos para nosso programa! Cursos como: Administração, Economia, Marketing, Relações Públicas, Direito, Engenharias, Dados e correlatos estão aptos a participar do programa, se inscreva e venha fazer parte impactando vidas através de inovações. A qualquer momento você pode acessar nosso site de carreiras e alterar seus dados, consultar a nossa Polí

Senior Principal Software Engineer - Network Security - PanOS 3 Locations posted: Posted 4 Days Ago

Forward Deployed Architect – GridOS & Energy systems Oslo posted: Posted 30+ Days Ago

Partner Development Manager (Growth), Indonesia , ASEAN AWS Partner Organization (APO) Jakarta, JABODETABEK, IDN Would you like to be part of a team that is redefining the AI industry? Amazon Web Services is leading the next paradigm shift in computing and is looking for a dynamic, results-oriented candidate to join as the Partner Development Manager (Growth), Indonesia. As the Growth Partner Development Manager within Amazon Web Services (AWS), you will have the exciting opportunity to shape and deliver on an AI-first strategy to build a robust AI partner landscape in Indonesia. You will curate and develop a cohort of high-potential AI and Future Consolidation Partners, driving deep industry expertise to support AWS vertical sales motions and address evolving customer requirements. Key job responsibilities Your broad responsibilities will include defining and executing against the AI Partner Recruit, Onboard, and Develop playbooks, establishing business and technical relationships, and managing day-to-day interactions with a focused portfolio of partners to build long-term AI-driven business opportunities. The ideal candidate will possess both a business background that enables them to drive engagement and interact at the CXO/VP level, as well as a technical background that enables them to interact with software developers and architects on AI/ML solutions. He/she should have a demonstrated ability to think strategically about AI business, product, and technical challenges, with the ability to build and convey compelling value propositions. The candidate should have experience working with SI partners, AI-native companies, and technology providers, and be comfortable managing complex partnerships across various cross-functional

Senior Manager - Specialist Solutions Architects APJ, Startup WWSO, AWS SGP Do you want to help define the future of Generative AI technology on AWS as part of the Worldwide Specialist Organization (WWSO) Startups team? Are you passionate about AI infrastructure and helping customers navigate the complexities of training and serving large-scale models? As a Manager in the WWSO Startups Go-To-Market (GTM) team, you will lead a team of Specialist Solutions Architects and GTM Specialists focused on accelerating adoption of AWS's AI/ML platform services, including training infrastructure, inference optimization, and generative AI application development, with high-priority frontier AI model builders and AI-native startups across APJ. Your team will define, build, and deploy targeted strategies to drive adoption of AWS technologies including Generative AI, Database, Analytics, and Containers among startup customers spanning multiple industry verticals. You will: - Hire and Develop the best storytellers and technologists. - Work with the most promising Startups. - Guide your team to find ways to scale tech knowledge via products, programs, and the AWS Field. - Gather critical Startup feedback to inform our product roadmaps Key job responsibilities - Hire and develop a team of excellent Specialist Solutions Architects who work with Startups in the APJ Region (Australia, New Zealand, Japan, ASEAN, Korea, India). - Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships. - Become a trusted advisor within customer accounts through Technical Thought Leadership.

Systems Administrator / Information Systems Security Officer (ISSO) Oakland, SC posted: Posted 4 Days Ago

SoC Platform Software Engineering Manager, Annapurna Labs Machine Learning Acceleration, AWS Cupertino, California, USA One C++ codebase. Three radically different execution environments. We're looking for an engineering manager who thinks in terms of platforms, abstractions, and portable software architecture - and can lead a team that ships all three. Our SoC HAL (Hardware Abstraction Layer) team builds the platform software layer for AWS's custom Trainium and Inferentia ML accelerator chips. The HAL is a shared library that boots, configures, and manages every hardware block on the SoC - 270+ instances per chip - and the same source tree compiles and runs on SystemVerilog DPI for chip verification, QEMU for system emulation, and Carbon OS in microcontrollers within the AWS production fleet. Your platform abstractions are what make this possible, and your APIs are the interface that 100's of engineers across verification, emulation, and production use to interact with the chip. Tech stack: C++17, CMake, GoogleTest, Python, SystemVerilog DPI, SPI, APB/AXI bus protocols, PCIe, UCIe, HBM, PLL, custom IPs As the SoC Platform Software Manager, you will: - Manage, coach, and grow a team of 6 engineers - set technical direction, own hiring, and create an environment where strong engineers want to stay - Own the platform abstraction layer that enables one C++ codebase to compile and run correctly across three target environments with fundamentally different runtime characteristics - Shape the external API contracts that verification, emulation, and production teams build on - balancing stability for consumers against the need to

SoC Firmware Engineering Manager, Annapurna Labs Machine Learning Acceleration, AWS Cupertino, California, USA When a new Trainium or Inferentia chip comes back from the fab, our code is the first software to touch it. We're looking for a hands-on engineering manager who lives and breathes low-level software - someone who's debugged register-level issues at 3am and wants to build a team that does it better. Our SoC HAL (Hardware Abstraction Layer) team owns the lowest layer of user-space software on AWS's custom ML accelerator chips: the firmware that boots, configures, and manages every hardware block on the SoC. Your software runs as a shared library on embedded Linux, reaching into the chip to program PCIe links, initialize HBM controllers, configure PLLs, manage interrupt controllers, and orchestrate fabric interconnects across 270+ hardware block instances per chip - all deployed across millions of servers in AWS's global fleet. Tech stack: C++17, CMake, GoogleTest, Python, SystemVerilog DPI, SPI, APB/AXI bus protocols, PCIe, UCIe, HBM, PLL, custom IPs As the SoC Firmware Manager, you will: - Manage, coach, and grow a team of 6 engineers - set technical direction, own hiring, and create an environment where strong engineers want to stay - Coordinate deliverables across chip architects, RTL designers, verification engineers, validation engineers, and platform software teams - you're the single point of accountability for HAL readiness on every new chip program - Own bring-up for new SoC tape-outs, from first-silicon power-on through production fleet deployment - Prioritize work across multiple concurrent chip programs

SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Cupertino, California, USA AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life - drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. We're looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre-silicon and post-silicon, where the problems are hard, the debugging is deep, and the impact is enormous. Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML accelerator systems modeling software team, you will: - Develop and own components of our SoC models, both single-chip and at the datacenter-scale level - Debug complex hardware/software interactions across the full software stack - from register-level bring-up on functional models and emulators, to performance analysis on live silicon - Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface - Contribute to the design of hardware features by providing a software perspective early in the chip development cycle - Build tooling, test infrastructure, and automation that accelerates development for yourself and your teammates Annapurna Labs, our organization within AWS, designs and deploys some

System Integration Engineer, SPIV team Haifa, Haifa, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Annapurna Labs as part of AWS, is seeking for System Integration Engineer to help define, shape, and integrate solutions for the next generation of our cloud platforms. As System Integration Engineer you'll join Annapurna's product system team, which develops advanced technologies used across AWS data centers, supporting services like Nitro and Graviton. You will take ownership of end-to-end system interfaces (e.g., PCIe, Ethernet, DDR) throughout the product lifecycle, from concept to post-deployment debugging. Key job responsibilities 1. Setting interface design strategies 2. Ensuring optimal design implementation 3. Driving complex system debugs involving hardware, firmware, and software components 4. Providing leadership to raise quality standards This role requires a fast-paced, intellectually curious individual capable of setting high standards and constantly seeking improvements in performance, quality, cost, and reliability of AWS products and services. The position offers the opportunity to contribute to industry-changing innovations and push the boundaries of what's possible in cloud

Senior Linux Platform Engineer Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position The Senior Linux Platform Software Engineer will join the platform team for a robotic-assisted bronchoscopy navigation and biopsy planning software product, reporting to the software development manager. This role owns the Linux operating system and platform-layer software for the procedure planning laptop, a medical image-processing system running a custom Yocto-based Linux distribution. The engineer is the primary owner of OS bring-up, secure boot, remote software update infrastructure, platform security hardening, and hardware bring-up for new laptop models. This is a cross-functional

Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build and test our next generation AI chips. You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC)

Senior SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Cupertino, California, USA AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life - drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. We're looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre-silicon and post-silicon, where the problems are hard, the debugging is deep, and the impact is enormous. Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML accelerator systems modeling software team, you will: - Develop and own components of our SoC models, both single-chip and at the datacenter-scale level - Debug complex hardware/software interactions across the full software stack - from register-level bring-up on functional models and emulators, to performance analysis on live silicon - Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface - Contribute to the design of hardware features by providing a software perspective early in the chip development cycle - Build tooling, test infrastructure, and automation that accelerates development for yourself and your teammates Annapurna Labs, our organization within AWS, designs and deploys

AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world. We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations. Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware. Come join us! Key job responsibilities - Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products - Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS - Implement

Senior Manager, Analog IP Design , Analog IP Design Tel Aviv-Yafo, Tel Aviv, ISR Annapurna Labs, an Amazon company, is seeking an exceptional an exceptional leader to build and lead our next-generation internal Analog IP design team. This is a unique opportunity to create a world-class analog design center from the ground up, developing the critical IP blocks that power all of our custom silicon products, including Graviton (server CPUs) and Nitro (networking/security accelerators). At Annapurna Labs, we think big in both scale and scope. We are building internal capabilities for cutting-edge analog IP that will define the next era of cloud infrastructure silicon. This role is an opportunity to shape the analog IP strategy across all our products and lead the team that delivers it. Key job responsibilities Build the team: Recruit, hire, and develop a world-class analog/mixed-signal design team from the ground up. Define the org structure, roles, and growth path. Define the IP strategy: Own the analog IP roadmap across all Annapurna Labs products. Evaluate build vs. buy decisions and drive internal capability development. Drive execution: Lead the full design cycle from architecture through silicon validation - spec, schematic, layout, simulation, tapeout, and bring-up. Collaborate cross-functionally: Partner with SoC architecture, digital design, physical design, DFT, packaging, and system teams to integrate analog IP seamlessly. Set technical direction: Define design methodologies, flows, and best practices. Evaluate and select EDA tools, PDKs, and foundry processes. Innovate at scale: Develop IP that is reusable, portable across process nodes, and designed

Member of Technical Staff, AGI Autonomy San Francisco, California, USA Amazon Autonomy is a research lab based in San Francisco with the charter to develop state of the art browser use agents at scale. Our research leverages Large Language Models (LLMS) and reinforcement learning (RL) algorithm at scale and benefits from the ability to work Amazon's scale and a startup's agility. As a Member of Technical staff (MTS) on the gym pod, you'll be responsible for helping develop the training environments, tasks, and integrations needed to scale our data and drive core model capabilities. You'll work closely with our researchers and given the autonomy to drive significant outcomes. This role is for you if you have a learner's mindset, enjoy building at the frontier of what's possible, and thrive in a collaborative fast-paced environment. Key job responsibilities Responsible for developing approaches to scale our RL environment from hundreds of web applications and tens of thousands of tasks to thousands of web applications and hundreds of thousands of tasks. Core Engineering: Architect and deliver robust software solutions throughout the development lifecycle Develop agentic harnesses that run autonomously with high accuracy Engineer and optimize high-performance systems at scale with modern TypeScript and Python Collaboration & Leadership: Collaborate with cross-functional stakeholders to deliver aligned features Mentor junior engineering staff Maintain technical documentation and architectural decision records Basic Qualifications: - 5+ years of scripting language experience Preferred Qualifications: - Experience in Postgres, or experience in Database like NoSQL and experience with programming/scripting (Batch, VB,

SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of

Senior Software Engineer - SoC DevOps, MLA-MI - Annapurna Labs Austin, Texas, USA The Senior SoC Software DevOps Engineer role centers on enabling the rapid and reliable development of software for AWSs most advanced custom machine learning chips. This position is critical to supporting the Trainium and Inferentia families of silicon which power large scale AI training at AWS. The engineer will serve as the primary owner of infrastructure that directly affects how quickly software teams can iterate on code for both pre silicon simulation environments and post silicon production deployments. By building robust automation and tooling the role ensures that tape outs for new chips stay on schedule and that software is ready to function immediately when first silicon becomes available. This work has a direct impact on AWSs ability to deliver advanced ML infrastructure to its largest customers. This role operates at the intersection of hardware and software requiring deep expertise in infrastructure engineering to solve unique challenges such as coordinating releases across isolated environments and validating firmware on real silicon. It is a foundational position for the SoC software teams as it frees engineers from infrastructure burdens allowing them to focus on feature development. Success in this role will be measured by improvements in development velocity release quality and the stability of systems that support multiple teams. The position demands a proactive approach to identifying bottlenecks and a strong ability to operate within novel technical contexts without prior domain knowledge in machine learning or chip design. Key