Zippi jobs

Crush Pressing Operator, Dnipro Dnepropetrovsk Requisition Number: 44261 Якщо бажаєте працювати в ролі Оператора лінії підготовчо-пресового цеху на виробництво добичі олії в одній з найбільших компаній агро- та продуктового бізнесу, то ця вакансія для вас! З нами ви можете робити свій внесок в одній із найстабільніших галузей - ви, напевно, чули про наш український бренд олії Олейна ? Що ви будете робити в ролі Оператора лінії підготовчо-пресового цеху на виробництво добичі олії: Керування процесом підготовки насіння до пресування, пресування олії та її фільтрації; Робота в цеху: налагодження обладнання та за комп'ютером для контролю технологічних параметрів; Забезпечувати безперебійний процес роботи та виконання виробничого плану; Взяття проб та проведення аналізів; Забезпечення якості готової продукції; Дотримання санітарних норм обладнання та регулярного його очищення; Заповнення супровідної документації. Наші очікування від кандидата: Середня, середньо-технічна освіта; Впевнений користувач ПК (MS Office); Буде плюсом: досвід роботи на подібній посаді. Що ви отримаєте з Bunge: Змінний графік роботи (день-ніч-48); Офіційне працевлаштування, з першого дня КЗпП; Медичне страхування; Страхування життя; Стабільну заробітну плату; Безоплатне харчування; Соціальний пакет за колективним договором. At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers acr

Emerging Talent – Procurement Intern 2026 Opportunities (Bari) (M/F/D) IT-BA-BARI-STRADA PROVINCIALE PER MODUGNO 10+C613 posted: Posted Yesterday

Data Platform Engineer Bucharest posted: Posted Yesterday

Mud Engineer KE-Nairobi-Nairobi-The Address Building, off Waiyaki Way posted: Posted 17 Days Ago

Emerging Talent – Engineering Intern 2026 Opportunities (Bari) IT-BA-BARI-STRADA PROVINCIALE PER MODUGNO 10+C613 posted: Posted 24 Days Ago

Senior Mechanical Engineer (M/F/D) IT-BA-BARI-STRADA PROVINCIALE PER MODUGNO 10+C613 posted: Posted Today

Software Engineer II, Annapurna Labs ML Acceleration System Software 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. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team

Principal Applied Scientist, ML Codesign Sunnyvale, California, USA Define the joint optimization of model compression and silicon architecture for Amazon's next generation of edge and cloud inference accelerators. Your work will set the technical targets that propagate across the model, compiler, runtime, and silicon stack. We are hiring a Principal Applied Scientist to be the technical leader who closes the loop between compression science and silicon design. Today's generation ships advanced quantization and large-model distillation in production, running multi-billion parameter language models at inference economics typical of much larger systems. Future generations target significantly larger models at the edge and in the cloud. You will be a principal architect of the next-generation accelerator and of the compression algorithms it executes natively. Few roles in the industry let one technical leader influence the model, the compiler, the runtime, and the silicon without organizational friction. This is one of them. You have spent the last several years thinking about why hardware decisions and accuracy decisions live in different teams, and you want to be the person who owns both. You have published at MLSys, ISCA, MICRO, NeurIPS, or ICML on quantization, pruning, or hardware-aware training, and you want your next paper to ship in a chip rather than in a benchmark suite. You want a vertical stack-model, compression, compiler, runtime, operating system, silicon-where the same engineering organization owns every layer and a principal architect can move all of them. Key job responsibilities • Define the hardware-aware compression roadmap for next-generation accelerators, working

Software Engineer II, Annapurna Labs ML Acceleration Systems Software 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. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server

Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software 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. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server

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

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

Embedded MDS Engineer US-TX-HOUSTON-575 N. DAIRY ASHFORD RD, ENERGY CENTER II EC2 posted: Posted 30+ Days Ago

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)

Principal Embedded Crypto Software Developer (m/f/d) 4 Locations posted: Posted Yesterday

Computer Scientist ( Python ) Bangalore posted: Posted Today

Embedded Software Engineer, Graviton Tel Aviv-Yafo, Tel Aviv, 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. Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. The AWS Graviton SW team is looking for a Senior Embedded Engineer to join us in building next generation platforms. At the platforms team, you'll be working on large and complicated boards, bringing our Silicon devices into the AWS fleet. You'll have the opportunity to shape our next gen platforms and work on the technologies that power the world's largest Cloud provider. Are you ready to join the future? Key job responsibilities Annapurna Labs, as part of Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud customers. Annapurna Labs is like a big start-up in AWS. We develop cutting-edge technologies, work with amazingly talented engineers, and truly shape the future. Thanks to our teams' breadth of professional engineers, we have been able to improve AWS cloud networking infrastructure, with products such as Elastic Network Adapter

Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have

Principal Embedded Software Engineer Clonmel 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. Advancing possibilities for a brighter tomorrow We are seeking a Principal Embedded Software Engineer on a permanent basis to join our team. Job Purpose: We are looking for a Principal Embedded Software Engineer to develop safety-critical embedded software for active implantable urology devices. In this role, you will design, implement, and verify software that controls implantable functionality, sensing, communication, and device safety. The role requires a strong understanding of embedded systems development in a regulated medical device environment. Key Responsibilities: Design, implement, and test embedded software for active implantable devices. Collaborate with systems and hardware teams to translate requirements into embedded software architecture and design. Develop low-power, real-time software for implantable platforms. Support software integration, bring-up, and system-level debugging. Ensure software development complies with software lifecycle processes and design controls. Conduct software

Chip Design Engineer, Graviton Team Tel Aviv-Yafo, TA, 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, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. Take part in the development of cutting-edge products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, and fast-paced environment. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. AWS Graviton is a family of processors designed to deliver the best price performance for cloud workloads running in Amazon Elastic Compute Cloud (Amazon EC2), the world's largest leading Cloud vendor. We are looking for talented engineers to join our Chip Design team, working on the Graviton product line. Our chip design team is in charge of defining the product's features and working on their architecture and development. Our team

Embedded Software Engineer GB-Ashby de la Zouch-Power House, Excelsior Road posted: Posted 14 Days Ago

Senior Embedded Software Engineer (M/F/D) 2 Locations posted: Posted Today

Embedded Software Platform Leader F/H 4 Locations posted: Posted 30+ Days Ago

Software Development Manager, Robotic Delivery & Packaging Innovation North Reading, Massachusetts, USA Have you ever ordered a product from Amazon and been amazed at how fast you receive it? Every day, Amazon engineers are relentlessly working to decrease the time between clicking and delivery for our customers. Robotic Delivery & Packaging Innovation (RDPI) powers the physical engine at the heart of Amazon. RDPI builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many millions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. The RDPI Sortation teams build and maintain core software and services in Amazon Fulfillment Centers that help move billions of items and packages across our network and to our customers in the most efficient way possible. If you've ever bought something from Amazon, there's a very good chance that our software was directly involved in getting it to you. If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate software developers, this might be the role for you. A successful candidate for this position will be able to build new software from the ground up, create pragmatic solutions for complex business