Phinia Inc jobs

Senior HR Business Partner CAW60: Sensitech, Inc., 8801 148th Avenue North East, Redmond, WA, 98052 USA posted: Posted 15 Days Ago

Quality Technician CAW60: Sensitech, Inc., 8801 148th Avenue North East, Redmond, WA, 98052 USA posted: Posted 21 Days Ago

Configuration Associate I CAW60: Sensitech, Inc., 8801 148th Avenue North East, Redmond, WA, 98052 USA posted: Posted 7 Days Ago

Configuration Associate I CAW60: Sensitech, Inc., 8801 148th Avenue North East, Redmond, WA, 98052 USA posted: Posted 16 Days Ago

Regulatory Affairs & Compliance Lead CAM60: Sensitech, Inc., 800 Cummings Center, Beverly, MA, 01915 USA posted: Posted 23 Days Ago

Senior Software Engineer CAM60: Sensitech, Inc., 800 Cummings Center, Beverly, MA, 01915 USA posted: Posted 25 Days Ago

Client Services Associate CAM60: Sensitech, Inc., 800 Cummings Center, Beverly, MA, 01915 USA posted: Posted Today

Chief Compliance Officer (CCO) for Truist Investment Services, Inc. and Truist Advisory Services, Inc. 3 Locations posted: Posted 14 Days Ago

Program Manager, Life Sciences CAM60: Sensitech, Inc., 800 Cummings Center, Beverly, MA, 01915 USA posted: Posted 2 Days Ago

Innesäljare Sundbyberg posted: Posted 10 Days Ago

Data Scientist Philadelphia, PA

Physicist Cambridge posted: Posted 3 Days Ago

Project Management Intern - Fall CAM60: Sensitech, Inc., 800 Cummings Center, Beverly, MA, 01915 USA posted: Posted 15 Days Ago

Servicetekniker Norrköping posted: Posted 18 Days Ago

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 Embedded Software Engineer, EFA Annapurna Tel Aviv-Yafo, Tel Aviv, ISR Join Annapurna Labs and take part in the development of next generation products that will define the future of the cloud. Annapurna Labs, as part of Amazon, is looking for a Software Embedded Engineer with experience in networking and software, to join the networking SW group. We are looking for an engineer with the ability to thrive in an environment with complex software and hardware designs, who can take ownership, and lead the development of key SW components for Amazon network cards. You will take part in developing, integrating, and deploying advanced networking technologies, starting from the identification and definition of project requirements, feature development, deployment and operational support, on a very large scale. Key job responsibilities As part of your role you will join a team of engineers who are developing software implementing AWS RDMA technology, for Machine Learning and High Performance Computing (HPC) customers. Your code will run on millions of servers worldwide, as part of the Nitro system. Not many software engineers in the world have the opportunity to create code that runs at such a large scale. The role includes working closely with HW, FW, and SW teams all over the world. About the team The team is responsible for AWS HPC ( High performance computing) and ML (Machine learning) networking device SW. For more information we invite you to watch AWS re:Invent 2022 Keynotes https://www.youtube.com/watch?v=R11YgBEZzqE HPC7g and ML (from 9:17) AWS re:Invent 2025 Keynote

Principal Technical Program Manager , Annapurna ML Seattle, Washington, USA Annapurna Neuron is the team that delivers the software that powers the Inferentia and Trainium-based Inf1, Inf2, Trn1 an Trn1n families of Machine Learning Accelerated EC2 instances. We build a Compiler , Drivers, Runtime and a fully integrated suite of Pytorch and Tensorflow stacks, providing the highest-scale, distributed Training and Inference servers available. We deliver the solutions powering many of Amazon and Amazon customers largest Machine Learning services. We're seeking a Principal Program Manager for the Annapurna ML, Neuron team. In this role you will be owning the capacity request lifecycle from intake through approval and delivery, coordinating across EC2, finance, and internal engineering stakeholders to secure and allocate Trainium instances. Establish and maintain dashboards, utilization metrics, and recurring review mechanisms to proactively identify gaps and drive resolution. You will be responsible for scoping and delivering large projects end-to-end. Responsibilities include collection of business and systems requirements from internal and external customers, writing specifications, driving project schedules from design to release, and managing the production launch. You will lead and coordinate design/implementation efforts between Neuron, internal teams and external customers and partners to develop optimal solutions for new features, verticals, and markets. You will be expected to make appropriate tradeoffs to optimize time-to-market, clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams. The right candidate will possess a strong technical and program management background, will have demonstrated experience leading medium to large projects, and

Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability Austin, Texas, USA Leading the manufacturing of AI Servers and Systems based on Trainium chips across cross-geographical ODMs and CMs. As part of the Manufacturing, Quality and Reliability Team in Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world's largest Cloud Services provider. Within Annapurna Labs team is building the next generation cloud server infrastructure. Our success depends on delivering world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. Our servers include accelerators such as Trainium and Inferentia which are machine learning products designed to deliver high performance at low cost. The Trainium Manufacturing, Quality and Reliability Team is part of Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world's largest Cloud Services provider. We are seeking a talented and motivated Manufacturing Engineer with a proven track record of implementing best in class test techniques and processes within a complex supply chain. As a member of the Cloud-Scale Machine Learning Acceleration team, you will be the interface between the system engineering team and the ODM and CM partners. As a Manufacturing Engineer you will engage with an experienced cross-disciplinary staff to conceive and design infrastructure technologies. You will work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test in manufacturing. A successful candidate will be responsive, flexible and able to succeed within an open collaborative peer environment.

Manager Thane posted: Posted 30+ Days Ago

Senior ASIC Design Infrastructure & Methodologies engineer, MLA-MI - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team designs and develops the SOCs that power today's AI workloads across datacenters worldwide. As an ASIC Design Methodologies and Infrastructure Engineer, you'll play a foundational role in the project by automating design flows and building large-scale solutions that accelerate silicon development and we're just getting started here at Amazon! We're looking for a strong engineer who is passionate about creating design flows and automation flows that enhance both the productivity and quality of our design team. The ideal candidate brings proven expertise in RTL design and front-end methodologies while having good software skills and a drive for improving and automating flows. In this role, you'll collaborate closely with architects, designers, verification engineers, and other cross-functional team members to refine existing design flows and introduce innovative automation solutions that streamline flows and elevate overall design quality. Key job responsibilities Core Responsibilities: - Develop and implement new methodologies and infrastructure to empower design teams to operate efficiently while maintaining high-quality standards. - Enhance and build design flows to boost the overall productivity of design teams. - Collaborate with vendors to evaluate and qualify new design tools and updated tool versions. About the team Annapurna Labs (our organization within AWS UC) 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

Customer Success Architect, EMEA Remote, Austria; Remote, Germany GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Customer Success Architect (CSA) team focuses on the themes of align, enable, and expand. The Customer Success Architect (CSA) is a highly strategic position designed to provide unparalleled value to

Senior Solutions Architect, Financial Services - NYC Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Candidates must be located in the New York City area for this opening. As a Senior Solutions Architect, you'll be a trusted advisor to financial services customers in the New

Senior Machine Learning Compiler Engineer Seattle, Washington, USA The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum

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