Ultra jobs

Planning Program Manager, Ultrafast delivery Tokyo, JPN Amazon is seeking a Program Manager for Long-Term Planning to architect the future of our ultra-fast delivery network. In this role, you will own the strategic roadmap for our network, determining launch planning, how our Under-the-Roof (UTR) and On-the-Road (OTR) operations must evolve, how to optimize channel strategies to balance speed with cost-efficiency. You will be the bridge between high-level business strategy and operational reality. Key job responsibilities -Capacity & Resource Planning Strategy: Lead long-term labor and throughput planning ensuring the network can handle growth. -Channel & Delivery Strategy: Develop and refine channel distribution strategies between dedicated fleets and 3P partners to ensure "On-the-Road" (OTR) scalability during peak surges. -Strategic Feature Roadmap: Partner with Tech and Product teams to define the requirements for next-generation planning tools, such as automated routing systems and AI-driven inventory placement. -Own the "Cost-to-Serve" roadmap. Identify long-term structural improvements that drive down the cost per shipment through better topology and density. About the team We are establishing new benchmarks in ultra-fast delivery service. Our team operates at the intersection of innovation and execution, creating first-of-its-kind solutions while maintaining a customer-centric approach. We are building foundational elements of new network from the ground up, including development of operational frameworks, technology integration, and service optimization. The team consistently demonstrates agility in learning and implementing improvements, turning challenges into opportunities for growth. Our collaborative environment encourages experimentation and rapid iteration, allowing us to establish robust playbooks that will shape the future. Basic

Sr Staff Engineer Signal Processing United States-California-McClellan RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: SCI 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 Mission Systems is seeking a Senior Staff System Engineer Signal Processing background to work in Sacramento, California . Join a team that develops transformative signal processing solutions to solve complex challenges in Signals Intelligence (SIGINT). Your work will contribute to real-world national security initiatives. We offer a wide variety of professional development opportunities, mentorship by senior engineers, and access to cutting-edge tools and technologies like Ultra-Wideband (UWB) Software-Defined Radios (SDRs) and Graphics Processing Units (GPUs) for deployment of advanced signal processing algorithms. This role requires no clearance to

CDL A O/O- **MF** UD-DEARBORN, MI posted: Posted 30+ Days Ago

Stagiaire Ingénieur d'Application Ultrasons WHS Sud Ouest Merignac posted: Posted 8 Days Ago

Program Manager, IN-SME Bengaluru, Karnataka, IND The Global Specialty Fulfillment (GSF) Team is responsible for building and driving the next generation of operational infrastructure for Amazon's Hub-Spoke business to deliver best-in-class customer experience at the fastest speeds and other upcoming exciting new businesses. Online grocery and ultra-fast delivery are growing at an exponential rate, and with planned expansion, we expect volume to grow by several orders of magnitude this year and beyond. Join our team of Fulfillment and Distribution networks across India serving highly engaged customers! This is a unique opportunity to play a key role in groundbreaking initiatives, solving challenging and interesting problems as we build the first-ever distribution network and operational capabilities tailored to grocery and ultra-fast customer offerings. Key job responsibilities As a domain expert and consultant for all system/process queries, you will: a. Serve as SME for AFTX and FaaST systems. Be a SPOC for GSF Distribution, resolving system and API-related issues for IB (VAST, ePOD, etc.) and OB (MTR, Rodeo, among others). Identify appropriate teams to raise SIMs and work on swift resolution. b. Act as domain interface with external teams (AFT/FaaST/Trans/Category/SnOP) on system or process-related issues. Own mechanisms for updates and blurbs in MBRs regarding systemic changes and progress on plans. c. Lead network-level best practice identification, design, and standardization. Benchmark with NA/IN operations on processes, execute must-haves, and own OP requirements. d. Collaborate with network SME to follow up on critical tickets (Severity 3 and above) for resolution. e. Provide startup support for

Semiconductor UPW (Ultrapure Water) System Lead Greenville, US-SC, United States

Senior Staff Maintenance Technician- UPW 5204 E Ben White Blvd, Austin, TX 78741, USA Senior Staff Maintenance Technician- UPW 5204 E Ben White Blvd, Austin, TX 78741, USA Posted Tuesday, June 9, 2026 Major Areas of Accountability: Daily responsibilities include supporting the operation and maintenance of the UPW and IWN process systems. Participate as a member of the RODI operations team working with the SkyWater Technologies UPW System Owner to ensure accurate and complete operations deliverables. Daily interface with operation personnel and facilities engineers and other technicians to work in an operating factory. Troubleshooting of field devices and process equipment to clearly identify process out of spec conditions and assist in root cause analysis and recovery of system to in spec state of operation. Shift: C Shift: Thursday through Saturday in week one, and Wednesday through Saturday in week two, from 6:55am - 7:10pm Required Qualifications: Education: High School or GED Experience: 7-10 years of work experience (water plant) Strong understanding of Ultra-Pure Water and Industrial Wastewater Systems and Operation. Experience with all types of UPW instrumentation including Flow, Pressure, Temperature, Conductivity, Control Valves, etc. installation and application. Proficiency in Microsoft Office Suite Good technical writing skills. Must be able to write work plans for scheduled maintenance work to be conducted without any unplanned impacts, i.e. rotating equipment, workarounds, and bringing systems back online. Understanding of overall system installation from a process implementation standpoint. Skills in system operation and maintenance for an Ultra-Pure Water System in a semiconductor factory. Knowledge

Universal Banker PT (20hrs) - Everett Branch Everett, PA posted: Posted 30+ Days Ago

Product Manager, Data & Teleoperation Palo Alto, California, United States Mind Robotics is building intelligent robotics for industrial deployment. We believe the fastest path to broadly capable robots is through clearly defined, high-impact environments. We are starting where the need is most acute and the environment is most exacting: the factory floor. Role Summary The Product Manager for Data & Teleoperation sits at the intersection of human intent and robotic embodiment, treating the end-to-end data collection pipeline as a high-fidelity product. Your mission is to define and execute the roadmap for our teleoperation platform, ensuring that human demonstrations translate into the high-quality data necessary to ground our AI models in physical reality. You will bridge the gap between AI Research, Engineering, and Operations to build a scalable data flywheel that validates hardware and evaluates policy stability. Key Responsibilities Product Strategy & Roadmap - Teleoperation Platform Roadmap: Own the product vision and multi-quarter roadmap for teleoperation "cockpits," prioritizing features like VR integration, haptics, and ultra-low-latency streaming to improve operator intuition. - Feature Definition & Hardware UX: Translate hardware iteration needs (gripper design, field-of-view) into product requirements for the teleoperation interface, ensuring hardware is validated through rapid human feedback loops. - Technological Innovation: Research and scope cutting-edge technologies, including VR, haptics, and ultra-low-latency streaming to enhance operator intuition. Data Product Lifecycle - Data Fidelity & Integrity: Define specifications for high-fidelity data capture, ensuring kinematics and latency parameters meet the standards required for robot-learnable datasets. - Recovery & Edge-Case Strategy: Productize the "recovery

Account Representative - Chicago Chicago, IL posted:

Program Manager, Ultra Fast Delivery, Launch and Expansion Tokyo, JPN Amazon Logistics (AMZL) is responsible for Amazon's last-mile delivery and operates a large-scale network across Japan by combining multiple types of delivery nodes. Through Delivery Stations (DS), Amazon Partners Logistics (AMPL), eXchange Point (XPT), and Sub Same-Day delivery station (SSD), we continuously challenge ourselves to deliver packages faster, more reliably, and at lower cost. JP Launch and Expansion (L&E) is the project management organization that turns the AMZL network strategy into reality. L&E owns the end-to-end execution-from upstream activities such as site selection, ROI modeling, and CAR approvals, through launch planning, hiring, system configuration, training, and go-live readiness. This team does not stop at planning or approvals; L&E makes decisions, drives execution on the ground, and builds Amazon Japan's operations as real, operating sites. L&E is currently composed of the following teams: Core Planning and Execution (CPE) CPE manages the Core network across DS, XPT, and AMPL, covering new launches, closures, and XPT parent changes. The team leads end-to-end execution, including site selection, ROI design, CAR approvals, and start-up execution, while optimizing the network from a mid- to long-term perspective. - A team that designs, implements, and optimizes the Core network with a long-term view. SSD Planning and Execution (SPE) SPE owns SSD and AMZL+ projects from launch through closure. To support the growth of Same-Day Delivery, the team drives project execution that balances speed with repeatability and scalability. - A team that rapidly scales the Same-Day Delivery network, a

Applied Scientist, Execution and Planning Science Bellevue, Washington, USA The NA AMZL Supply Chain organization leads the innovation of Amazon's Last Mile. We are an Operations org that hires and manages associates to deliver packages next day and sub-same day. Our key vision is to transform the online experience by enabling ultra-fast delivery at lower cost possible. We're growing in scale and volume, by orders of magnitude. The Execution and Planning Science-Engineering (EPSE) team sits within NA AMZL Supply Chain with the mission to build world-class automated Science-Tech products that enable ultra-fast delivery speeds for Amazon customers and job market opportunities for Amazon associates. We are team of Scientists, Engineers and Tech leaders who invent and implement scalable algorithms for automated decision making in the Operations space. We are looking for an Applied Scientist to contribute to the future of Last Mile associate labor planning. Work will include advising on evolving flexible labor planning programs, optimizing our supply chain network, providing data-driven strategies to improve cost, reliability or speed. Designing, implementing and evaluating experiments, and measuring impact. Work will feed strategic analyses and also be part of production systems. Experience needed in Optimization and Statistics/ML. Key job responsibilities As an Applied Scientist, you'll design, model, develop and implement state-of-the-art models and solutions. As part of your role you will regularly interact with software engineering teams and business leadership. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS,

Unified Communication Engineer Singapore,SGP posted: Posted 30+ Days Ago

Universal Banker - Spring Hill Spring Hill, FL posted: Posted 4 Days Ago

Sr. Medical Science Liaison – Oncology (Field-Based Genomics/MRD Specialist) Remote At Personalis, we are transforming the active management of cancer through breakthrough personalized testing. We aim to drive a new paradigm for cancer management, guiding care from biopsy through the life of the patient. Our highly sensitive assays combine tumor-and-normal profiling with proprietary algorithms to deliver advanced insights even as cancer evolves over time. Our products are designed to detect minimal residual disease (MRD) and recurrence at the earliest timepoints, enable selection of targeted therapies based on ultra-comprehensive genomic profiling, and enhance biomarker strategy for drug development. Personalis is based in Fremont, California. Territory: East or Central Summary: As a member of the Medical Affairs team, the Medical Science Liaison (MSL) - Oncology serves as a field-based scientific expert who engages clinicians, researchers, and other healthcare professionals to support Personalis' oncology genomics portfolio. This role has a primary focus on NeXT Personal® , an ultra-sensitive, tumor-informed circulating tumor DNA (ctDNA) assay designed for minimal residual disease (MRD) detection, while also providing broader scientific support across our product line. The MSL acts as a bridge between Personalis and the healthcare community, facilitating the exchange of medical information, building key relationships with opinion leaders, and driving awareness of our cutting-edge assays. In addition, the MSL provides field-based commercial support to the clinical sales team through education and training initiatives, ensuring that both internal teams and external stakeholders are well-informed about the clinical value and appropriate use of our products. Days onsite: Remote

Universal Banker - Part Time 20hrs - Pooler Godley Station Pooler, GA posted: Posted 17 Days Ago

Principal Embedded Software Architect – Edge AI MCU Austin, Texas, United States Company Overview Ambiq is on a mission to enable intelligence everywhere - powering the AI edge revolution with the world's lowest-power semiconductor solutions. Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 290 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications. Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology. We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency. At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve. If that's you, join us - the intelligence everywhere revolution starts here. Austin, TX - Onsite (5 days/week) U.S. Work Authorization Required (No Sponsorship Available) Architect the Software Foundation for Ultra-Low-Power Edge AI Silicon Ambiq designs and ships ultra-low-power Edge AI MCUs that enable real-time intelligence directly on device. We are expanding our Austin engineering organization and hiring a Principal Embedded Software Architect to define the software architecture and requirements for our next-generation Edge AI MCU platforms. This role sits at the hardware/software boundary - partnering directly with SoC architects, product teams, IP vendors, and embedded software leaders to

Vertriebsspezialist (m/w/d) Ultraschall Frauenheilkunde Region Düsseldorf / Bergisches Land / Dortmund / Sauerland 2 Locations posted: Posted 4 Days Ago

Staff Site Reliability Engineer – Automation and Platform Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs. As a Staff SRE, you will lead the engineering effort to eliminate toil at scale by driving implementation of self-service delivery pipelines, shared observability common tooling. This role starts

Universal Banker (Type 2) RBWM Hexham, United Kingdom

Staff Embedded GPU Software Engineer Austin, Texas, United States Company Overview Ambiq is on a mission to enable intelligence everywhere - powering the AI edge revolution with the world's lowest-power semiconductor solutions. Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 290 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications. Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology. We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency. At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve. If that's you, join us - the intelligence everywhere revolution starts here. Build Graphics That Run on Ultra-Low-Power Silicon At Ambiq, we design ultra-low-power MCUs and Edge AI SoCs that enable real-time intelligence directly on device. We're expanding our Austin engineering team and hiring a Staff Embedded Graphics Software Engineer to lead the development of the graphics software stack for our current and next-generation MCU platforms. This is not a UI role. This is embedded GPU integration, HAL design, and silicon bring-up - at the hardware/software boundary. You'll shape how graphics capabilities are exposed, optimized, validated, and shipped on real silicon. What

UX Architect Remote-MO posted: Posted 11 Days Ago

Staff Python / PyTorch Developer — Frontend Inference Compiler – Dubai Europe; Remote, California, United States; UAE Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role: Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available. Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount

Universal Banker PT/20HR - Sunset Place Miami, FL posted: Posted 8 Days Ago