Design, integrate, and validate FPGA-based systems for next‑generation SSD and storage technologies.
Compensation
40.000,00 € - 69.000,00 € per year
Responsibilities
Define and develop system architectures for FPGA-based SSD and storage validation platforms.
Architect, integrate, and configure complex FPGA subsystems, including PCIe, DMA, memory, embedded processors, high‑speed interfaces, control, monitoring, and debug functionality.
Drive system‑level integration, bring‑up, validation, and root‑cause analysis across FPGA hardware, embedded firmware, host software, storage devices, and PCIe, NVMe, and UFS protocols.
Perform system and protocol‑level debugging using FPGA embedded instrumentation, protocol analyzers, oscilloscopes, logic analyzers, and other lab equipment.
Collaborate with firmware, silicon, validation, and product engineering teams to define system requirements, interfaces, architectures, validation strategies, and develop technical documentation.
Requirements
Master’s degree in Electronic Engineering, Computer Engineering, or a related field
Join the Membership team to shape the future of Uber One by architecting next-generation member experiences and benefits, designing highly reliable and scalable systems that power initiatives across UberEats and UberX.
Locations (3)
New York City, New York, United States
San Francisco, California, United States
Sunnyvale, California, United States
Compensation
For New York City, NY-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
Responsibilities
Identify new impactful opportunities to evolve the Uber One program across UberEats and UberX
Develop high-QPS, low-latency services for benefits, offers, savings, and engagement.
Lead development and enhancement of advanced digital capacity models supporting long‑range planning and enterprise decision‑making in Orthopaedics.
Compensation
The anticipated base pay range for this position is:
€64,300.00 - €102,925.00
Responsibilities
Develop, maintain, and continuously improve Strategic Capacity Management models that support long‑range planning and enterprise decision‑making.
Build and manage end‑to‑end supply chain models incorporating manufacturing and distribution networks, production routings, bill of materials, capacity constraints, inventory policies, and future investment plans.
Perform scenario analysis to evaluate capacity expansion opportunities, sourcing strategies, process improvements, network redesign initiatives, and demand uncertainty.
Support annual Long‑Range Portfolio Planning (LRPP) and Long Range Financial Plan (LRFP) cycles by assessing future capacity requirements and identifying potential supply risks across a 2‑to‑10‑year planning horizon.
Partner with Manufacturing, Business Excellence, Planning, Source, Deliver, Engineering, Finance, Product Management, and Value Stream Leadership teams to ensure model accuracy and alignment with business priorities.
Requirements
Bachelor's degree in Supply Chain, Engineering, Operations Research, Industrial Engineering, Data Science, Mathematics, Business Analytics, or a related STEM discipline.
Solid-State Automation & Data Lead
Johnson & Johnson Innovative Medicine · Posted Nov 10, 2026
Lead the mapping, design, implementation and scaling of automated solid-state workflows, translating scientific and business requirements into practical solutions and reusable platforms.
Compensation
The anticipated base pay range for this position is:
€74,000.00 - €117,530.00
Responsibilities
Lead the mapping, design, implementation and scaling of automated solid-state workflows
Integrate laboratory equipment, automation platforms and digital systems to create connected, data-enabled laboratory environments
Translate solid-state expertise into experiment definitions, data standards, decision rules and automated analysis and reporting workflows
Design and execute solid-form screening and characterization studies
Partner with HT groups, CTU, engineering, robotics, laboratory orchestration, data science and project teams
Requirements
MSc or PhD in chemical engineering, chemistry, pharmaceutical or materials sciences, engineering, computer/data science, or a related discipline
Responsible for designing, developing, and maintaining scalable software applications across digital channels, leading code reviews, mentoring junior engineers, and providing production support.
Compensation
Pay Range Minimum:
$86,400.00
Pay Range Maximum:
$138,600.00
Responsibilities
Design and write code adhering to coding standards
Perform code reviews
Participate in all scrum ceremonies and sprint planning
Create tasks in Jira or RTC and update status
Monitor production schedule and report issues
Requirements
Bachelor's Degree in Computer Science, Computer Engineering or Closely Related Field
Master's Degree in Computer Science, Computer Engineering or Related Field
A short, paid project testing whether AI coding agents work as well on instructions written in Japanese as they do in English for software engineering tasks.
Compensation
US$75 - US$90 per hour
Responsibilities
Translate English software engineering task briefs into Japanese while keeping requirements, constraints, and success conditions.
Compare translations with English source to check for missing, added, or changed meaning.
Log corrections by error type.
Read and understand technical text and code context.
Collaborate with talented engineers, PMs, Data Science and Designers from across the company to design, build, and optimize products used by millions of members globally
Architect robust, highly available, and scalable systems designed to resolve ambiguous technical challenges to serve millions of users
Align the org on complex tradeoffs between various different technical designs and solutions
Requirements
Bachelor's (or higher) in Computer Science, Engineering, or related field.
Nice to have: Master's degree in Engineering, Supply Chain, Operations Research, Analytics, Business, or a related field.
Nice to have: Experience with planning and analytics tools such as OMP, SAP, Power BI, Tableau, Alteryx, SQL, Python, R, Simio, AnyLogic, or similar technologies.
Nice to have: Experience supporting long‑range planning, strategic planning, network design, or capacity management processes.
Nice to have: Experience working in a global matrix organization and collaborating with geographically dispersed teams.
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