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Senior Or Staff Photolithography Materials Engineer Jobs

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Senior Systems Design & Integration Specialist Company: The Boeing Company The Boeing Company is currently seeking a Senior Systems Design & Integration Specialist to join the team in Seal Beach, CA; Berkeley, MO; Hazelwood, MO; Chicago, IL; or Everett, WA. The System Design & Integration Specialist will work proactively, while being a customer-obsessed problem solver with a true "find a way" attitude — someone who champions customer needs and owns solutions from concept through implementation. If you thrive collaborating across globally dispersed teams and vendors, lead meetings with confidence, and enjoy using strong analytical skills and Boeing in-house tools to tackle challenging problems independently, you'll excel here. Bring your detail-oriented, organized approach and ability to juggle multiple projects and deadlines and join us to make a measurable impact on high-value customer outcomes. Position Responsibilities: Act as workload manager for consultation requests submitted through any means (official Service Now requests, email requests, shoulder taps, etc.) with goal of having customers be comfortable with researching self-help articles and submitting requests through correct channels Gather customer feedback on processes and find ways to improve overall time to complete requests Incorporate feedback into regular daily activities utilizing Agile methodology, or Product Lifecycle Management processes Consult with customers (end-users) to gather requirements and identify if needs could be met with existing solutions or not Prioritize those requests to design, test, and implement a solution Work with appropriate product supplie

azureExcelrecruitment
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The AML Risk Management Senior Lead Analyst is a senior level position responsible for establishing internal procedures to prevent money laundering and assist in all matters concerning financial crimes in coordination with the broader AML team. The overall objective is to utilize established disciplinary knowledge to identify inconsistencies in data or result and formulate strategic recommendations on policies, procedures, and practices. Responsibilities: Execute and implement firm-wide AML risk management policy and strategic direction for the Markets Institutional line of business. Maintain AML compliance program for the business including assessment of risks and the development of policies, procedures, and governance, including those pertaining to an institutional broker dealer. Identify and assess risk, vulnerabilities, and opportunities for efficient and effective risk coverage. Work within team and across business/functional line management to assess complex issues, structure potential solutions, and drive effective resolution within permissible statutory and regulatory frameworks. Analyze data, prepare and present regional/global reports related to AML risk assessments. Monitor AML related issues and escalations with senior management and global partners. Evaluate and respond to escalated matters, further escalate as required, and advise senior management on next steps as needed. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications

artificial intelligenceai
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Nvidia
📍 Santa Clara, United States
18 days ago

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

pythonsqlkubernetes
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Nvidia
📍 Santa Clara, United States
18 days ago

NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU/ SOC Architecture teams. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of SoC & Systems algorithms and features, across datacenter, automotive, and client products Build and deliver platforms for SOC's that enable left shift for the SW teams aligned with project milestones Work closely with the SOC architects and guide modeling teams to deliver high-quality functional models that involve SOC+GPU use cases Collaborate with our EDA partners to align on customer-facing technologies Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting Ensure alignment between the various modeling teams at NVIDIA, GPU modeling teams, and modeling teams overseas What we need to see: Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience) with 5+ years of relevant work experience. Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST) Computer Architecture background with experience in modelling wit

pythondockerai
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18 days ago

The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle. What you will be doing: Own end-to-end manufacturing test methodology across all test stages. Translate system specs and product POR into DFP requirements, test content, coverage, and flows. Define and maintain the DFP roadmap, including infrastructure and turning point planning. Partner multi-functionally to implement test content, debug hooks, and coverage improvements. Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs. Embed testability requirements into design to enable robust screening and debug. Define data and analytics frameworks to support yield analysis and continuous improvement. Lead DFP documentation as the single source of truth and feed findings into future methodologies. What we need to see: MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) 6&#43; years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar. Hands‑on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization. Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis. <

pythonsqlai
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NVIDIA silicon runs the world's AI infrastructure. The frequency it delivers across every voltage, process corner, and workload is not assumed. It is measured, correlated, and validated. This role does that work. The Silicon Co-Design Group is where architecture intent becomes silicon reality. We own the boundary between what was designed and what was built, and we are the team that knows the difference. When a program ships at frequency and at quality, this team is a reason why. You will be the person who follows through between simulation and silicon. When the model is wrong, a frequency corner that doesn't hold, a Vmin that walks, a critical path that timing analysis missed, you find out why, and your data is what the rest of the program acts on. Architecture, design, and product teams do not guess. They use your numbers. The engineers who do this well are rare. They think like circuit designers, work like experimentalists, and reason like data scientists. If that is you, read on. What you'll be doing: Own silicon speed characterization from first power-on through production sign-off, covering frequency, Vmin, Vmax, and timing margins across the full PVT space. Close the correlation gap. Tie pre-silicon timing analysis and critical path predictions to measured silicon, quantify where the model diverges from reality, and produce analysis that architecture and design can act on with confidence. Trace failures to their source, whether a microarchitectural bottleneck, a critical path that doesn't close under voltage, a clocking issue, or a process corner the model didn't anticipate, and drive the resolution. Own and build AI agents that work at your direction: automated test orchestration, intelligent data pipelines, and analysis flows that expand coverage and compress cycle time without sacrificing difficulty. Know where AI accelerates real work and whe

pythonai
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NR
18 days ago

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity We are a global team of innovators shaping the future of observability. Our intelligent platform gives customers real-time insight into complex systems so they can innovate faster and operate reliably in an AI-first world. If you’re excited by high-throughput distributed systems and want to contribute to one of the largest and fastest-growing observability platforms, we’d love to hear from you. Join a backend engineering team focused on building and operating JVM-based services that ingest, process, and serve massive volumes of telemetry data. You’ll work on high-scale, low-latency systems that power mission-critical observability features used by engineers worldwide. What you'll do Design, build, and operate JVM-based microservices (primarily Java and Kotlin) with a focus on performance, scalability, and reliability. Own services end-to-end: architecture, implementation, deployment, monitoring, on-call participation, and continuous improvement. Apply strong concurrency and performance practices: asynchronous programming, backpressure, efficient I/O, memory management, and GC tuning. Build and evolve event-driven systems; work with Kafka for streaming, partitioning, consumer groups, and schema evolution.Instrument services for deep observability (metrics, logs, traces), define SLIs/SLOs, and use e Experience with Kafka or similar streaming technologies (topic/partition strategy, consumer lag, idempotency, schema compatibility) strongly preferred. Proficiency w

javarediskubernetes
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Plaid
📍 New York• Full-time• Remote
18 days ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Team Overview Plaid's TechOps team is the technical foundation that is a major stakeholder in keeping the company running. We own the systems, tools, and infrastructure that every Plaid employee depends on from identity and endpoint management to help desk support, office infrastructure, and the internal tooling that powers day-to-day productivity. What sets us apart from a traditional IT team is how we approach the higher level goals we have to improve our systems and tooling over time. We treat corporate infrastructure like an engineering problem: configuration lives in code when possible, endpoint provisioning is automated, access assignment is self-service, and we're always looking for ways to make our systems more reliable and our support burden smaller. We've built real momentum in that direction, and we're investing in the people and tools to take it further. We're a small team with broad ownership and high standards. We work closely with Security, Engineering, and People teams to make sure Plaid's internal environment is secure, scalable, and ready for where the company is going whether that's a new office, a new compliance requirement, or a new way of working enabled by A

REMOTEpythonaiterraform
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Plaid
📍 San Francisco• Full-time• Remote
18 days ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are looking for a Senior Financial Analyst to join the Corporate Finance team. This is the strategic, externally-oriented arm of the team — covering the board process, long range planning, capital structure, SBC and equity modeling, and enterprise-level financial strategy. You will partner closely with the CFO, Leadership, the Board, Corp Dev, and Accounting on the decisions that shape Plaid’s long-term financial trajectory. What excites us: 5+ years of work experience including financial planning & analysis, corporate finance, investment banking, private equity, strategic finance, or management consulting — ideally with tech, SaaS, or fintech exposure. Advanced financial modeling skills, with hands-on experience building long range, scenario/sensitivity, or valuation models. Strong command of consolidated financial statements, key SaaS / fintech operating metrics, and external benchmarking. Excellent communication and storytelling skills — able to move fluidly between granular model detail and an executive-level narrative for senior leaders and the Board. Proven ability to partner cross-functionally and distill complex, ambiguous topics into structured frameworks and clear

REMOTEaiaccountingfinance
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As a Senior Partner Sales Manager for MSP/MSSP’s, you will own the partner development opportunities with key Sumo Logic Service Providers. You will be a strategic thinker with a focus on driving revenue (“sell with” and “sell through”) and have a “problem-solving” mindset. You will be responsible for the overall success of the Partnership including enablement, GTM initiatives, and sales opportunities. You will collaborate closely with our Senior PSM, Sales, Marketing, and Product Management teams. Responsibilities Focused on enabling partners to drive utilization of the Sumo platform within a Service Provider (SP) together with the assigned Distribution partner. Provide on-going cross functional support to increase revenues and minimize churn. Liaise with Sumo Marketing to drive pipeline generation together with the Distribution partner through the SP, resulting in end-customer acquisition and expansion.. Drive adoption of Sumo programs for SPs within assigned territory / segment Be a conduit for SPs and Sumo’s end-user sales team where necessary to drive end-customer wins together with the SP. Lead the cross-functional relationship with assigned Distribution partner to ensure effective enablement, co-marketing, pipeline generation, and increased ARR Performance Metrics Weekly forecast of KPIs and activities that drive the success of your business Enablement and pipeline generation initiatives ARR growth and retention of assigned SPs Quarterly Business Reviews (QBR) with Distribution partner and select SPs Required Qualifications and Skills 10+ years of experience in an Account Executive, or Channel Partner role where you have exceeded your sales plan each year and document the success Understanding of cyber security landscape, cloud based solutions, and the power of SaaS Ability to travel up to 50% of the time in the UK&I & Nordics Desirable Skills Creative thinking, you look for new opportunities and ways to increase value of partnerships A ch

D
DeepIntent
📍 New York• $100K – $120K/yr
18 days ago

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: DeepIntent is seeking an experienced Senior Client Success Manager to join our Client Success team. This role owns the day-to-day management and strategic growth of client relationships, partnering closely with Sales, Platform Operations, & Analytics and cross-functional teams from early planning through execution and expansion. As a Senior Client Success Manager, you will manage a book of business, lead client strategy and execution, and proactively identify opportunities to grow and deepen partnerships. You will play a critical role in driving revenue retention, upsell, and long-term client success. The Sr Client Success Manager should have a strong knowledge of the programmatic landscape and is a key contributor in the overall growth of the company. Key Responsibilities: Own end-to-end management of assigned managed service and/or self-service client accounts Serve as the primary point of contact for clients, leading day-to-day communication, optimizations, reporting, and recommendations Build strong, trusted client relationships grounded in a deep understanding of client goals, brand strategies, and performance metrics Own campaign performance, including pacing, optimization strategy, and delivery against client KPIs Deliver strategic insights and performance narratives through reporting, post-campaign analyses, and quarterly business reviews Identify and proactively drive upsell and growth opp

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Nvidia
📍 Remote, Poland• Remote
19 days ago

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. SW Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing R&D related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: Take ownership and drive customer issues with Ethernet or InfiniBand network adapter/DPU deployments from inception to resolution. Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including but not limited to Networking products. Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. Bring independent analysis, communication, and problem-solving to customer experience. Collaborate with engineering to document, recreate and solve issues. What we need to see: BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). 8&#43; years system software developm

REMOTEkuberneteslinux
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N
19 days ago

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: Developing a highly optimized inference framework Running on the world’s largest supercomputers and data centers. The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: B.Sc. or equivalent experience in Computer Science or Software Engineering 6&#43; years of experience in modern C&#43;&#43; / C / Rust development 3 years of experience in Linux environment and familiarity with development tools Deep knowledge of the TCP/IP network stack Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) Experience in programming CUDA kernels is an advantage Familiarity with ML frameworks and LLMs Background in parallel programming / high-performance computing / RDMA t

REMOTElinuxai
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N
19 days ago

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are continually innovating to deliver new and creative, unusual solutions to extraordinary problems in a wide range of sectors. To this purpose, we are now seeking a hard-working Senior Package Layout Engineer who is committed to making a difference in the world through their contributions! This position will collaborate with Technical Package Lead and different design teams in the design and development of sophisticated, detailed layout of IC substrates for NVIDIA products. In addition, work with design teams to plan schedules, resolve costs, manufacturing, and electrical design issues. What you'll be doing: As part of a Layout team, you will collaborate to implement high speed/density ASIC packages. Perform substrate breakout patterns for ASIC packages. Optimize package pinout incorporating system level trade-offs of pins assignment. Help perform package routing, placement, stack-up, reference plane and power distribution using Cadence APD or SiP tool suite. Propose layout design trade-offs to the Technical Package Lead for resolution and implementation. Conduct design feasibility studies to evaluate the Package design goals for size, cost, and system performance. Develop symbols and CAD library databases using Cadence APD design tools Develop methodologies to improve layout productivity What we need to see: Hold a B.S. Electrical Engineering or equivalent experience 5&#43; years experience in PCB Layout of graphics cards, motherboards, line cards or other related technology. Experience with HDI designs is a plus Proven experience in substrate layout of wire bond and flip chip packages, preferred Significant background with Cadence AP

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we are seeking a Senior Account Manager who will bring technical and business insight to help grow the Networking business with Cloud Service Providers, leveraging NVIDIA’s fast-growing Datacenter Networking Business. What you'll be doing: You will be an integral part of a small, forward-thinking team responsible for a significant and rapidly growing revenue contribution to the Enterprise products group, the fastest growing and most dynamic segment at NVIDIA. Working with leading CSP to grow deployment of NVIDIA networking solutions Define and drive the discussions, strategy and tactics for achieving revenue growth Partner and collaborate with technical teams on roadmap updates, new designs, competition Representing the customer’s strategy & needs to internal stakeholders and vice versa Delivering a concise state of the business at any given time What we need to see: Bachelor’s degree or higher in related field (or equivalent experience). 12&#43; years of Technical Sales or Product Management with focus on Data Center Networking for CSPs An understanding of the business and technology landscape of CSP Data Center Networking <l

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