Senior Cpu Front End Methodology Engineer Jobs

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Project Manager - Specific to Confidential Project in Boyers, PA - Onsite 4-5 Days/Week What this job involves: Lead the end-to-end delivery of the program’s most complex, highest-value, and highest-profile mission-critical and data-center infrastructure projects. This is a project-level leadership role for the largest and most technically demanding engagements — projects where the technical scope, financial exposure, schedule risk, and client profile demand the deepest level of experience and commercial command. The Senior Project Manager owns performance across cost, schedule, scope, procurement, and client outcomes for their assigned projects, directs PMs, APMs and Project Coordinators supporting those projects, and operates as the primary point of accountability to the client and internal leadership on every engagement they carry. Your day-to-day tasks will include: Lead full project delivery on the program’s most complex and highest-value engagements, owning all performance outcomes across cost, schedule, scope, weekly OAC meetings, quality, and client satisfaction. Coordinate and direct the work of APMs and Pro

NVIDIA is looking for a Senior ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. At NVIDIA, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will partner with the design and architecture teams to help make the right implementation choices, craft and implement verification test plans, maintain regressions, close coverage and sign off design or both functional correctness and for meeting performance expectations. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! What you'll be doing: Develop test plans, tests and verification infrastructure for verifying global IP across multiple products Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL Ensure code and functional coverage of all the RTL which you will verify Build verification components using SV/UVM methodology Driving coverage-based verification closure Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: BS/MS in Electrical or Computer Engineering (or equivalent experience) 5+ years of proven design verification experience Experience in pre-silicon verification (UVM, SystemVerilog), ASIC design/implementation flow, and design automation Programming and scripting experience in Perl or Python Excellent debugging and analy

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars. 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, encouraging environment where everyone is inspired to do their best work. NVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information protection, governed data access across every collaboration and content system at NVIDIA, and the knowledge infrastructure that makes our enterprise AI trustworthy and accurate. What makes this role genuinely hard is the tension at its core: AI agents need broad, deep access to enterprise knowledge to be useful, while export controls, legal constraints, and security policy demand precise, auditable access control. Getting both right, across dozens of systems and one of the most complex enterprise environments in the industry, is the problem this team is solving. We are looking for technically strong engineers across the senior to principal level who thrive on hard infrastructure problems and want to own work that is central to how NVIDIA operates at scale. What You Will Be Doing: Sensitive Information Protection Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust. Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves. Governed Dat

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities of your team will include, but are not limited to: 1. Contributing to the development of new DRAM, emerging memory products and IP’s by enabling the overall design, layout, and optimization of Memory/Logic/Analog circuits 2. Supporting design validation & verification, reticle experiments and required tape-out revisions 3. Performing verification processes with modeling and simulation using industry standard simulators 4. Contributing to cross group communication to work towards standardization and group success 5. Working with Marketing, Probe, Assembly, Test, Process Integration, and Product Engineering groups to ensure proper manufacturability of product 6. Proactively solicit inputs from Standards, CAD, modeling, Technology Development groups to ensure the design quality and reliability 7. Driving innovation into the future Memory generations within a dynamic work environ

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables unique creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. You will design and build the next-generation architecture and software for managing storage services to support our engineers, architects with NVIDIA GPU design, VLSI, Corporate, and AI/ML teams. You will build the self-service architecture and capabilities to enable NVIDIA GPU design teams and handle services that are very critical for all NVIDIA users that require 24/7/365 availability and support. Your duties will involve leading and supporting the design of storage platform software services that not only impact revenue but also form the backbone of NVIDIA engineering infrastructure services and various business applications. What you’ll be doing: Define, Build, and manage an all-encompassing Enterprise software engineering platform to manage storage infrastructure and services consisting of a variety of enterprise appliances, networks, and open-source technologies Design and expand REST API’s that thousands of engineers will rely on for on-demand storage management to manage their workflows. Build and Integrate provisioning, metrics, monitoring, and software to enable management workflows for storage services. Develop tooling to automate deployment and management of large-scale design-storage environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources. Document the

We are now looking for a Senior Architect for GPUs and SoCs: The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of graphics and / or SOC algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features. Code coverage analysis and reporting Mentor younger engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change Help develop AI based tools to increase efficiency. What we need to see: Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 8+ years of relevant work experience or MS with 5+ years of experience or PhD with 2+ years of experience Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GC

Work Flexibility: Hybrid Stryker is seeking a Senior Product Safety Engineer who is passionate about developing safe, high-quality medical devices, enjoys solving technical problems while collaborating with cross-functional teams. This role offers an opportunity to build expertise in product safety during medical device development. What You Will Do: Work with Research and Development (R&D) teams to define and implement a product safety program plans for large, complex development programs for the Product Engineering business unit within Stryker Instruments.​ Creates product safety test plans and ensures that the plans can be completed and meet the needs of 3rd party certifier’s requirements with respect to our internal product safety testing. Apply advanced circuit and electrical system test methods Conduct or design prototyping and bench testing Conduct problem solving, identify potential solutions, and evaluate them against component and sub-system requirements Conduct research and studies to support product design Translate design inputs to engineering specifications and produce component and sub-system level designs Independently create or refine engineering documentation, such as the Design History file What You Need (Required Qualifications): Bachelor's degree in EE or related discipline and 2+ years of work experience Preferred Qualifications (Strongly Desired): Working knowledge of electrical design process, electrical components, and manufacturing methods Ability to interpret, analyze, and test electrical designs Proficiency with design and concept generation CAD, CAE, or simulation tools Ability to apply analysis tools and statistical methods Knowledge of system components a

Senior/Staff Test Engineer — Singapore. Apply via Workday.

Senior HPC Architect, Automation and At-Scale Deployment — 13 Locations. Apply via Workday.

Senior Infrastructure Automation Engineer, Compute Platform — 2 Locations. Apply via Workday.

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana About the Team Logistics Service Providers (LSPs) sit at the center of global trade. Freight forwarders, customs brokers, carriers, and 3PLs touch millions of shipments and connect shippers, suppliers, and governments. The LSP Platform team builds the products that let these companies run on Altana's network, so they can screen and clear shipments faster, protect their customers from risk and delays, and offer new trade intelligence services to the shippers they serve. About the Role As an Agent Product Manager, you'll be working closely with our strategic LSP customers in-country, working from their offices, alongside their brokers, compliance analysts, operations leads, and IT teams. You are the product owner for Altana within the account: you understand how their business actually runs, decide what Altana should do for them, and make sure it gets deployed, adopted, and expanded. You'll partner closely with our Technical Account Managers to set the strategic direction and roadmap for each account. Together, you'll define where Altana fits in the customer's operations today, where it should go over the next 12 to 24 months, and what it takes to get there. You own the product vision for the account and the outcomes it produces. You Will Work onsite with customers. Spend significant time at customer sites, learning their business models, operations, and customer relationships across forwarding, brokerage, and carriage, including the workarounds nobody writes down. Build a deep understanding of LSP business models, operations, and customer relationships across forwarding, brokerage, and carriage, and turn that into clear product priorities. Set success metrics tied to customer impact, such as fewer holds and detentions, faster clearance, lower compliance co

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong. We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking. This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters. In this role you will Lead and grow the team Manage and coach a team of Technical Support Engineers Set clear expectations for technical depth, response quality, and ownership, and give direct feedback Design a coverage model that works across time zones, including on-call and escalation paths Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices Own support outcomes Own and report the team's core metrics: CX, time to resolution, escalation rate, and more Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster Run AI-assisted support Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking to hire a qualified and experienced Senior Accountant to its Accounting Operations team in Mexico. This is a crucial role that will assist in overseeing accounting operations in a fast paced environment. The candidate should expect to leverage current skillsets while also focusing on learning quickly and adding value to the current processes. Responsibilities: Month-End Excellence: Assist in executing the monthly close process and prepare reconciliations across various accounting teams to ensure timely and accurate reporting. Process Optimization: Collaborate to streamline and enhance accounting operations, reducing the close cycle duration and driving efficiencies. Documentation & Controls: Assist in documenting and implementing scalable accounting processes and robust internal controls aligned with best practices and compliance standards. Balance Sheet Insights: Conduct flux analyses for specific balance sheet accounts, identifying trends and providing meaningful insights. Audit & Compliance Support: Partner with internal and external auditors by preparing necessary documentation and offering ongoing support throughout the audit process. SOX Leadership: Contribute to ensuring compliance with SOX requirements for accounting operations, helping to strengthen the internal control environment. Ad-Hoc Projects: Take on special projects in Accounting/Finance, working crossfunctionally to solve complex challenges and deliver impactful results and automations. Experience: Language Proficiency: Fluent in English, with excellent verbal and written communication skills. Technology Skills - Strong quantitative and qualitative analytical skills – must have significant experience in Microsoft and Google applications; Oracle is strongly prefe