Advanced Cmos Device And Process Integration Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities and Tasks: -Demonstrates thorough understanding of yield data analysis, Wafer Fabrication (Fab) processes and their common effects/signatures on yield/device. -Use knowledge of semiconductor device physics, electronics and semiconductor manufacturing process to explain and resolve yield issues using various statistical/data analysis tools. -Communicates the process/tool related yield toggles to the Fab process areas and support them in fixing the process/tool. -Should have excellent interaction with other internal Yield Enhancement (YE) groups and work to understand their constraints. -Create/participate in multi-area focus teams to solve sophisticated yield problems. -Publishes a clear Pareto of yield limiters on their specific part type. -Excellent verbal and written communication skills and the ability to present data in large meetings. -Support transfer of next generation technology from Research & Development to production Fab as and when necessary. Requirements: -Bachelor’s or advanced degree in Engineering or Science is required -Strong analytical, logical, and critical thinking skills -Effective communicator, able to collaborate across all levels -Growth mindset with a passion for continuou

As part of the Advanced Hardware Manufacturing Operations team, you will be a vital part of the Zoox Manufacturing organization responsible for building, testing, troubleshooting complex software controlled electro-mechanical sensing elements critical to Zoox’s Robo Taxi. Our team has a collaborative resilient culture marked by being curious and by an energetic approach to bring the Robo Taxi to life. You’ll be part of a passionate team dedicated to building the future of transportation. In this leadership role, you will be responsible for overseeing quality control activities for the camera, LiDAR, sensor pod and primary compute production line, ensuring compliance with standards, internal procedures, and leading a team of technicians. This role involves managing and supervising Quality employees, analyzing KPI data, implementing improvements, and providing technical guidance to the team while maintaining compliance to quality standards. In this role, you will: Provide effective supervision, mentoring and coaching to assigned employees to achieve the required quality and production goals. Supervise compliance adherence of the movement (physical and virtual) of products through the production area. Perform all personnel-related functions related to quality staff, including hiring, training, and performance evaluations. Plan and organize work to ensure delivery deadlines are met. Be the Data Steward for Manufacturing Quality on serialized production Work with the Operations. Logistics, Supplier Quality, Engineering and Manufacturing team to ensure accurate ERP transactions, documentation and proper maintenance of quality records in compliance with internal procedures, policies and regulatory requirements. Analyze and report Quality KPIs Partner with Manufacturing System Data team in resolving ERP show stoppers and improving

Sr Product Manager, Employee Experience Location: San Francisco, CA or Mountain View, CA GAQ426R322 About Databricks At Databricks, our mission is to help data teams solve the world’s toughest problems and that starts with empowering our own employees. The Databricks IT organization is a product-led team that builds intelligent, scalable systems to make every Brickster’s workday simpler, faster, and more connected. We’re reimagining how employees and managers interact with internal tools; designing a unified, AI-driven experience that integrates data, insights, and workflows across the company. We’re looking for a Senior Product Manager (L5) to lead strategy and delivery for our newly formed People Pod. This role is a "zero to one" initiative focused on building next-generation agentic workflows on top of Databricks to fundamentally enhance internal employee experience tools and extend capabilities far beyond traditional systems like Workday. The Opportunity Managers and employees at Databricks interact with dozens of systems every week, from Workday to performance and onboarding tools, often switching contexts and duplicating effort. This team is responsible for defining and delivering product vision to simplify and unify the employee experience, designing an integrated, intelligent automation layer that sits on top of our systems of record to surface the right tasks, insights, and actions in one place. As the Product Manager for the People Pod, you will own a highly visible, zero-to-one product area, driving product thought leadership to shape how Databricks scales its internal workforce lifecycle through advanced automation and specialist domain applications. What You’ll Do Own the Zero-to-One Vision: Define and evolve the long-term strategy for the unified employee and manager experience, specifically focusing on advanced agentic workflows and automation tailored to the People function. Drive Product Strategy & Automation: Partner closely with develope

Need Experience Hand Address: Advanced Energy Systems (A.D.E.S) S.A.E. - Registered office - Kanakia Wallstreet Building Wing AUnit Number 403 4thFloor Chakala Andheri Kurla Road Chakala Midc Mumbai Andheri East Maharashtra India. Facility: ADES ADMIRAL XI Qualification: 10th Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP568178

... Facility: ADANI ELBIT ADVANCED SYSTEMS - FM HYD Qualification: 12th Job Code: IJP550797 | Source: Sodexo India

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a senior engineer to improve the reliability, performance, and user experience of the high-performance computing infrastructure that supports silicon development. This role sits at the intersection of EDA, distributed systems, CI/CD, and developer productivity. You will help engineering teams run simulations, verification, coverage, and other silicon-development workloads with fewer failures, shorter feedback cycles, and better operational visibility. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Hold an advanced engineering degree (BS, MS, or PhD in EE, ECE, CS, or related field) paired with over seven years of hands-on industry experience. Bring expertise in Git branch strategies, merge conflict resolution, operational failure debugging, and software engineering repository management practices. Possess practical working knowledge of SQL databases, data query optimization, and modern structured data technologies. Leverage AI-assisted development tools and agentic workflows to solve complex technical problems, enhance automated testing, and streamline

Zoox is building the world's most advanced self-driving hardware and software solution, and nearly every part of it depends on moving data reliably. Sensor frames to perception, planner decisions to vehicle controls, telemetry to the cloud, and remote operator video back down again. All of it crosses process, host, and network boundaries under hard latency and reliability budgets, on a vehicle that has to keep working when a link degrades or a network gets congested. The Software Core Connectivity team owns that data path end to end: in-vehicle messaging (pub/sub, RPC, inter-process and inter-host transport), the vehicle's internal network, and vehicle-to-cloud connectivity. It also owns the transport and serialization abstractions the rest of the software organization builds on. Every one of those paths crosses a team boundary, so the work happens alongside firmware, product security, simulation, manufacturing, and IT, and those partners rely on this team for transport and networking depth to achieve their goals. As the team leader you will own the roadmap and the release commitments, and you will spend a real share of your time in those partnerships. In this role, you will: Own the roadmap, staffing, and release commitments across the team's messaging, in-vehicle network, and cloud connectivity work. Lead and grow a team of software engineers, run their performance and promotion cycles, and hire into the gaps. Represent the team in cross-functional programs across firmware, product security, simulation, fleet operations, and infrastructure, and build the relationships that keep shared work moving. Set the technical bar. Make the architecture calls stick, and make sure the abstractions the team ships are ones other teams want to build on. Balance interrupt-driven reliability work against long-horizon architecture, and be explicit with partners about the tradeoff. Qualificati

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. About Micron Micron is a global leader in memory and storage solutions, enabling transformative technology that enriches life for all. With over 40 years of innovation, Micron plays a pivotal role in the data-driven economy, where memory and storage are strategic differentiators. We are committed to sustainability, employee well-being, and community support, and we foster a culture of inclusion, collaboration, and continuous improvement. Job Summary Are you an aspiring engineer with passion in applying data science into complex real-life problems? Planning SIC Engineer is a great starting point! You will oversee Micron’s advanced industrial production line that qualified as part of World Economic Forum’s Global Lighthouse Network, in identifying and communicating opportunities for improvement, and proposing line direction and focus on terms of inventory scheduling. You will also work with various departments in aligning line management business rules, optimizing various scheduling rules, and setting up production reports and indices. In performing this role, you will apply manufacturing science concepts to line management and inventory scheduling. Main Responsibilities: Oversee production line to identify and communicate opportunities for improvement.

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a hands-on Manufacturing Engineer to own the manufacturing interface between package design, semiconductor assembly, package test, board assembly, and final product integration. This role is focused on making advanced packages manufacturable and transferable from design engineering into qualified OSAT processes and downstream board/system assembly. You will work closely with Packaging Engineering, Silicon Manufacturing and Test, Quality, Supply Chain, PCB/board design, and external partners such as substrate suppliers, OSATs, test houses, and contract manufacturers. The ideal candidate understands how package decisions—such as package size, substrate construction, bump and ball design, warpage, underfill, materials, and assembly location—affect package yield, package test, PCB footprint and stencil design, SMT assembly, and final product readiness. This role is remote based out of Taiwan but requires close engagement with regional OSATs, foundry/test partners, contract manufacturers, and Tenstorrent engineering teams across multiple time zones. Regular on-site presence at partner factories is expected during qualification, commissioning, build, and ramp activities. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and of

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is looking for a highly motivated and experienced Staff Physical Design Engineer to drive the physical implementation of our next-generation semiconductor chips. In this role, you will play a critical part in translating complex microarchitectures into high-performance, power-efficient silicon. Working closely with cross-functional teams, you will own block-level and top-level implementation using industry-standard EDA tools, tackle complex timing closure and power challenges, and guide designs all the way from netlist to successful foundry tapeout. Key Responsibilities Drive block-level and top-level physical design, including floor-planning, placement, clock tree synthesis (CTS), and routing. Achieve aggressive timing, power, and area (PPA) targets through advanced timing closure techniques. Perform power grid verification and manage electromigration and IR drop (EM/IR) analysis and resolution. Develop and maintain automation scripts (Tcl/Python) to streamline design flows and methodologies. Collaborate with physical verification and foundry teams to ensure design rule compliance and successful tapeout execution. Qualifications and Requirements Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, or a related field. 10–15 years of dedicated experience in physical design. Strong understanding of EDA implementation flows

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is looking for a highly experienced, hands-on Principal Solutions Engineer to lead customer and partner solution development, architecture, and deployment for our next-generation AI acceleration platform. This is a senior technical leadership role that combines customer-facing engagement, solution architecture, AI software optimization, and technical mentorship. This role will partner with strategic customers throughout their development lifecycle—from initial technical discovery, architectural evaluation, and proof-of-concepts through production deployment and scaling. Bridging the gap between AI hardware, software, systems, and customers, helping them successfully build, optimize, and scale cutting-edge AI workloads and agentic workflows on EnCharge technology. Serving as the voice of the customer, directly influencing product roadmaps, software features, and developer experience. Responsibilities Serve as the primary technical interface and trusted advisor for strategic customers and partners evaluating and deploying AI workloads on EnCharge platforms. Lead end-to-end customer engagements from technical discovery through proof-of-concept (PoC), design-in, performance benchmarking, system-level tuning, and production deployment. Support technical pre-sales efforts by clearly articulating solution value propositions, architectural differentiator

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Lead DFT Engineer Job Description: Developing silicon for edge-to-cloud computing isn't just about speed; it’s about balancing high-performance data processing with extreme power efficiency and reliability in remote environments. As the Design for Test (DFT) Lead, you will be the architect of our testing strategy, ensuring our data center chips are flawlessly manufacturable and resilient enough for edge deployment. Key Responsibilities: Architectural Leadership: Define and implement the end-to-end DFT architecture for complex SoCs, including Hierarchical DFT, Scan compression, Boundary Scan and MBIST. Edge-Specific Reliability: Develop strategies for In-System Test (IST) and power-on self-test (POST) to ensure chip health in remote edge data centers. Implementation & Flow: Oversee scan insertion, ATPG (Stuck-at, Transition, Path Delay), and Memory /Logic BIST. Cross-Functional Synergy: Collaborate with Design, Physical Design, and Yield teams to ensure high test coverage while minimizing area overhead and power impact as well as timing analysis . Post-Silicon Validation: Lead the bring-up and debug phase on ATE (Automated Test Equipment) to root-cause silicon failures and optimize test time. Technical Requirements: Experience: 12+ years in DFT, with at least 2 years in a leadership or principal role. Bachelor’s degree in a related field. Tools:

We are seeking a dedicated Emergency Medicine Registrar to join our team, providing exceptional care during varied shifts including days, nights, evenings, and weekends. This role is crucial in delivering high-quality emergency medical services and ensuring patient safety and well-being. Required Skills: Active certification in Advanced Life Support (ALS). Certification in Advanced Trauma Life Support (ATLS). Certification in European Paediatric Advanced Life Support (EPALS).

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Staff Engineer: STA Methodology & Sign-off Lead We are seeking a high-caliber Staff or Senior Staff Engineer to architect and lead our SOC Static Timing Analysis (STA) Methodology along with execution responsibilities to eliminate the bottle-necks in STA and build bridges. This is a critical role for a forward-thinking engineer who excels at defining the frameworks and flows required to navigate the complexities of modern, large-scale SOC designs. Engineer will have scope to bridge Architecture, CAD, RTL, and Physical Design to establish a predictable, high-performance, and scalable path to tape-out. The Role As the lead for STA Methodology, you will own the sign-off architecture and the timing convergence strategy. Rather than just executing runs, you will build the "engine" that enables execution—defining flows, qualifying tools, establishing margin strategies (AOCV/LVF/POCV), and driving cross-functional alignment to meet aggressive Power, Performance, and Area (PPA) targets. Key Responsibilities Sign-off Methodology & Architecture: Define and own full-chip SOC timing sign-off criteria, including Multi-Mode Multi-Corner (MMMC) definitions, derate strategies, and operating condition mapping for functional, shift, and capture modes. Flow Development & Left-Shift Automation: Architect, deploy, and maintain adva

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. The Role We are seeking a thorough SOC Physical Verification & Integration Specialist to drive the physical assembly and signoff of our next-generation SOCs. In this role, you will own the physical integration strategy from the floorplan stage through to tapeout, ensuring seamless assembly of massive multi-hierarchical blocks. You will act as the critical bridge between block-level implementation, top-level integration, and final foundry signoff, ensuring that complex physical bottlenecks are resolved without compromising power, performance, or area (PPA). Key Responsibilities Top-Level Physical Integration: Drive the full-chip physical assembly of very large-scale SOCs (e.g., multi-billion transistor designs). Manage top-level floorplanning, bump planning, global power grid (PG) integration, and top-level clock/routing integration. Hierarchical Verification Methodology: Architect and deploy highly efficient, hierarchical physical verification (PV) flows. Define the boundary conditions, abstraction models, and interface rules required to assemble heavily partitioned, massive-scale designs. Signoff Execution & Debugging: Own full-chip DRC, LVS, ERC, Antenna, ESD, and Latch-up signoff using industry-standard tools (e.g., Siemens Calibre) at advanced process nodes (5nm, 3nm, or below). Cross-Functional Collaboration: Partner tightly with the Physical Design (PD