Engineer 6 Jobs

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. Focus on technology node development to advance next-generation DRAM technologies. Contribute to DRAM product design to enable effective transfer of node development innovations into production products. Collaborate with product engineering and process technology teams to validate designs and help guide technology direction. Perform circuit design and floor planning, including power delivery network (PDN) design. Conduct simulation, debugging, and root cause analysis of design and process issues. Identify failures and provide corrective feedback to block design owners. Deliver design insights and recommendations to Technology Development process teams. Validating device and schematic functionality using memory testing systems. Requirements: Employer will accept a Master’s degree in Electrical Engineering, Computer Engineering, or related field and 2 years of work experience in job offered or in a related occupation. Position requires: 1. CMOS Circuit Design; 2. Digital Logic; 3. Mixed Signal Design; 4. Sense Amplifier; 5. Clock or Data Path; 6. AOCV; 7. Power, IR Drop, or PDN; 8. DFT; 9. Spice or Spectre; 10. Verilog; 11. Parasitic Extraction or SPEF; 12. Floor planning or Routing; 13. Cadence Virtuoso; 14. Python; and 15. Data Analysis (JMP). As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and profes

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. Probe process Engineering team member in Micron's Global Probe process team will have responsibilities for supporting and maintaining Probe processes and software that are codeveloped with Micron’s Global Manufacturing sites or directly sent to the Manufacturing sites around the world. Managing, validating and coordinating releases of global processes and software ensuring that the resulting Manufacturing Quality meets or exceeds customers’ requirements. Day-to-day they will manage critical projects for optimal probe process. Developing software solutions & processes to promote greater quality, efficiency and standardization of automated semi-conductor Probe operations. Supporting and maintaining the Global Probe Data Crunching Process (i.e. post processing probe test data). Developing, coding, validating and coordinating timely software releases. Generating metric reports (Efficiency & Effectiveness) for Probe processes domain. Collaborating with global teams in the Probe network to establish and implement Best Known Method of Global Probe Processes. Conducting statistical data analysis of Probe data sets in support of process. Promote and drive Continuous Improvement. Following tools will be applied during the assignment Project Management system, Probe Test Data system, Probe product disposition system, Manufacturing Execution System and statistical data analysis/reporting systems. Position requires up to 20% of travel. Domestic and International. Employer will accept a Bachelor’s degree in Computer Engineering, Computer Science, Eng

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. • Identify, diagnose and resolve assembly process related problems • Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step • Lead / participate in continuous yield improvement and cost reduction activities • Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction • Support SPC/FDC/RMS/APC • Support site to site portability • Manage / audit material suppliers to achieve quality, cost and risk management objectives • Support internal and external audits • Leverage AI-powered tools to improve engineering productivity, data analysis efficiency, and decision-making effectiveness. • Apply generative AI solutions to support technical documentation, root cause analysis, problem-solving activities, and engineering communications. EDUCATION, EXPERIENCE & QUALIFICATION REQUIRED Bachelor’s degree or above Experience in semiconductor assembly processes, with exposure to Die Bond (DB), Flip Chip (FC), or Thermo-Compression Bonding (TCB) preferred About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Designs, develops, and implements AI solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of AI engineering projects. Required Qualifications 5-7 years of professional experience in software engineering and application development. 2&#43; years of hands-on experience on LLMs & Generative AI (LLM) techniques. Expert proficiency in programming skills especially Python, Google Cloud platform and system architecture. Experience in leading engineering teams and driving technical roadmaps. Preferred Qualifications Define and implement AI safety frameworks Strong problem-solving skills and the ability to think strategically. Excellent communication skills for effective collaboration. Cross-functional collaboration Education Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred <p style="text-align:in

Senior Software Engineer - Lab Provisioning & Integration Company: The Boeing Company The Boeing Company is currently seeking a Senior Software Engineer - Lab Provisioning & Integration in Berkeley, MO . You will apply sophisticated engineering principles and deep expertise to architect and deliver highly scalable, secure, and resilient lab environments supporting critical multi-program integration and test activities. You will lead initiatives requiring creativity and ingenuity, influence organizational technical direction, and provide leadership and mentorship in cloud infrastructure, automation, and DevSecOps. This role carries significant responsibility for ensuring technical excellence, delivering innovative solutions to complex challenges, and acting as a primary technical liaison with internal teams and external stakeholders. Position Responsibilities: Advanced Lab Environment Leadership: Apply specialized knowledge and insights to architect, provision, and optimize complex lab/test environments on-premises and across cloud platforms (Azure, AWS) using Infrastructure as Code (Terraform, Ansible). Establish and standardize best practices. Integration Testing Architecture: Lead the design and continuous improvement of enterprise-wide automated integration testing workflows involving multiple program segments, ensuring comprehensive, data-driven feedback and rapid resolution of cross-segment integration issues. Strategic Deployment Pipeline Ownership: Drive innovation in deployment mechanisms and pipelines for physical and virtual systems, ensuring scalability, security, repeatability, and operational excellence aligned with long-term organizational obj

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 DGXC Storage team handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential, and between launching a frontier model on time or missing the deadline by months. We’re looking for a hands-on Storage Software Engineer to join the storage team as an individual contributor and technical lead. You will contribute to open-source parallel and distributed file systems and keep our largest GPU clusters fast, reliable, and durable. You will stay deeply hands-on: writing and reviewing production code, chasing root causes in the field, and setting the configuration and tuning standards our GPU fleets run on. This is a chance to do foundational storage engineering for the AI era at the company that introduced accelerated computing. What you’ll be doing: Contribute to open-source file systems. Contribute code to open-source parallel and distributed file systems, and distributed object storage. Upstream fixes and features, and engage directly with the upstream communities and maintainers. Serve as a hands-on storage software lead. Write and review production code yourself, and read kernel, NFS, NVMe-oF, or SPDK source when a bug requires it. Make the final technical calls on storage deliveries against measurable targets. Triage and troubleshoot at scale. Triage, troubleshoot, and root-cause large, complex storage issues across very large GPU clusters (tens of thousands of GPUs) — I/O and metadata performance, data corruption, and recovery. Validate architecture and capabilities. Validate storage architecture, capabilities, performance, and durabil

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

Job Details: Job Description: Join Intel and Build a Better Tomorrow Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. So join us and help us create the next generation of technologies that will shape the future for decades to come. Position Overview We are looking for a Graphics Software Engineer where the key goal will be to focus on rigorously ensuring the robustness and quality of our Graphics IP offerings through meticulous validation and debug of graphics issues. The ideal candidate should have strong quantitative, analytical, and problem-solving skills. Key Responsibilities As a GPU Software Development Engineer, your responsibilities will include but are not limited to: • Graphics Driver/Application related validation and debug activities • Integrate upcoming graphics features into end-to-end validation flows • Triage and Debug reported failures and drive issue resolution with software and hardware development teams • Scale across end-to-end Display, Media, 3D, Compute and power conservation components • Analyze cross component features to develop robust end user test scenarios • Develop debug tools to improve graphics validation and debug efficiency • Enable new features for Content Creation applications, Gaming and AI domains to improve functionality and performance on graphics products What We're Looking For someone with: • Ability to demonstrate strong quantitative, analytical, and problem-solving skills Qualifications: You must possess the minimum education requirements noted below and minimum required qualifications to be initially consi

Job Title Intern– Design Assurance Engineer – Colorado Springs, CO – Summer 2027 Job Description Intern– Design Assurance Engineer – Colorado Springs, CO – Summer 2027 Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing an undergraduate (BS) and/or graduate (MS) degree to participate in paid intern opportunities at our site in Colorado Springs. Through this role you will gain meaningful, hands-on experience working for a HealthTech company. Your role: Manage and execute laboratory studies to validate test methods and conduct design verification. Translate technical data of legacy products into current Philips standards. Perform detailed risk assessment of Philips products and drive required design mitigations to prevent adverse events. Conducts research on relevant topics and areas as requested by the manager/supervisor by investigating current trends, industry best practices and competitive landscape to provide comprehensive insights and support the strategic direction of ongoing projects and initiatives. Analyzes data related to departmental projects as requested by the manager/supervisor, identifying significant trends, patterns, and anomalies, and delivering actionable recommendations that drive data-informed decision-making. Participates in team meetings, contributing innovative ideas and strategic input, while also capturing detailed minutes that accurately reflect discussions, decisions, and action items, ensuring effective communication and follow-up within the team. Assists in preparation and presentation of reports or findings for internal and external stakeholders as required by manager/supervisor, ensuring that all findings are presented with ut

Design and Analysis Engineer (Electronic Sys Design & Analy) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking Design and Analysis Engineer , in St. Louis, MO , supporting a Phantom Works Fixed Wing Proprietary Program . You will be joining a fast-paced Phantom Works program where you will be responsible for developing and integrating complex, highly integrated, Communications Systems, Navigation, and Core Systems. Your work will define how the design of Mission Systems integrated sensors, communication, and weapons meet the operational needs of our warfighter. In this role, you will be joining a cross-functional team integrating advanced Mission Systems capabilities as part of a very exciting and critically important development effort. You will have the opportunity to operate in an agile development environment, mature our products through the development lifecycle, work on next generation open-architecture model-based designs, and collaborate across multiple disciplines. The day-to-day activities of this position will be a combination of traditional design engineering, collaborating with cross-functional peers, and presenting technical challenges and solutions to leadership. Frequent interaction with program leadership, customers, and industry partners during critical design phases will be key elements of this position. This position will provide the candidate an opportunity to develop their engineering skills with potential growth into a leadership role. Position Responsibilities: Make complex software and hardware design decisions for mission processing capabilities Lead capability integration team (software, hardware, test) to release capabilities to the customer<

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 amazing 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. We are looking for a highly motivated senior software engineer for an exciting role in our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning. What you will be doing: Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters. Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM. Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components. Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware. What we need to see: M.S./Ph.D. degree in CS/CE or equivalent experience. 5&#43; years of relevant experience. Excellent C/C&#43;&#43; programming and debugging skills. Strong experience with Linux. Expert understanding of computer syst

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 amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information <li

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys

NVIDIA is seeking a Senior Software Engineer to help us develop distributed storage services for AI/ML. In this role you will work closely with the broader NVIDIA team to design and build a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations. This service supports the whole NVIDIA critical business from graphics drivers to autonomous vehicles to deep learning frameworks. To achieve this goal, we are looking for an engineer with a deep understanding of distributed systems, outstanding design skills, and a track record in building and delivering large-scale distributed services. What you will be doing: Leading the overall architecture and design of our distributed storage service optimized for AI/ML Develop and maintain distributed, robust and scalable Go programs deployed to state of the art open-source ecosystems, including Kubernetes. Develop and maintain user-space applications, containers, Go-bindings, and CLI tools. Building features for a distributed storage service to enhance availability and reliability for large-scale deployments Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services. Automating distributed storage service end-to-end, including deployment, management, and monitoring What we need to see: Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 8&#43; years of industry experience Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations Strong track record of delivering distributed services in a variety of distributed computing environments Experience in i