Design Manager 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. About the Role As a Member of Technical Staff (MTS) in Micron’s HBM Product Engineering Component Validation team, you will serve as a technical leader and authority for the validation of advanced High Bandwidth Memory (HBM) products. You will apply deep DRAM and HBM architecture and design knowledge to define validation coverage strategy, lead complex product debug and failure analysis, and drive a zero-escape validation mindset across all test modes and product milestones. Operating within Micron’s global validation organization and partnering closely with teams across multiple sites, you will influence design-intent-to-coverage decisions, mentor engineers, and set the technical direction for current and next-generation HBM validation. Responsibilities and Tasks Technical Leadership & Validation Strategy Act as a technical authority for HBM Component Validation, translating DRAM/HBM design intent and architecture into comprehensive validation coverage and test strategy. Define and own validation methodologies and coverage plans across structural (black-box) and functional test flows, driving toward full validation coverage at each product milestone with zero validation escapes. Lead validation definition and closure for new and high-risk product

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. As an interconnect modeling CAD engineer, you will be responsible for developing new flows and methodologies for extracting and releasing interconnect models used by EDA tools for extracting layout parasitics for accurate prediction of electrical behavior of designed circuits. As part of this effort, you will also be working with the Scribe TEG team to design and develop new test structures used for the extraction. You will also be interacting with the external EDA tool vendors to improve those flows as necessary, and support Micron designers in using the tools and flows. インターコネクトモデリングのCADエンジニアとして、EDAツールによるレイアウト寄生要素の抽出や、設計回路の電気的特性を正確に予測するために使用されるインターコネクトモデルの抽出・リリースに向けた新しいフローや手法の開発を担当します。 この取り組みの一環として、Scribe TEGチームと協力し、抽出に必要な新しいテスト構造の設計・開発を行います。さらに、必要に応じて外部EDAツールベンダーと連携し、フローの改善を進めるほか、Micronの設計者がツールやフローを円滑に利用できるようサポートします。 Build and release interconnect models based on process technology information for use by parasitic extraction tools to extract layout parasitics. Work with the process technology development team members located at global sites to acquire details concerning the interconnect stack so that accurate interconnect models can be released. Work with the process technology development and scribe TEG design team s located at global sites to develop methodologies and design TEGs for properly calibrating interconnect models. Develop new flows and methodologies for parasitic extraction from layout. Work with ex

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. As a Design Engineer at Micron Technology, Inc., you will be responsible for designing and analyzing digital and analog circuits used in the development of memory products! We are engaged in developing groundbreaking silicon-to-systems solutions – right from technology development and advanced memory designs to product development, systems design and validation resulting in world class memory solutions! In this position, you will collaborate with Micron’s various design and verification teams all over the world and support the efforts of groups such as Product Engineering, Test, Probe, Process Integration, Assembly and Marketing to proactively design products that optimize all manufacturing functions and assure the best cost, quality, reliability, time-to-market, and customer satisfaction. You will own physical implementation and top-level integration of large digital designs in our NAND products. Drive blocks and full-chip partitions through synthesis handoff, floorplan, place-and-route, and timing/DRC/LVS closure. Perform hierarchical design planning and top-level assembly. Responsibilities will include, but are not limited to: Contributing to the development of new product opportunities by assisting with the overall design, layout, and optimization of Memory/Logic/Analog circuits Parasitic modeling and assisting in design validation, reticle experiments and required tape-out revisions Leading all aspects of and managing the layout process including floor-planning, placement, and routing

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. As a Full Stack Software Development Engineer at Micron, you will be part of the AI Platform Solutions Group (AIPS) within TPG, where you will design and deliver next-generation, AI-native applications that accelerates the capability for engineering teams we support to innovate. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities—including large language models, retrieval-augmented systems, and agentic workflow orchestration—directly into engineering-critical applications and workflows. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents, contextual reasoning, and workflow automation to drive decision-making and productivity. While your primary focus will be within AI Platform Solutions and TPG, the platforms and solutions you build will be architected for reuse and scale, enabling enterprise-wide impact across Micron’s global operations. We require a minimum of seven years of software engineering experience involving medium- to high-complexity design and implementation. Having experience in the semiconductor industry is advantageous. Responsibilities Design, develop, and maintain full-stack applications across front-end, API, and backend layers. Translate business and functional requirements into scalable, secure, and maintainable technical solutions. Own the end-to-end software development lifecycle, including design, dev

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. As a Full Stack Software Development Engineer at Micron, you will be part of the AI Platform Solutions Group (AIPS) within TPG, where you will design and deliver next-generation, AI-native applications that accelerates the capability for engineering teams we support to innovate. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities—including large language models, retrieval-augmented systems, and agentic workflow orchestration—directly into engineering-critical applications and workflows. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents, contextual reasoning, and workflow automation to drive decision-making and productivity. While your primary focus will be within AI Platform Solutions and TPG, the platforms and solutions you build will be architected for reuse and scale, enabling enterprise-wide impact across Micron’s global operations. We require a minimum of seven years of software engineering experience involving medium- to high-complexity design and implementation. Having experience in the semiconductor industry is advantageous. Responsibilities Design, develop, and maintain full-stack applications across front-end, API, and backend layers. Translate business and functional requirements into scalable, secure, and maintainable technical solutions. Own the end-to-end software development lifecycle, including design, dev

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data struc

Opportunity Overview: We are seeking a Staff Software Engineer to join our Engineering department. In this role, you will direct a fast-paced, collaborative, agile team of software engineers in the design, development, and scaling of highly available AI healthcare products on the Cohere platform. You'll set the technical direction for how the platform evolves — owning architecture and design decisions that span multiple teams and outlive any single release. This is an opportunity to drive technical excellence, define customer-configurability capabilities, and establish patterns other teams build on at the intersection of healthcare interoperability and modern distributed systems. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Technical Leadership: Provide technical leadership across architecture, system design, and mentor junior engineers for building scalable SaaS products. Platform Ownership: Lead the development and enhancement of Cohere’s AI-powered applications and platforms, ensuring that it is highly configurable, and optimized for performance. Data & Retrieval Architecture: Design data and retrieval architectures that give AI agents the right context, across diverse healthcare sources. Hands-On Engineering: Design, review, and own high-quality production code — actively contributing alongside the team, leading releases, production deployments, reducing developer development friction and on-call support. NFR, Security & Compliance: Drive technical strategy to ensure the team's designs consistently address non-functional requirements — observability, instrumentation, performance, and operational readiness that incorporate security and privacy regulations Cross-Functional Collaboration: Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. A

Contact Address: 30 N Gould St, Ste R, Sheridan, WY 82801 Phone: 307-443-5690 Website URL: https://innerluxes.dev Business Email: [email protected] About US INNERLUXES is a full-service software consulting and development company dedicated to helping businesses build modern, scalable, and high-performing digital products. We partner with startups, growing companies, and enterprises to design, develop, deploy, and maintain custom software solutions that solve real business challenges and accelerate growth. Our expertise covers SaaS product development, custom software engineering, web development, mobile app development, AI-powered applications, UI/UX design, cloud infrastructure, DevOps, business automation, and enterprise solutions. We are also one of the few companies worldwide with in-house Chromium expertise, building custom browsers and secure browser-based products for demanding teams. Every project is delivered by senior engineers who follow a structured development process with transparent communication, written project scopes, regular progress updates, and clean, maintainable code. Whether you are launching a new SaaS platform, modernizing legacy software, integrating AI into your workflows, or building custom business applications, INNERLUXES provides end-to-end services tailored to your goals, with performance, security, and scalability engineered in from day one. Having delivered 2,800+ projects across 30+ industries, INNERLUXES combines deep technical expertise with business-focused thinking to create software that improves efficiency, enhances customer experiences, and drives measurable results. Our teams serve healthcare, finance, retail, manufacturing, real estate, logistics, and many other industries, adapting every solution to the regulations and workflows of your market. From initial discovery and product strategy to deployment and ongoing maintenance, we act as a long-term technology partner committed to your success. Related Searches Sof

About the Role The Mechanical Commissioning Project Engineer owns mechanical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures mechanical systems are installed, inspected, started, balanced, controlled, and tested in a way that supports reliable integrated facility performance. Reports to the Commissioning Project Lead and partners closely with mechanical contractors, equipment vendors, design/engineering teams, the electrical commissioning lead, controls stakeholders, and vendor field/test engineers. Key Responsibilities Develop and maintain the mechanical commissioning scope, readiness criteria, inspection strategy, and discipline test execution plan. Review mechanical design packages, specifications, submittals, method statements, controls narratives, sequence assumptions, and testing requirements for commissionability and risk. Coordinate mechanical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. Own mechanical commissioning procedure development and review, including equipment startup, functional testing, controls verification, balancing prerequisites, failure mode validation, and integrated systems testing inputs. Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. Support readiness and execution for cooling, ventilation, hydronic, pumping, heat rejection, controls, and other project-specific mechanical systems. Lead discipline-level review of mechanical test results, deficiencies, corrective actions, retest requirements, trend logs, and acceptance evidence. Maintain mechanical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. Partner with the E

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflo

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The User Activation team owns the product experiences that help developers discover Codex, understand its capabilities, connect it to their workflows, and turn initial usage into sustained adoption across teams. About the Role As Codex adoption grows, our challenge is no longer just building powerful AI capabilities. It is helping developers and teams quickly understand how Codex fits into their work, connect it to the tools and codebases they already use, and unlock workflows that make Codex feel like a true teammate. This role will help build the full-stack product surfaces that drive activation and adoption across Codex Enterprise. You will work across onboarding, workspace setup, integrations, discovery, collaboration, usage insights, and ecosystem capabilities that help Codex spread naturally through organizations. You will partner closely with product, design, research, infrastructure, GTM, and customers to identify where users get stuck, where teams fail to adopt Codex, and what product experiences can turn curiosity int

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity work

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

About the team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our San Francisco HQ. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity work

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