Release Engineer 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. Job Description As a senior Manager, you will be responsible for the strategic ,tactical planning and execution to meet the business plan within budget, this includes but not limited to short and mid-term capacity planning, automation enablement, equipment performance continual improvement, human resources organization, management, technical and leadership development. Responsibilities and Tasks Work with Equipment team to drive equipment performance continual improvements. Work with the PEE and IE to assess and audit the capacity of each workstation in the strategic and tactical timeframe, identify increased throughput opportunities as well as risks to meet Cycle Time and Business Plan goals. Develop action plans to maximize opportunities and mitigate risks. Work with PIE and SIC team on new technology node and new part types line readiness matrix. Work with HVM/ PEE and EE on area constraint management/improvements (dynamic constraints) . Work with OI team on area MAS scheduling, automation, line management systems and successfully roll out to the shift team. Work with Engineering team on tool qualification, release and install requirements, and maintenance priorities. Work with PIE yield improvement and quality. Work closely with other departments to meet the needs of the Fab and build strong peer relationships. Develop organization resource plans, training plans and business processes within organization operation to meet Business Plan. <p style="text-alig

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. Job Description As a senior Manager, you will be responsible for the strategic ,tactical planning and execution to meet the business plan within budget, this includes but not limited to short and mid-term capacity planning, automation enablement, equipment performance continual improvement, human resources organization, management, technical and leadership development. Responsibilities and Tasks Work with Equipment team to drive equipment performance continual improvements. Work with the PEE and IE to assess and audit the capacity of each workstation in the strategic and tactical timeframe, identify increased throughput opportunities as well as risks to meet Cycle Time and Business Plan goals. Develop action plans to maximize opportunities and mitigate risks. Work with PIE and SIC team on new technology node and new part types line readiness matrix. Work with HVM/ADTT PEE and EE on area constraint management/improvements (dynamic constraints) . Work with OI team on area MAS scheduling, automation, line management systems and successfully roll out to the shift team. Work with Engineering team on tool qualification, release and install requirements, and maintenance priorities. Work with PIE yield improvement and quality. Work closely with other departments to meet the needs of the Fab and build strong peer relationships. Develop organization resource plans, training plans and business processes within organization operation to meet Business Plan. <p style="text-

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. We build the shared infrastructure, tooling, and lab environments that let teams test quickly, understand failures, and ship with confidence. About the Role As a Systems Integration Manager , you will lead the team responsible for device validation infrastructure, test automation, developer tooling, and lab operations. This is a player-coach leadership role: you’ll set technical and operational direction, build and develop a team of engineers and lab operations professionals, and stay close to the architecture and hardest systems problems. You will partner closely with device software, OS, firmware, hardware, reliability, QA, and release infrastructure teams to define validation strategy, improve release readiness, and ensure our test environments and quality signals scale with the product. Because this is a new category of devices, you’ll have the rare opportunity to build the validation foundation early—shaping the systems, standards, and operating model that will support products from prototype through launch. We’re looking for a leader who combines strong technical judgment with people leadership, operational rigor, and experience building reliable systems for complex hardware-software products. This role is b

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

Technical Project Manager Location: Noida Experience: 5–8 Years About the Role We are looking for a proactive Project Manager to drive end-to-end delivery of engineering programs across the Software Development Life Cycle (SDLC). The ideal candidate should have hands-on experience managing technical projects, strong knowledge of Agile methodologies, expertise in Jira and Confluence, and the ability to collaborate effectively with Product, Engineering, and Leadership teams. Key Responsibilities Manage end-to-end technical project delivery across the SDLC. Drive sprint planning, backlog grooming, release planning, and cross-team coordination. Configure and manage Jira, Confluence, dashboards, and project documentation. Track project progress, dependencies, risks, and delivery milestones. Monitor engineering metrics such as velocity, cycle time, throughput, and sprint predictability. Partner with Product, Engineering, and Leadership to ensure timely execution and alignment. Maintain RAID logs, project reports, and status updates. Continuously improve project management processes and delivery efficiency. Requirements 4–5 years of Project/Program Management experience in engineering or product organizations. Strong understanding of Agile, Scrum, Kanban, and SDLC. Hands-on experience with Jira and Confluence. Proven stakeholder management and cross-functional coordination skills. Experience tracking engineering delivery metrics and managing project risks. Excellent communication, problem-solving, and organizational skills. Bachelor's degree in Engineering, Computer Science, Business, or a related field.

About the Team OpenAI's Compute organization builds and operates the infrastructure that powers frontier AI training and inference. Our data center engineering teams develop the technical standards and infrastructure required to deploy compute at unprecedented scale across both self-built and partner-operated environments. We work across civil, structural, mechanical, electrical, construction, and infrastructure delivery to develop data center designs that are reliable, scalable, and optimized for speed. About the Role We are seeking a Data Center Design Manager to coordinate the design and delivery of infrastructure for large-scale AI deployments. You will bring engineering disciplines and external design partners together to translate infrastructure requirements into coordinated, buildable design packages. You will manage design milestones, resolve cross-discipline interfaces, and keep technical decisions aligned with project requirements. Working with engineering, construction, commissioning, operations, and hardware teams, you will help preserve design intent from early planning through construction and turnover. The focus is design execution, technical coordination, and clear ownership of design decisions. Key Responsibilities Manage design scope, deliverables, milestones, and dependencies from concept development through detailed design and construction support. Coordinate civil, structural, architectural, mechanical, electrical, controls, and physical network interfaces across data center buildings and campuses. Translate owner and hardware requirements into coordinated design criteria, working with discipline leads to resolve gaps and competing requirements. Lead multidisciplinary design reviews; track comments, decisions, technical risks, and actions through resolution before design release. Evaluate design changes with engineering and delivery partners, making impacts on reliability, safety, cost, schedule, and maintainability clear. Coordinate external ar

AI Delivery Lead eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it. You will make an impact: As an AI Delivery Lead , you will help transform how eClinical Solutions Engineering teams plan, build, test, and deliver software by driving adoption of AI-enabled software development practices across the organization. You will work closely with Engineering, SQA, Product Management, Architecture, and DevOps to embed AI-assisted development and automation throughout the Software Development Lifecycle (SDLC). You will help teams identify opportunities to eliminate manual activities, improve delivery predictability, strengthen automated quality, and demonstrate measurable improvements in engineering productivity and software delivery. This role is ideal for someone who combines strong software delivery and Agile experience with a practical understanding of AI-assisted development and enjoys working directly with teams to turn new technologies and processes into repeatable engineering practices. Your day to day: Drive adoption and continuous improvement of AI-assisted development and AI-DLC practices across Engineering teams. Work directly with Engineering, SQA, Product, Architecture, and DevOps throughout planning, development, testing, and release. Partner with teams during backlog refinement and sprint planning to improve story read

Opportunity ThermalWorks has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that’s on a journey to transform the world’s infrastructure. We are seeking a Program Manager - Released Products to join the ThermalWorks Team, working directly with R&D, Engineering, Project Management, Operations, Service, and other stakeholders, and focusing on managing changes after initial product release and maintaining visibility to revision scope, dependencies, owners, due dates, release readiness, and implementation status. Key Responsibilities Include but are not limited to: Product Lifecycle & Revision Coordination Manage programs for released products — major revisions, performance or configuration updates, compliance-driven changes, manufacturing changes, and documentation-impacting updates. Maintain revision plans defining scope, affected products and configurations, deliverables, owners, dependencies, milestones, and implementation status. Lead recurring cross-functional meetings — agendas, status updates, decisions, and action items — and follow through to closure. Monitor schedule, scope, risk, and readiness; identify gaps early and escalate decisions or resources needed to keep revisions moving. Coordinate release and implementation readiness across Engineering, Operations, Service, Project Management, and external manufacturing partners. Documentation Update Coordination Partner with the Technical Writer, R&D, and Project Management to identify documentation affected by released-product changes and revisions. Coordinate priorities, reviews, approvals, and release timing for updates to product specifications, data sheets, IOM manuals, submittals, drawings, test information, labels, and attachments. Ensure documentation owners receive complete, timely technical inputs — approved engineering changes, updated drawings, performance data, calculations, test results, and configuration details. Track d

itD is seeking a DFT (Design For Test) Lead to drive the implementation and integration of advanced Design-for-Test (DFT) solutions across the silicon development lifecycle, ensuring highly testable, manufacturable, and reliable ASIC designs. The ideal candidate will bring deep expertise in ASIC DFT methodologies, post-silicon validation, and test architecture development, with a proven track record of delivering production-ready silicon through cross-functional collaboration. Location: Hybrid in Carlsbad, CA or Allentown, PA , or U.S. Remote . Candidates must be available to work Pacific Time business hours (9:00 AM–5:00 PM PST). Duration: 14 months We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities: Lead the implementation of hardware Design-for-Test (DFT) features, including scan, memory BIST (MBIST), BISR, boundary scan, and DFT simulation setup and debugging. Develop innovative DFT IP in collaboration with cross-functional engineering teams and integrate testability features into full-chip RTL designs. Drive reusable DFT and debug methodologies for next-generation silicon devices, including bare die and stacked die architectures. Perform post-silicon debugging, root cause analysis, and production qualification activities to improve silicon yield, reliability, and manufacturability. Collaborate with physical design, validation, and hardware engineering teams throughout the complete silicon product lifecycle. Design, validate, and release ATPG patterns while supporting manufacturing test readiness and production ramp. Develop technical solutions and resolve complex DFT challenges with minimal supervision while providing technical leadership to the broader engineering team. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on ind

The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce administration, platform governance, automation, and system operations, the team continuously enhances the Salesforce CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do We are looking for a Senior Salesforce Administrator to manage and enhance the Salesforce CRM system supporting MongoDB’s Sales organization Effectively work both autonomously and collaboratively across Salesforce platform administration, configuration, release support, security, and audit-related activities Work closely with Tech Leads, Program Managers, Developers, DevOps teams, and Business Stakeholders to understand requirements and deliver scalable declarative solutions Contribute across multiple functions including platform administration, CI/CD participation, release support, access governance, security improvements, and audit readiness Ensure appropriate controls, documentation, and governance practices are followed to maintain a strong and effective control environment Responsibilities Administer, configure, and maintain the Salesforce platform, including users, roles, profiles, permission sets, sharing settings, page layouts, record types, and other core administrative functions Build and enhance Salesforce solutions using declarative tools such as Flows, Validation Rule

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. Join Micron, where your knowledge will influence the future of memory technology! As the Manager for NAND Design Rule/Process Integration, you will lead a talented team to support both development and large-scale production of advanced 3D NAND technologies. This position is essential for producing accurate design-rule and PDK results, ensuring high quality, and maintaining strict documentation across R&D and production efforts. Responsibilities: Lead the release of design rules and PDK deliverables; coordinate DRC waivers, mask definitions, and mask reviews for both R&D and production developments. Own program execution and achievements from kickoff through end-of-life. Partner with collaborators across Array & CMOS Process Integration, Devices, Layout & Build, Modeling, Scribe & Frame, unit process areas (e.g., PHOTO/OPC/CMP), and Quality & Reliability to guide new 3D NAND generations. Ensure high quality and documentation for Build Rule Checks (DRCs) and drive timely disposition of deviations and exceptions. Collaborate with Yield Improvement, Product Engineering, Defect Analysis, and Quality Assurance to identify layout- or database-related process issues and prioritize corrective actions. Build and evaluate te

Zoox is building a full-stack autonomous mobility solution from the ground up. The System Behavior Analysis team is the front line for triage of driving events and software issues from our vehicle fleet and large-scale simulation, turning that data into engineering signal. As the Technical Program Manager for System Behavior Analysis, you will sit in our Platform SW Integration organization and treat triage as a systems and data problem. Triage sits in the middle of a larger loop, from the fleet and simulation through engineering fixes to validation and release. You will partner with software development, software integration, QA, safety, product, vehicle operations and the Program Management Office. In this role, you will: Drive triage accuracy and routing. Run the triage reviews that get defects, high-severity live-service issues and safety-critical events accurately classified and routed to the downstream teams that act on them. Measure and improve triage health. Track throughput, misclassification, latency, backlog aging, automation coverage and regulatory-reportable issues, and use them to flag risks early and give leadership decision-ready updates. Program-manage triage tooling and automation. Bring requirements to the dedicated tools and automation team, help sequence what gets automated, and track delivery, adoption and the capacity it frees. Manage intake and escalation. Maintain the intake paths, escalation criteria and shared boards partner teams rely on. Plan commitments and capacity. Turn milestones into quarterly triage commitments and forecast demand across onshore, offshore and vendor teams Qualifications Systems-Oriented Background: 3+ years in technical program management or engineering operations, with a systems mindset: you see a program and its hardware-software systems as connected parts, and trace

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. At Micron, our Global Quality Operations (GQ Ops) team plays a critical role in supporting manufacturing excellence, improving cycle time, enhancing data quality, and enabling operational efficiency across the factory. We are looking for a highly motivated GQ Operations Technician to serve as a technical resource and operational leader who bridges production and engineering teams. In this role, you will drive workflow optimization, resolve complex manufacturing issues, support advanced technician training, and contribute to continuous improvement initiatives that impact product quality, throughput, and customer satisfaction. As a GQ Operations Technician, you will leverage technical expertise, problem-solving skills, and Generative AI tools to improve operational performance, support engineering activities, and ensure smooth product movement through manufacturing processes. Responsibilities: · Monitor workstation performance, cycle time, and manufacturing reports to identify operational constraints and implement improvement actions. · Troubleshoot and resolve product flow interruptions, lot holds, lockups, tracking issues, equipment group holds, data transfer concerns, and manufacturing execution system errors. · Partner with Engineering, Equipment Support, and Production teams to improve equipment productivity, job release accuracy, process execution, and overall factory performance. · Lead advanced technical training efforts by mentoring, certifying, and coaching Manufacturing Technicians while developing and

About the Role We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory. The team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models. The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems. You’ll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products. What you'll do Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory. Model Releases: Help experiment with and release new models. Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems. Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices. Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team. What We're Looking For Required 2 to 10+ years of experience in software engineering or research. Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems. Experience shaping LLM behavior through prompts, tool and skill design, or memory systems. Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders. Nice to have Recent experience working on modern LLM-driven products. Experience working across teams or with ext

We're looking for a Senior Manager of SW Tools Development to lead an organization built on two closely connected pillars: AI-powered tools and agents, and the test infrastructure, data pipelines, and process automation that engineering and business teams rely on every day. You'll bring deep knowledge of large language models (LLMs) and applied AI, and use it not only to build new AI-driven products but to find where AI can meaningfully upgrade test infrastructure, data pipelines, and automation — the overlap between these areas is where some of your team's highest-leverage work happens. Beyond building the tools, you'll be the face of your organization's products internally — demoing capabilities, winning over new adopters, and growing the portfolio of tools your team owns. You will manage multiple engineering teams (including managers), partner cross-functionally with stakeholders across the business, and build the processes that let your tools ship safely and reliably at scale. In this role, you will: Lead and grow multiple engineering teams spanning AI-powered tools/agents and test infrastructure, data pipelines, and process automation, managing and mentoring managers and senior engineers, and holding your organization accountable for delivery and quality across both areas. Set a unified, prioritized roadmap across your organization that balances new AI agent/tool capabilities with test infrastructure, data pipeline, and process automation needs — with a sharp eye for where applying LLMs to automation, pipelines, or test systems creates outsized leverage. Design and enforce the architecture, quality gates, and release processes that ensure tools, pipelines, and AI agents are validated, secure, and reliable before reaching production. Partner cross-functionally with engineering, operations, and business leadership across the company to align priorities, scope integrations, and drive adoption of new tooling at an organizational leve