Package Engineering Engineer Jobs

Build the systems that deliver Simulation Technology knowledge to developers, partners, internal teams, and the AI agents that increasingly sit between them and our documentation. Our KnowledgeOps team sets the information architecture and quality standards for Omniverse, Isaac Sim, and OpenUSD documentation. You'll build the automation, pipelines, and AI-ready infrastructure that apply those standards at scale, and work with documentation leads to refine the architecture based on what you learn. You're a writer who builds: as comfortable in Git, CI, or Python as in a style guide, and fluent with LLMs in daily work. We build systems where the right way is easier than the wrong way. For you, that means turning documentation, standards, and tribal knowledge into tooling, templates, and self-service paths, so fewer people have to ask "how do I…?" What you'll be doing: Collaborate with documentation leads on knowledge architecture, sharing implementation feedback (what works, breaks, and scales) to refine content models, information architecture, and AI-readiness patterns Build and run docs-as-code pipelines: Git authoring, CI/CD builds, linting, link and code-sample validation, and publishing Make knowledge AI-ready: structure and package content for RAG, internal assistants, and agentic workflows, including llms.txt, MCP-accessible sources, agent skills and context kits, and evaluation sets for answer accuracy Automate the content lifecycle with LLMs and scripting, from drafting and updating to auditing, with checks for freshness, code accuracy, and terminology drift, and human review where judgment matters Encode standards (user stories, release readiness, onboarding, security guidance) into templates, validators, and guided workflows rather than static documents Capture tribal knowledge from engineering, product, and operations, and turn it into playbooks, decisi

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 Mask Design Engineer who is committed to making a difference in the world through their contributions! This position will collaborate with Package Technical Lead and different design teams in designing and developing sophisticated, detailed layout of silicon interposers for NVIDIA products. In addition, work with design teams to plan schedules, resolve costs, manufacturing, and electrical design issues. What you'll be doing: You'll collaborate cross functionally with package technical lead (PTL) and I/O signal integrity and technology engineers to deliver solution for product packages in tight schedule. Performing physical layout for silicon interposer using Cadence tools. Conduct design feasibility studies to evaluate the package design goals for size, cost, and system performance. Take part in studying layout floorplan and perform custom layout and verification against design rules and netlists. Propose layout design trade-offs to the PTL for resolution and implementation. What we need to see: Hold a B.S. Electrical Engineering or equivalent experience Minimum of 5+ years proven experience in Mask and Layout Design. Deep understanding of layout concepts in submicron CMOS technologies. You are an authority with Cadence layout tools - particularly Virtuoso. Knowledge of Integrity auto-routing is a plus. Experience running and debugging with verification tools such as Calibre, ICV, Thunder, etc. Proficient in scripting languages like Perl, Python, S

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are looking for a software engineer to join our GTM Engineering team. You will build AI apps and workflows that drive revenue. You’ll partner closely with Sales, Marketing, Success, and Data to find opportunities and ship novel solutions with Vercel’s AI Cloud. You will report to the Director of GTM Engineering and will be remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Ship code daily using the Vercel AI Cloud Discover user pain and ship high-impact solutions Collaborate with top performers in GTM departments and ship their best practices to the org with systems Test new features and give feedback to engineering Publish best practices and guides on using Vercel’s AI Cloud About You: Have shipped a Next.js app to production with users Have 4+ years of full-stack development experience Familiar with the Vercel ecosystem Experience working with AI models and APIs (e.g., OpenAI, v0 API, Anthropic) Bonus If You: Have built an AI agent Have automated repetitive tasks with AI Have built features with the AI SDK Have published blogs/videos explaining technical concepts Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that

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. The Heterogeneous Integration Group (HIG) sits within the Technology and Products Group (TPG) and develops industry-leading High Bandwidth Memory (HBM) solutions for next-generation AI and high-performance computing systems. Micron is seeking an experienced MTS - HBM Thermal Integration Engineer to drive thermal performance optimization for next-generation High Bandwidth Memory products. This role sits at the intersection of thermal simulation, silicon characterization, process technology, package development, manufacturing, test engineering, and product integration. Key Responsibilities Drive thermal performance optimization across HBM products through design, process, packaging, assembly, and test improvements Develop and implement thermal learning plans, characterization strategies, and design-of-experiments (DOE) to accelerate technology understanding Analyze silicon characterization, inline metrology, manufacturing, and test data to identify key drivers of thermal behavior and variation Partner with thermal simulation teams to improve understanding and correlation between predictive models and measured silicon performance. Work closely with wafer fabrication, package development, assembly, product engineering, and reliability teams to resolve thermal challenges and enable product improvements. Identify and implement opportunities to reduce thermal resistance, improve thermal consistency, and enhance product performance. Drive cross-functional technical investigations and

About the job Shape how Graphcore products move from hardware design into reliable volume manufacturing. As Staff Manufacturing Product Engineer, you will take a leading role in supporting NPI development and volume production across complex hardware products. You will connect design, test, quality and supply chain decisions with real manufacturing outcomes. Your work will help ensure products are manufacturable, resilient and ready for supplier capability. You will provide DfM feedback that improves PCB and system design before issues reach production. You will work closely with contract manufacturers, especially during NPI and early volume manufacture. You will drive yield improvement, analyse production data and resolve L6 manufacturing issues. This role suits someone who enjoys practical engineering ownership across design and production. You will travel to Taiwan and work close to suppliers shaping next generation manufacturing technologies. The team and culture You will join the Manufacturing and Technology Process team within Operations. The team works across Bristol, Cambridge and Taiwan, close to foundry, package assembly and PCBA partners. Work happens through clear ownership, supplier engagement and fast feedback into design teams. You will speak up early when manufacturability, yield or capability needs attention. The team values evidence, responsibility and strong cross-regional relationships. Decisions are made through engineering judgement, data and direct accountability for manufacturing performance. What we're looking for · Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug · Thorough understanding of Automated surface mount assembly processes and manufacturing methodologies · Working knowledge of L10 mechanical design and system build, ideally for HPC products · Ability to connect silicon, package and PCB interactions into clear DfM feedback · Experienced in statistical analysis tools (e.g JMP, SQL, Pyth

About the job Own the manufacturing performance behind advanced AI compute systems in volume production. As, Senior Manufacturing Product Engineer you will connect product design, test, quality and supply chain with manufacturing execution. You will support volume production across PCB assembly with our build partners in Taiwan. Your work will improve yield, quality and manufacturability across complex products. You will link manufacturing process performance to the product metrics that matter most. You will manage partner engineering relationships, resolve manufacturing issues and drive continuous improvement. You will also shape DfM feedback, production data requirements and next generation manufacturing technologies. This role suits someone who combines practical manufacturing judgement with strong data thinking. You will work close to suppliers, product teams and the decisions that shape production outcomes. The team and culture You will join the Manufacturing and Technology Process team within Operations. The team works across Bristol, Cambridge and Taiwan, close to wafer foundry, package assembly and PCBA subcontractors. Work happens through direct ownership at partner sites and clear technical engagement with internal teams. You will move quickly on production issues, using data and engineering judgement to guide action. The team values people who speak up, take responsibility and build strong supplier relationships. Decisions are grounded in evidence, product impact and the need to keep manufacturing improving. What we're looking for · Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug · Thorough understanding of automated SMT assembly processes and lean manufacturing methodologies · Working knowledge of L10 mechanical design and system build, ideally for HPC products · Experienced in statistical analysis tools (e.g JMP, SQL, Python) · Ability to connect silicon, package and PCB interactions into clear DfM

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 Validation Product Engineer on High Bandwidth Memory (HBM) technology you will be tasked with developing next-generation HBM products. Product Engineers are a key interface between Design, Manufacturing, Test, and Quality internal departments as well as external customers. We take ownership of HBM products; starting at the Design phase, through initial bring-up, qualification, and into volume production. The seniority level offered will be based on a combination of experience and education. In HBM HIG or equivalent experience (High Bandwidth Memory, Heterogeneous Integration Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI. The success of a sophisticated product such as HBM relies vastly on vertical integration and the various engineering working in unison. To provide greater detail, our HBM technology pertains to stacking numbers of DRAM chips along with a logic chip within one package through an assembly technology called TSV (Through Silicon Via). This greatly increases the memory density in a package, while allowing very high-speed signal transmission. Furthermore, "high bandwidth"; is an outstanding memory design area where custom gate-level design and RTL style logic design are blended into the same product, and most of the DDR or LPDDR design is based on the gate-level design onl

Location Details: Pune, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join our Team Our team builds and operates the foundational infrastructure platforms that power GoDaddy's engineering organization. We own critical services including secrets management, software distribution, host security controls, and live patching for thousands of Linux systems running on OpenStack. This role sits at the intersection of Linux engineering, platform engineering, reliability engineering, and security. You will help define how core infrastructure services are designed, operated, automated, and scaled across the enterprise! What you'll get to do... Design, build, and operate highly available, scalable, and secure infrastructure platforms supporting large-scale Linux environments, with a focus on reliability, resiliency, and operational efficiency Lead the architecture, implementation, and operation of infrastructure services, including OpenStack, enterprise secrets management, package management, software promotion pipelines, and platform lifecycle management Develop and maintain automation solutions using infrastructure-as-code, Ansible, Python, Go, and self-service capabilities to improve efficiency and reduce operational overhead Build and improve observability and reliability practices through monitoring, logging, alerting, dashboards, managing incidents, analyzing underlying causes, disaster recovery, and service health reporting

About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP). We make plugins easy to discover, install, and use, ensure they’re invoked at the right time, and help people find new ways to get value from them. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work spans creation and publishing, reliable execution across our products, clear permissions and approvals, and the controls admins need to bring plugins to their organizations. We work closely with research to improve plugin quality as models evolve. About the Role We’re looking for product-minded engineers to build the systems behind plugins and improve how models use them. Depending on your focus, you may scale generalist infrastructure and identity-related integrations across products, or improve plugin quality at the intersection of backend engineering and applied AI or work on the product experience itself to drive plugin usage. You’ll work across teams and own problems from diagnosis and design through implementation and release. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. Build intuitive experiences that help users discover, install, and use plugins to get more done. Make plugins easier to create, test, publish, update, and share. Improve when and how models use plugins, from choosing the right plugin to completing a task. Work with Research to diagnose failures and measure improvements as models evolve. Improve plugin reliability and interaction quality acros

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Principal Sales Engineer to join our team. This is a Remote (Milan, Italy) role, reporting to the Sales Engineering Manager in the Solutions Consulting department. In this position, you will set the technical direction for marquee opportunities in Italy and partner with extended teams to drive strategic outcomes for our most significant customers. You will pioneer new offerings, influence the product roadmap, establish cross-portfolio architecture standards, and represent the Solutions Consulting function in key partner and analyst forums. Additionally, you will mentor senior Sales Engineers, assess regional capability gaps, and package field insights into roadmap proposals as part of the EMEA technical advisory function. What you’ll do (Role Expectations) Position Zscaler Value through technical expertise and sales experience to win the mindshare of customer technical teams Drive enablement and so

About the job Shape the component choices that turn complex electronics designs into reliable, manufacturable products. You’ll support component selection, evaluation and qualification across new product introduction and volume manufacturing. Your decisions will help protect product performance, quality, yield and continuity of supply. You’ll identify component risks and develop practical alternatives. Working across Manufacturing, Test, Quality and Supply Chain, you’ll manage component specifications, approved lists and Bill of Material revisions. You’ll also explore enabling component technologies for future products. This role connects detailed electronics knowledge with real manufacturing and supply chain challenges. The team and culture You’ll join Graphcore’s Manufacturing and Technology Process team within Operations. The team works across Bristol, Cambridge and Taiwan. Your work will connect internal engineering teams with component suppliers and manufacturing partners. You’ll solve problems across component, PCB, package and manufacturing dependencies. You’ll be expected to take ownership, surface risks early and use evidence to make sound decisions. Some global travel to supplier sites may be required. What we’re looking for Strong electronics knowledge, including component parameters, datasheets and component selection. Practical knowledge of BoM management and component sourcing systems, such as Arena and Silicon Expert. A good understanding of PCB manufacturing and SMT assembly processes. Ability to understand dependencies between silicon, package and PCB design. Experience working with electronics suppliers and contract manufacturers, plus strong stakeholder communication skills. Electronic Engineering qualifications or equivalent practical experience. Ability to communicate effectively using Chinese speaking language (Mandarin) Benefits Unlimited annual leave Medical & Life Insurance Eye Care Cover Annual Health Assessment Phantom equi

About the Team The Astral team builds high-performance developer tools to power the future of programming, at OpenAI and beyond, including Ruff, uv, and ty. The Astral toolchain sees hundreds of millions of installs per month and powers hundreds of millions of package downloads per day for the Python ecosystem. As a team, we are building on those foundations to continue solving impactful tooling problems as programming evolves. About the Role We are looking for an experienced software engineer to build next-generation programming language tooling. If you like writing high-performance Rust, it could be a good fit; if you like thinking about the future of programming, it could also be a good fit. Strong candidates tend to have deep experience with Rust, Python, open source, compilers, or developer tools — but few candidates are deep in all of these areas, and we've hired candidates without prior Rust or Python experience. In this role, you will: Design and implement features in Astral’s existing open source projects (Ruff, uv, ty, and python-build-standalone, and more). Support Astral’s open source projects as a maintainer, triaging user issues, reviewing pull requests, and participating in community discussions. Evolve the Astral toolchain to accelerate development velocity at OpenAI. Build entirely new tools, in entirely different programming ecosystems, to power the future of agentic software development. Your background might look something like: 5+ years of professional engineering experience, excluding internships, in relevant engineering roles. High agency and comfort operating in a fast-moving environment, with strong ownership of security, reliability, and operational excellence. Strong developer empathy and communication skills, including experience maintaining open source projects. Exceptional systems engineering fundamentals and a track record of leading complex projects from ambiguous problem statements through to user impact. Proficiency in one or more s

What is JetZero ? Today’s aircraft contribute around 4% of global CO2 emissions, equivalent to the emissions of 200 million cars. This is only going to increase: Air travel is forecasted to double by 2050, while meaningful efficiency gains using current airplanes have hit a wall. JetZero is developing a b lended - wing body (BWB) aircraft . It uses up to 50% less fuel and will be built to accommodate zero-emission hydrogen propulsion. JetZero is the inevitable solution to sustainable air travel. The JetZero Team We are experienced aerospace professionals and engineers, excited about the future. That future will only be possible if we share our vision and what it means to people’s lives: carbon-free flight that ' i s better for both passengers and airlines around the world . What You'll Do: Support Lab Commissioning activities which include: Configuration Documentation, System Shakeout, Test Readiness Review Support, etc. Support Formal Testing and troubleshooting activities Support Formal Test Report release What You Bring: Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Systems Engineering, or related discipline. 3+ years of aerospace engineering experience. Excellent communication and cross-functional leadership skills Aerospace Lab Test/Systems Engineering Experience Technical Aircraft Systems knowledge Preferred Skills & Experience Experience with laboratory integration environments, iron bird testing, or hardware/software integration. Experience with MATLAB/Simulink Experience with systems, simulation, modeling, and algorithms Compensation: Our compensation package is a blend of base salary and equity options for eligible employees. The range for this role is $135,000 to $150,000. We consider a number of factors when presenting a final offer, including geography, internal equity and years of experience and expertise.

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 Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza

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 Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza