Production Dx 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: A senior advanced assembly technology development engineer is responsible for introducing new technology to enable next generation packaging. This position engaged latest stacking/flip chip technology, advance packaging material and work on new process set up, process/ packaging characterization and process transfer from TD phase to high volume production to meet development milestone. This position required high motivation and operation skill to build DOE sample and fulfill customer requirement sample as well as cooperate with Material engineer, Bumping, PI, NPI, quality and manufacturing team to ensure process transfer successfully. Responsibilities Explore new technology on semiconductor industry such as flip chip, TCB and hybrid bonding process equipment and packaging material. Provide plan and resource requirement to enable new technology. Set up DOE plan and execute. Build sample and perform data analysis skill. Lead efficiency trouble shooting skill to improve process. Prepare documentation for process transfer from TD to HVM Review process stability by FDC, SPC and test result. Self-motivated and capable of working independently, proactively identifying opportunities and driving projects with minimal direction. <span

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 Responsibilities Key Responsibilities: 1. Production Line Oversight & Continuous Improvement • Monitor production line performance, identify improvement opportunities, and drive initiatives to improve efficiency and quality. 2. Inventory Management & Optimization • Use advanced analytics, scheduling optimization, and reporting tools to strengthen site inventory health and support supply chain stability. 3. Cross-Functional Collaboration • Partner with engineering teams to improve overall inventory performance through business process improvements, scheduling logic development, and data-driven reporting. 4. Visualization & Reporting • Build and implement dashboards and analytical reports to monitor inventory health and provide actionable insights for decision-making. Qualifications: • Strong analytical and problem-solving skills with experience in data visualization tools (Power BI, Tableau preferred). • Knowledge of manufacturing processes and scheduling principles. • Excellent communication and collaboration skills across departments. Preferred Experience: • Background in semiconductor manufacturing or high-volume production environments. • Familiarity with business process improvement and project management methodologies. • Experience in developing automation tools and optimization algorithms. Role Highlights: • Drive digital transformation in manufacturing through automa

The job purpose of a Lead - Cell Maintenance is to manage and oversee the maintenance operations specifically for PERC (Passivated Emitter and Rear Cell) technology, ensure the optimal performance and reliability of PERC solar cells, lead troubleshooting and repair efforts, and implement preventive maintenance strategies to maintain high production quality and efficiency. Source: Adani Group | Job ID: 56274

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a Solutions Product Marketing Manager to define and own Baseten's up-market, enterprise, and industries go-to-market strategy. You'll build the playbook that helps Baseten win large, complex deals and the vertical go-to-market strategies that let us compete in Financial Services, and Health & Life Sciences, and the use cases that scale across all of them. This is a highly cross-functional, largely greenfield role. You'll partner closely with the Industries sales team, product marketing, demand gen, and executive leadership to build on our enterprise go to market motion. RESPONSIBILITIES Enterprise Deal Playbook & Buyer Enablement Build the enterprise deal playbook and full bill of materials (BOM) — pricing guides, one-pagers, TCO/ROI guides, landing pages, and event/field collateral — mapped to every stage of the buyer's journey Build the system for keeping every sales asset current — clear ownership, last-updated dates, and a refresh cadence Develop industry-specific event concepts featuring anchor customers and AI-native accounts to build credibility with target executive audiences Vertical GTM & Industry Go-to-Market Kits Build vertical sales kits and ICP/positioning frameworks for priority industries Own industry-specific landing pages, messaging, and TCO guides, extrapolating from early AI-native accounts to larger enterprise targets Design and help launch ABM experiments in pa

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a software engineer to help build the design methodology, software abstractions, and infrastructure that enable a small silicon team to develop complex chips rapidly and with high confidence. You will turn evolving architecture and design needs into reusable tools and workflows that improve iteration speed, quality, and then apply those tools to help construct world-class silicon. You’ll work closely across architecture, design, verification, performance modeling, and systems software. This role is well suited for an engineer who enjoys building high quality software and is motivated by the challenge of improving velocity and quality of the silicon development process. In this role, you will: Develop and scale design methodologies for rapid first-party chip development and apply them to construct complex custom chips Create abstractions that allow hardware structures, configurations, experiments, and results to be represented consistently across tools. Automate high-value engineering workflows and improve their reproducibility, observability, testability, and ease of use. Partner with architects, RTL designers, verification engineers, compiler engineers, and systems software engineers to gather requirements and then implement solutions. Use methodology and tooling to identify design risks early, accelerate iteration, and improve confidence in performance and implementation tradeoffs. Contribute across multiple aspects of software and hardware

About the Job: Feature management and experimentation have converged into a single market, and the buying dynamic at the top has shifted. Engineering teams are no longer the sole evaluator — data scientists and data-focused PMs now carry equal weight on the largest deals. The bar for statistical depth, warehouse ergonomics, and experiment-first workflows is rising quickly. In traditional experimentation we have built the foundation: a trusted runtime control plane, a growing experimentation engine, and early warehouse-native capabilities. We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations. Closing that gap is the job. In AI experimentation, we have an early lead: the AI-native tooling category has invested in evaluation and conceded production experimentation, and we already have the primitives (statistical significance, multi-armed bandits, experiment-aware guardrails) that no AI-native competitor ships. Extending that lead is the other half of the job. This leader will own whether LaunchDarkly becomes the definitive experimentation platform in an AI-accelerated world. Responsibilities: Own the Experimentation pillar. Direct leadership of the Product team. Partner with Engineering and Design counterparts in a triad model. Accountable for the pillar's strategy, roadmap delivery, and commercial outcomes. Make the investment case across the in-product experimentation experience, the warehouse-native analysis layer, and the infrastructure that scales them. Make experimentation the measurement layer of the AI SDLC. Partner with our AI product, observability, and core feature management leaders to productize the capabilities we already have as AI-native primitives. Build a closed loop from offline evaluation through production experiments, to automatic promotion and rollback, to a self-improving feedback loop for agents. Win the high-maturity buyer. Earn the technical confidence of senior d

Zoox is looking for an embedded software engineer to join our Firmware Body Systems team. In this role, you will be responsible for embedded software development for the body, thermal, lighting, and closure system functions and sub-systems of the Zoox vehicle. This includes integration of supplier systems, coordination and control of all body sub-systems, and interactions with higher-level systems. You will work closely with vehicle engineers, systems engineers, controls engineers, electrical engineers, and suppliers to create a seamless and highly automated rider experience for the Zoox vehicle. We are looking for people who are passionate about working with hardware and developing production-quality code for complex dynamic systems. In this role, you will: Design, develop, and test embedded software for body, thermal, lighting, and door functions of the Zoox vehicle Create software requirements, design documentation, test plans, and other supporting documentation Work cross-functionally with vehicle engineers, controls engineers, electrical engineers, validation engineers, and other experts to ensure a seamless and highly-automated experience for the Zoox vehicle Integrate supplier sub-systems into the Zoox softwar

Zoox is looking for an embedded software engineer to join our Firmware Power Systems team. Responsibilities include designing, building, and testing real-time embedded code in C/C++ for BMS (Battery Management Systems). Key responsibilities include implementing safety algorithms, managing board bring-up, and ensuring seamless hardware-software integration. The work includes Power management and efficiency, Charging control, a variety of operator controls, integration of supplier systems, coordination and control of all Power sub-systems, and low-level vehicle controls. This work requires collaboration with vehicle engineers, systems engineers, controls engineers, and suppliers to ensure the Zoox vehicle can drive safely and reliably. We are looking for people who are passionate about working with hardware and developing production-quality code for complex dynamic systems. In this role, you will: Design, develop, and test embedded software for BMS (Battery Management Systems of the Zoox vehicle Implement core logic for cell balancing, charging control, thermal management, and contactor controls. Integrate supplier sub-systems into the Zoox software stack Create software requirements, design documentation, test plans, and other supporting documentation <span style="font-siz

OVERVIEW Starting wage is based on a number of factors including, but not limited to, the position being offered, education, training, and/or experience. Construction Resources offers additional competitive and non-financial benefits. The Machine Operator is responsible for operating several types of machinery and equipment used in the fabrication and processing of wood-based materials. This role requires technical expertise, attention to detail, and adherence to safety protocols to ensure efficient production and high-quality finished products. JOB DESCRIPTION Key Performance Indicators: Machine Operation Material Handling and Preparation Cutting and Shaping Quality Control Inspection Safety and Compliance Responsibilities: Set up machines, adjust settings, and load/unload materials to ensure proper operation and optimal performance. Monitor machine outputs, production rates, and material usage to meet production targets and quality standards. Utilize machinery to cut, shape, and profile wood-based materials according to technical drawings, templates, or design specifications. Ensure precise alignment, layout, and symmetry of cuts to maximize material yield and minimize waste. Inspect components for defects, imperfections, or inconsistencies in color, pattern, or finish while operating or unloading the machine. Perform dimensional checks, surface inspections, and quality tests to ensure compliance with project specifications and industry standards. Make adjustments to meet quality standards and customer expectations. Adhere to all safety protocols, procedures, and regulations to prevent accidents, injuries, and property damage. Wear appropriate personal protective equipment (PPE) and use safety guards and devices on machinery and equipment. Perform routine maintenance tasks on machinery and equipment to ensure optimal performance and longevity including housekeeping of machine and surrounding areas. Basic Qualifications: High School Diploma or GED required. CNC Saw

About the Role As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next. In this role, you will: Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions. Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions. Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains. Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets. Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently. Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance. Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building custom silicon for Claude. The hardware our models run on is one of the most direct levers we have on capability, cost, and reliability — and we've decided to take design authority over it ourselves. We're looking for a Technical Program Manager to own end-to-end execution of our silicon, from architecture definition through tapeout, first-silicon bring-up, and production ramp. You'll be working alongside a small group of domain experts across front-end design, verification, physical design, DFT, analog/mixed-signal, foundry, and packaging. There is no process to inherit — you'll build the execution machinery this program runs on. This is a partner-heavy program by design. You'll drive a portfolio of external engagements — ASIC design services, IP vendors, foundry, and OSAT. You should have shipped chips before, know what a realistic silicon schedule looks like and its failure modes, and be comfortable making consequential program calls without a large organization behind you. And because this is Anthropic, you'll have Claude as a collaborator — we expect the TPMs on this team to push hard on what AI-assisted program management can look like. Key responsibilities Own the integrated silicon program plan — architecture closure, RTL freeze, DV milestones, IP delivery, PD closure, DFT, tapeout, and post-silicon bring-up. Drive external partner execution across ASIC design partners, IP vendors, foundry, and packaging/test. Run technology and IP selection as a program: track candidate vendors and options, drive evaluations to a decision, and land the build / buy / license calls with engineering leadershi

(FEQ427R351) Senior Specialist Solutions Engineer - Platform Security and Cloud Infrastructure As a Senior Specialist Solutions Engineer, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. This is a customer-facing role that works with and supports the Field Engineering pre-sales teams and requires hands-on production experience with cloud infrastructure and big data technologies. Specialist Solutions Engineers help customers through the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: Technical thought leader : Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices, including automation Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, workload sizing, and custom architectures Cloud Infra & Security Expertise Architect production-level cloud native governed workloads Provide technical expertise in cloud infrastructure and security relating to our Databricks Lakehouse Platform Community & Adoption : Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community. What we look for: Pre-sales or post-sales experience working with external customers (or internal clients/stakeholders) across industries 4+ years of experience designing Cloud infrastructure/Security and services, s

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the Underwriting ML team, you’ll build and improve machine learning systems that make real-time transaction decisions, assessing the repayment risk and expected value of every Affirm checkout. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as user behavior and macroeconomic conditions evolve. What you’ll do - You will develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows - You will collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field. - Strong Python skills and experience writing production-quality code. - Experience building and evalua

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. On the Underwriting ML team, you’ll build and improve machine learning systems that make real-time transaction decisions, assessing the repayment risk and expected value of every Affirm checkout. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as user behavior and macroeconomic conditions evolve. What you’ll do - You will develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows - You will collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field. - Strong Python skills and experience writing production-quality code. - Experience building and evaluating models for classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar). - Experience with a deep learning fra

Salary Range: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role. About the job Help make Graphcore’s AI accelerators feel native inside modern Kubernetes environments. As a Senior Cloud Software Engineer, you will lead software that enables new AI accelerator hardware within Kubernetes. You will build Go applications that make complex hardware simple to deploy, manage and operate. Your work will help engineering teams integrate new hardware into existing clusters with a smooth Kubernetes experience. You will shape how users interact with Graphcore technology in cloud-native environments. You will design, build, test and maintain production-quality software, while guiding engineers through complex technical decisions. You will also help strengthen documentation, code quality and delivery standards. This role sits close to hardware, orchestration and cloud infrastructure. It offers rare ownership over software that connects AI compute with the systems used to run it. The team and culture You will work with engineers across cloud software, hardware, platform and infrastructure. The team turns complex integration problems into practical software that users can trust. Work happens through clear technical ownership, direct communication and fast feedback. You will be expected to lead by example, mentor others and raise the quality bar. Decisions are guided by evidence, engineering judgement and open discussion. You will have space to speak up, take responsibility and move important work forward. What we’re looking for Strong experience in software development, ideally with cloud environments or infrastructure platforms Proficiency in Go, with the ability to design, build and maintain reliable applications Deep Kubernetes experience, including container orchestration and cloud-native development Strong Linux knowledge and confidence troubleshooting complex technical issues A track record of delivering complex technical solutions and