Engineering Director Expert Jobs

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a hands-on Manufacturing Engineer to own the manufacturing interface between package design, semiconductor assembly, package test, board assembly, and final product integration. This role is focused on making advanced packages manufacturable and transferable from design engineering into qualified OSAT processes and downstream board/system assembly. You will work closely with Packaging Engineering, Silicon Manufacturing and Test, Quality, Supply Chain, PCB/board design, and external partners such as substrate suppliers, OSATs, test houses, and contract manufacturers. The ideal candidate understands how package decisions—such as package size, substrate construction, bump and ball design, warpage, underfill, materials, and assembly location—affect package yield, package test, PCB footprint and stencil design, SMT assembly, and final product readiness. This role is remote based out of Taiwan but requires close engagement with regional OSATs, foundry/test partners, contract manufacturers, and Tenstorrent engineering teams across multiple time zones. Regular on-site presence at partner factories is expected during qualification, commissioning, build, and ramp activities. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and of

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. Location 990 Bendemeer Road, Singapore 339942 (MSB) Department Manufacturing Test, MSB Project Title Faster Manufacturing Metrics Analysis and Drift Detection Using Advanced Data Analytics and Machine Learning Project Description Data analytics and machine learning are used in manufacturing operations to improve efficiency and provide greater visibility into production-line health. Large volumes of data are generated from electrical tests, physical tests, and manufacturing measurements, creating opportunities for faster analysis and earlier detection of abnormal performance. This internship project focuses on developing an end-to-end analytical solution covering data querying, preprocessing, feature engineering, modelling, and results visualization. The intern will apply advanced analytics and machine learning techniques to manufacturing data to improve metrics analysis and identify potential performance drift. Through this project, the intern will gain exposure to industrial data analytics, predictive modelling, simulation, optimization, and visualization techniques used in semiconductor manufacturing. Objective of the Project Develop an end-to-end analytics solution for faster ma

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations secure and manage their extended enterprise while transforming their customers’ experiences. With thousands of global customers, 7,000+ app integrations, and over 200 million registered users, we are only getting started. As a member of the Developer Productivity Engineering team, you will tackle high-impact challenges across development environments, AI enablement for engineering, scalability, and stability. Grounded in Okta’s core value— Always Secure. Always On. —your work directly powers developer velocity, system reliability, and software quality at scale. You will act as a force multiplier for our engineering teams by identifying workflow bottlenecks, pioneering AI integrations, establishing best practices for code organization, and maintaining performant development environments. What You’ll Do Design & Automation: Build and ship automated solutions that allow developers to deliver features rapidly without compromising quality, stability, or security standards. Environment Performance & Tuning: Analyze local development workflows, build tools to track operational metrics, and profile/tune development environments (including codebase modifications). AI & Tooling Enablement: Leverage AI technologies across the development stack

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A

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. Location Singapore Department Advanced Device Technology and Systems, Advanced Technology Enablement Dry Etch, F10 Project Title Dry Etch Process Performance Optimization Using Data Analytics and Artificial Intelligence Project Description Dry etch is a critical semiconductor manufacturing process that has a significant impact on product yield, cycle time, and manufacturing capacity. This internship project focuses on applying process engineering, data analytics, and AI-Enabled methods to understand process behavior, identify performance gaps, and develop improvement recommendations. The intern will work with manufacturing, equipment, and process datasets to explore opportunities related to process stability, productivity, and yield. The project will provide practical exposure to dry etch process engineering, industrial data analytics, data visualization, and Artificial Intelligence applications. Objective of the Project Analyze dry etch process and equipment performance using manufacturing data. Identify sources of process variation, performance drift, productivity loss, and yield impact. Develop data-driven recommendations for improving process stability

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. Location Singapore Department Process Equipment Engineering (PEE) Project Title AI-Enabled CMP Equipment Health & Breakage Risk Prediction Dashboard Project Description Chemical Mechanical Planarization (CMP) tool performance directly influences wafer quality, equipment reliability, and manufacturing efficiency. This project focuses on developing an AI-Enabled dashboard that integrates fab equipment and manufacturing data to identify early indicators of wafer breakage, equipment degradation, and yield excursions. The intern will work on data exploration, predictive analytics, and visualization techniques to develop an intelligent monitoring solution that enables proactive decision-making. Through this project, the intern will gain exposure to semiconductor manufacturing equipment, reliability engineering methodologies, Artificial Intelligence applications, and data-driven engineering practices within a high-volume manufacturing environment. Objective of the Project Develop an AI-Enabled equipment monitoring and risk prediction dashboard capable of identifying potential CMP tool-related wafer breakage and excursion risks before significant manufacturing impact occurs. Oppo

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. Location Singapore Department Manufacturing Wet Process Engineering (MFG WET) Project Title AI-Enabled Germhold Reduction for Dry Strip Workstation Project Description This internship project focuses on leveraging data analytics and AI-Enabled methodologies to understand and reduce equipment Germholds within the Dry Strip workstation in a semiconductor manufacturing environment. The project aims to identify key factors contributing to Germhold occurrences, develop data-driven insights, and evaluate opportunities to improve workstation efficiency and manufacturing capacity. The intern will gain hands-on experience working with operational datasets, engineering teams, and manufacturing equipment while exploring the application of Artificial Intelligence, machine learning, and predictive analytics within semiconductor manufacturing processes. Objective of the Project Identify key drivers and trends associated with equipment Germholds in the Dry Strip workstation. Apply data analytics and machine learning techniques to uncover opportunities for Germhold reduction. Develop a structured methodology to improve understanding of equipment performance and opera

Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. For over 20 years we’ve equipped the most progressive global capital market players with powerful algorithmic technology and direct connectivity to more than 80 exchanges worldwide. Our single multi-asset platform and our unfaltering commitment to client partnership allow us to promise Performance Simplified: making it easy to be the best in trading. We are hiring a Customer Delivery Manager based in Hong Kong for the APAC Market. Customer Delivery Manager is a key stakeholder at Horizon Software, she/he acts as a link not only between customers and the company but also between various teams, including Sales, Legal, Account Managers, Product Owners, Product Experts, Client Services and Engineering teams. Your day to day? Pre-sale phasis: Assist presales Define scope and deliver project definition Write specs / requirements, involve product experts & product owners when needed Provide Timeline & Budget with Managed Services (one off and recurring cost) Client onboarding: Work closely with Horizon teams to identify gaps & implementation risks in early project phases, Get UAT Sign Off for Project Delivery / Onboarding Communicate internally about project progress to Sales and Management teams Ensure that projects are delivered in respect of deliverables in respect of contract (SLA), budget and quality standard, deliver reports and follow-up (budget, structure, planning, resources) Follow-up Software Onboarding (after integration by engineering): gather client's feedback on Initial Install Measure client technical satisfaction through onboarding and client sign off once Live Run and other tasks: Gather client requests and manage the workflow of tickets in our tracking tool (escalation if needed) Give visibility to clients on delivery plans for bug fixes and new

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better About the Role As a Hardware Engineer, Electronics Packaging & Vehicle Integration, you will lead the mechanical architecture, design, and delivery of electromechanical systems for DoorDash’s next-generation autonomous delivery vehicle. You will develop robust packaging solutions for compute, electrical, communications, and sensor-related hardware that operate reliably in demanding real-world fleet environments. This role sits at the intersection of mechanical engineering, vehicle integration, and product reliability. You will partner closely with electrical engineering, PCB design, industrial design, systems engineering, manufacturing, supplier partners, reliability, and operations teams to turn system requirements into durable, manufacturable, serviceable, and cost-effective product designs. You will own designs from concept through launch, including electronic enclosures, housings, mounting systems, seals, connector interfaces, and vehicle-level integration features. Success in this role requires strong mechanical design judgment, practical experience with production processes, and the ability to resolve cross-functional packaging tradeoffs. Responsibilities: Own the mechanical design and release of electronic packaging, housings, enclosures, and vehicle integration solutions in support of program timing and product launch. Design components

CSQ227R220 The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers in the Financial Services sector for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts. The impact you will have: Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: 7-10 years running a Professional Services line of business. 10+ years in senior customer-facing roles with a mix of influencing and execution. Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). Strong knowledge of Databricks architecture, competitors, and migration benefits. Proven track record of managing large-scale program plans and service delivery. Ability to travel up to 25-50% as required. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate

Team Member - Techno Commercial (Mechanical/Utilities) supports the technical and commercial activities related to mechanical engineering and utilities management within the organization. This role involves assisting in project execution, vendor coordination, cost management, and the integration of new technologies to enhance operational efficiency. Source: Adani Group | Job ID: 32517

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Manufacturing Engineer serves as the senior technical authority for assembly process and equipment design within the Industrialization team. This position designs the assembly lines, fixtures, and material flow systems that convert KARNO prototype and development builds into repeatable, scalable production operations — and then systematically removes waste, labor content, and variation from those operations. Working closely with industrialization leadership, design engineering, production, quality, and supply chain, the Senior Manufacturing Engineer owns the most complex assembly value streams end to end: line and station design, fixture and tooling design, material presentation and handling, process qualification, and continuous waste reduction. This position sets the technical standard for how assembly processes are designed and documented at Hyliion, provides mentorship and design review for other manufacturing engineers, and is accountable for measurable improvement in cycle time, first-pass yield, labor content, and ergonomics across the assembly areas. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Assembly Line and Cell Design : Design assembly lines, cells, and workstations for KARNO core, module, and subassembly operations. Establish work sequencing, balance work content to takt, define station layouts and footprints, and design lines that accommodate planned rate increases rather t

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. Location Micron Singapore Bendemeer (MSB) Department Solid State Drive Manufacturing Operations Project Title Solid State Drive Manufacturing Productivity and Operational Improvement Project Description The Solid State Drive Manufacturing Intern will undertake a structured improvement project within the Manufacturing Operations team. The intern will apply industrial engineering, lean manufacturing, and data analytics principles to identify opportunities related to productivity, quality, safety, material flow, and operational efficiency. The project may cover Front End of Line, Middle End of Line, Back of Line, or Configure-to-Order manufacturing operations. The intern will gain practical exposure to semiconductor manufacturing while collaborating with Manufacturing, Industrial Engineering, Process Engineering, Test Engineering, Quality, and Planning stakeholders. Where relevant, the intern will use AI-Enabled analytics tools, Generative AI, or an AI Assistant to enhance data analysis, identify patterns, develop visualizations, and improve project documentation. Objective of the Project The objective is to provide the intern with practical experience in manufacturing improvement

At United Integrated Services (UIS), we build more than facilities—we build the infrastructure that enables technologies to shape the future. As a global engineering and construction company specializing in the semiconductor industry, UIS brings together talented people, technical expertise, and innovative solutions to deliver the most complex and critical projects in the industry. Our U.S. team is helping build the next generation of advanced semiconductor manufacturing facilities, working alongside some of the world's leading technology companies. Our work requires precision, collaboration, accountability, and a commitment to doing things the right way—from the planning and engineering stages through construction and project completion. As UIS continues to grow, we are building more than projects. We are building teams, developing careers, and creating opportunities for talented professionals to make a meaningful impact. If you are looking for an opportunity to work on challenging projects, grow your career, and be part of something bigger, we invite you to build the future with UIS. WHAT WE OFFER Comprehensive Benefits – Medical, Dental, Vision, Short-Term Disability (STD), Long-Term Disability (LTD), and Life Insurance provided at no cost to employees. Competitive Compensation – Competitive salaries and opportunities for performance-based incentives. Career Growth – Opportunities to develop your skills, take on new challenges, and grow with a rapidly expanding organization, supported by education reimbursement for eligible employees pursuing continued learning and professional development. Meaningful Work – The opportunity to contribute to some of the most advanced semiconductor construction projects in the country. Collaborative Environment – Work alongside experienced professionals across engineering, construction, project management, safety, procurement, and operations. Summary: United Integrated Services (USA) is looking for a BIM

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. Location F10N Department Real-Time Defect Analysis Project Title AI-Enabled Defect Analytics and Yield Investigation Project Description The intern will undertake an engineering project focused on defect analysis and semiconductor yield improvement. Under engineer guidance, the intern will analyze defect and yield data, investigate selected excursions, and develop analytics or AI-Enabled solutions that improve analysis efficiency and accelerate root-cause identification. Objective of the Project Identify defect and yield trends using manufacturing data. Apply statistical analysis to a selected yield investigation. Develop an analytics, automation, or Artificial Intelligence solution. Generate data-driven findings and improvement recommendations. Opportunities for Full Time Employment Interns may be considered for future internship or full-time employment opportunities based on business needs, role availability, academic completion, and demonstrated capabilities. Project Scope Analyze defect, yield, and excursion data to identify trends and correlations. Investigate s