Engineering Director Expert Jobs

Become a part of our caring community You have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have experienced the consequences of operating without them. You are at your best when you own architecture decisions while continuing to build and deliver critical code yourself. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to source documents, and route complex cases to human experts. The output of these systems supports healthcare decisions that impact real members. As a Lead AI Applied Engineer, you will provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. You will lead through both technical expertise and execution, helping the team deliver reliable, scalable, and auditable AI solutions in a highly regulated healthcare environment. Why Join Us Lead the architecture of production AI systems where LLMs are foundational to the product experience. Make key technical decisions regarding model selection, system boundaries, platform architecture, and build-versus-buy strategies. Own the highest-risk and highest-impact technical challenges involving reliability, explainability, and correctness. Influence engineering culture and establish standards that shape how the team builds and ships AI products. Work on systems operating at meaningful scale, processing millions of documents and supporting healthcare decisions across a large member population. Partner

Become a part of our caring community Every large organization is making critical decisions today about how it will leverage AI over the next decade. Few have leaders who can both define that vision and demonstrate its viability through hands-on engineering. This role requires both. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations to source documents, and route difficult cases to human experts. These capabilities support decisions that impact real healthcare outcomes for members. As a Principal AI Applied Engineer, you will define the technical strategy, architectural standards, and long-term vision for AI-enabled products across the organization. You will influence enterprise-wide decisions regarding AI platforms, model strategies, engineering standards, and technology investments while remaining deeply hands-on in prototyping, experimentation, architecture, and software development. This is the highest-level individual contributor role within the AI Applied Engineering organization. Success requires exceptional technical depth, organizational influence, strategic thinking, and the ability to translate emerging AI capabilities into scalable, reliable, and responsible production systems. Why Join Us Shape the long-term AI architecture and engineering direction for a large enterprise healthcare organization. Influence how AI-enabled products are designed, built, evaluated, deployed, and governed across multiple teams. Drive strategic decisions involving models, vendors, platforms, infrastructure, and shared capabilities. Prototype and validate emerging technologies before the organization invests at scale.</

NVIDIA is now looking for a Senior Memory System Engineer to join our ASIC Memory Subsystem team! As a Senior Systems Engineer at NVIDIA, you'll join a group of hardworking engineers to develop and architect innovative Memory Solution for Tegra SoCs. In this position, you'll make a real impact in a multifaceted, technology-focused company. You will work with memory controller/PHY and Platform / System architect, Firmware, SI/PI, Memory suppliers to design and architect cutting edge, high speed and lower power memory technology for NVIDIA CPUs and SOCs. What You Will Be Doing: Analyze future DDR/LPDDR/HBM technologies to determine optimum performance, power, function and RAS in memory for Next generation SOC and Systems. Collaborate with ASIC Architects, Designers, Software and Firmware SW/FW teams to drive memory technology and associated requirements for memory controllers. Define Memory module, Package, and PCB layouts appropriate to the system workloads Debug and bring up memory evaluation / validation and failure issues on memory technology. Collaborate with DRAM suppliers and industry partners on to develop memory and memory related component technology. What We need to see: Bachelor's degree or master’s degree in Electrical Engineering, Computer Engineering (CE), or a related field (or equivalent experience) 10 years of proven track record in DRAM design, module design, or memory sub system design. Deep understanding and strong fundamental of memory design, features, ECC algorithm, SI and PI (Training algorithm) in DDR, LPDDR, and HBM. Strong understanding of memory sub system level interaction with Cache, Memory controller and PHY. Experience in the design, bring-up and validation for memory failure analysis Experience with Python, C/C

Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and on collaborations across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you! What you'll be doing: Shape the application architecture internally, with a focus on perception & sensor fusion, by collaborating closely with architecture and software development teams. Integrate and adapt NVIDIA solutions in target vehicles, ensuring that both perception and sensor fusion are adapted and tuned to meet the desired driving performance and functionality. Lead bring-up activities and provide technical support to resolve functional and perception & sensor fusion related issues. Perform and leverage in-vehicle and simulation test drives for functional and performance analysis on the recorded data. Work with our partners to efficiently integrate hardware and software components, understand the system architecture, profile performance, identify bottlenecks, and drive optimization <

Job Details: Job Description: The Role and Impact As a Development Tools Software Engineer, you will play a vital role in creating and optimizing cutting-edge software tools that support diverse engineering domains such as design, manufacturing, validation, silicon production, systems integration, and ecosystem enabling. On a day-to-day basis, you'll design, develop, debug, and validate algorithms, tools, and systems that empower internal and external engineering teams to deliver impactful products. Your contributions will directly enable the seamless integration of Intel silicon and software into innovative solutions, driving progress across industries. Business group You will join Intel Corporation, a leading global technology company dedicated to advancing semiconductor innovation and creating solutions that enrich the lives of people worldwide. The team focuses on developing robust software tools and methodologies that support Intel's engineering ecosystem, fostering excellence and driving high-quality results. This group plays a critical role in enabling Intel's broader mission of building world-class technologies and products that power the future of the digital world. Key Responsibilities - Design and implement software tools using modern software development methodologies and programming languages. - Debug, validate, and optimize algorithms and software systems for engineering applications, ensuring high performance and reliability. - Collaborate with cross-functional teams to create solutions that enable seamless integration of Intel silicon and software into impactful products. - Utilize secure coding practices to ensure the robustness and security of software tools across various engineering domains. - Continuously explore innovative solutions to enhance design, manufacturing, validation, and testing processes. <p st

Job Title Project Manager – CAPA & Complaints Job Description Project Manager – CAPA & Complaints Your Role: Coordinate teams across Quality, R&D, Engineering, Manufacturing, Operations, Supply Chain, Procurement, Regulatory, Service and Customer Quality. Identify recurring CAPA themes and opportunities for systemic improvement. Coordinate implementation of corrective/preventive actions, including process, product, system and documentation changes. Maintain CAPA dashboards and management reporting. Drive accountability across CAPA action owners. Own and track business KPIs related to complaint and investigation timelines, quality, and throughput. Provide regular KPI, progress, and risk updates to leadership and key stakeholders. Drive timely closure of complaints and investigations through structured follow-up with action owners. You're the Right Fit If: Bachelor's or Master's degree in Mechanical/Electronics Engineering Experience: 10&#43; years in Project Management , preferably with CAPA and Complaints Handling in Medical Devices. Strong knowledge of Quality Management Systems and risk-management principles. Skills : Strong data analytics skills with the ability to derive insights from operational and performance data. Excellent stakeholder management and communication skills across multiple organizational levels. Strong presentation and reporting capabilities, including development of executive-level dashboards and updates. Proven ability to drive accountability and coordinate cross-functional teams without direct authority. Experience in process improvement, operational excellence, and AI

Work Flexibility: Onsite It's Time to Join Stryker! Stryker is seeking a Manager, Robotics Platform Development to lead a growing engineering organization supporting the development and evolution of complex robotic medical technology. In this role, you will lead a multidisciplinary team spanning electrical engineering, systems engineering, product safety, and engineering contractors. You will focus on people leadership, organizational scalability, and engineering execution , ensuring teams are appropriately staffed, supported, and positioned to deliver complex platform development commitments. You will partner closely with project management and senior technical leaders, helping translate program priorities into executable plans while enabling technical leaders to remain focused on architecture, systems strategy, and technical excellence. What You Will Do People and Organizational Leadership Lead, coach, develop, and engage a multidisciplinary engineering organization supporting complex robotic platform development. Establish clear performance expectations, provide actionable feedback, and support career and professional development. Lead a blended organization of full-time employees and contractors, including workload planning, onboarding, integration, and day-to-day coordination. Support staffing and organizational planning as program and business needs evolve. Build a collaborative, accountable team culture focused on execution, quality, and continuous improvement. Engineering and Program Execution Drive execution across complex hardware and systems development activities, ensuring teams have the resources, priorities, and support needed to deliver program commitments. Partner with project and progr

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Support post-sales engagements focused on the optimization, retention, and growth of Stripe’s enterprise customers. Manage a book of customers to drive overall account health, including performance, product adoption, usage velocity, account renewals and growth, referrals, and customer satisfaction. Serve as a trusted payments and product advisor to manage customers by delivering payment performance and industry insights. Perform business reviews to align on user priorities, review payments performance metrics, share company product roadmap and provide guidance on how to optimize the value from the company. Advocate for the customer to internal stakeholders. Share customer feedback and insights to Product Management, Engineering, Support, Marketing, and Sales on the innovation and improvement needed to optimize the company user experience. In coordination with an account team, support book expansion, identify and surface opportunities to ensure customers are successful. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Engineering, Computer Science, Business Administration, Management, or a related field, plus four (4) years of experience in enterprise customer success or strategic account management. Must also have four (4) years of experience in each of the following: Supporting expansion of complex accounts, including identifying opportunities, driving business ou

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic is looking for a Sr. Salesforce Engineer & Dev Ops Specialist who combines deep architectural intuition, clean coding, and sharp debugging skills with an AI-native workflow (Cursor, Claude Code, Codex). You will serve as the technical backbone of our Salesforce ecosystem—owning the release lifecycle, managing GitHub administration, git automation, and CI/CD pipelines, while facilitating engineering practices across Certinia PSA, CPQ/ARM, AI initiatives, and cross-functional enterprise projects. Balancing hands-on platform development with release engineering, you will streamline revenue processes and scale architecture to deliver high-quality, reliable production solutions. What You Will Be Doing Dev Ops & Release Engineering: Lead end-to-end Dev Ops operations, including GitHub administration, git automation, branching strategies, CI/CD pipeline optimization, scratch org/sandbox management, backup strategies, and release governance. Full-Stack Salesforce Development: Design and build full-stack features—UI, APIs, business logic, data models, and integrations—using LWC, Apex, SOQL/SOSL, Flows, and modern REST/event-driven patterns. Core Business Platforms: Drive technical design and development across Certinia PSA, CPQ/ARM, and cross-functional enterprise initiatives. AI-Native Engineering: Utilize AI tools (Curso

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, Fab 10 (1 North Coast Drive, Singapore 757432) Department Photolithography Process and Equipment Engineering Project Title AI-Enabled Quality Drift Detection and Engineering Workflow Automation Project Description Advanced data analytics and machine learning are increasingly used in semiconductor manufacturing to improve efficiency, process control, and quality performance. This internship project focuses on applying data analytics and machine learning techniques to large-scale quality datasets for faster detection of quality-metrics drift. The intern will contribute to an end-to-end solution covering data querying, preprocessing, analytics, modelling, and results visualization. Objective of the Project Develop analytical models for monitoring key quality metrics and detecting potential drift. Apply machine learning and multivariable analysis to large-scale test and measurement data. Create automated workflows that improve engineering productivity and analytical efficiency. Develop visualizations that communicate model results and quality trends effectively. Opportunities for Full Tim

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 Test Solutions Engineering Key Equipment Group develops, deploys, and supports wafer probe equipment and processes that enable high-volume semiconductor manufacturing across Micron's global operations. The team drives innovation, quality, efficiency, and standardization through advanced equipment solutions, process development, and collaboration with manufacturing, test, and quality organizations worldwide. As an Intern Engineer, you will work alongside experienced engineers to develop and evaluate innovative wafer probe equipment and process solutions. Through hands-on projects, data-driven analysis, and cross-functional collaboration, you will gain practical experience in semiconductor manufacturing, equipment characterization, process validation, and technical problem-solving while preparing for future engineering roles in a team-oriented environment. Responsibilities Assist with the development, characterization, validation, and deployment of wafer probe equipment, hardware, software, and process improvements. Design and execute experiments using statistical methods and Design of Experiments (DOE) techniques to evaluate equipment and process performance. Analyze manufacturing and equipment performance data, identify trends, and recommend solutions to improve quality, reliability, and efficiency. Create and deliver technical reports, presentations, and documentation that communicate project findings and recommendations. Leverage AI-enabled tools and automation solutions to improve

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. Project Title Target Traveler Deployment for Enhanced Process Control in Semiconductor Probe Operations Project Description Develop and deploy a digital Target Traveler solution to standardize process control and improve execution consistency across Probe operations. The project will focus on translating critical process requirements into an automated traveler system that provides real-time visibility, ensures compliance to process control plans, and enables systematic tracking of key manufacturing parameters. Project Scope Review current Probe process flows and identify critical control points requiring Target Traveler deployment. Define process control requirements, parameter limits, and escalation criteria with engineering stakeholders. Configure and deploy Target Traveler templates for selected Probe operations. Develop data collection and reporting mechanisms to monitor compliance and process performance. Analyze process deviations and recommend improvements to strengthen process control effectiveness. Create dashboards and visualizations to provide real-time monitoring of Target Tra

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 1 North Coast Drive, Singapore Department F10 Process and Equipment Engineering, Chemical Vapour Deposition Module Project Title Big Data Analysis of Wafer Bevel Wafer Intelligent Scanner Metrics for Defect Reduction Project Description The Wafer Intelligent Scanner collects inspection data from the edge, or bevel, of wafers during semiconductor manufacturing. This internship project uses data analytics to study Wafer Intelligent Scanner metrics, identify patterns linked to defects, and determine early warning indicators that may help prevent future yield issues. The goal is to transform large volumes of inspection data into actionable insights that enable engineers to detect potential issues earlier and reduce wafer defects. The intern will gain practical exposure to semiconductor process and equipment engineering, defect analysis, machine learning, and AI-Enabled manufacturing analytics. Objective of the Project Identify Wafer Intelligent Scanner metrics associated with wafer defects and yield loss. Develop a data-driven methodology for detecting abnormal wafer bevel behaviour. Evaluate statistical, machine learning, and Artificial Intelligence t

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 vision is to transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we accelerate the transformation of information into intelligence, enabling advances in learning, communication, and technology. Micron's Boise site is at the center of a historic semiconductor manufacturing expansion, supported by a $15 billion investment. This growth creates exciting opportunities for students to contribute to leading-edge DRAM manufacturing while developing technical expertise in one of the world's most advanced fabrication environments. The ID1 High Volume Manufacturing Process Engineer supports process quality, yield improvement, manufacturing efficiency, and cost reduction within a high-volume semiconductor fabrication environment. This role partners closely with equipment engineers, manufacturing teams, process owners, and operations leaders to find opportunities, resolve process issues, and optimize wafer output. The successful candidate will apply statistical analysis, engineering principles, and data-driven decision making to improve manufacturing performance, support operational excellence, and contribute to key area performance indicators. Responsibilities Monitor, analyze, and improve manufacturing processes to achieve yield, quality, throughput, and cost objectives. Apply SPC, FDC, Design of Experiments, and systematic problem-solving methodologies to identify and resolve process deviations and chronic is

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Position Summary The Senior Software Engineer will manage, support, and customize SonicWall's Oracle Agile PLM platform and support its modernization toward Oracle Fusion Cloud PLM. Beyond core PLM, this role owns EDI and system-to-system integrations between Oracle and other enterprise systems — ERP, CRM, the data platform, and external/partner systems — and contributes to SonicWall's agentic AI initiatives by building AI-assisted automations within the PLM and integration landscape. This is a hands-on, full-stack engineering role with a high degree of autonomy, operating within our established delivery, change, and security processes. The ideal candidate can operate and extend the PLM platform, deliver robust Oracle-to-external integrations, and apply modern AI tooling to reduce manual effort and accelerate product and transactional data flows across the enterprise. Key Responsibilities PLM platform: Manage, support, and customize Oracle Agile PLM (Product Collaboration, PQM, PG&C), and support the roadmap toward Oracle Fusion Cloud PLM. Deliver product changes: Interface with users to de