Engineering Effectiveness Manager 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. Responsibilities Serve as the technical-functional domain authority for EHSS business systems, including SAP S/4HANA, ServiceNow, and related enterprise platforms. Evaluate business and regulatory requirements and determine the most appropriate platform, workflow, integration, automation, or technology solution to meet business needs. Assess standard platform capabilities, identify functional gaps, and recommend scalable, supportable, and compliant system solutions. Review and validate system builds, configurations, interfaces, and integrations to ensure alignment with business objectives, enterprise standards, controls, and audit requirements. Define and maintain the EHSS systems architecture and interoperability blueprint, including systems of record, integrations, workflow handoffs, and functional boundaries. Analyze the impact of system changes across business processes, applications, users, controls, and upstream/downstream dependencies. Partner with IT, Enterprise Architecture, data teams, AI and automation teams, and implementation partners to align EHSS solutions with enterprise technology standards and roadmaps. Steward the EHSS systems landscape by finding opportunities to improve integration, reduce technical debt, strengthen supportability, and guide future platform enhancements, consolidations, or retirements. Minimum Qualifications Bachelor's degree in Information Systems, Computer Science, Engineering, Business Information Technolo

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 Department System Product Engineering Project Title Engineering Workflow Improvement and Data Analytics for Solid-State Drive Product Engineering Project Description As a System Product Engineering Intern, you will work on a structured engineering project focused on improving workflow efficiency, data analysis, and information management across solid-state drive product development and manufacturing. You will collaborate with product engineers, data engineers, and cross-functional stakeholders to study existing engineering processes and develop practical digital solutions. The internship will provide hands-on exposure to engineering data, automation, software development, and data visualization. Where relevant to the selected project, you may also explore AI-enabled tools for engineering information retrieval or data analysis. Objective of the Project Study selected System Product Engineering workflows and identify opportunities for process improvement. Develop data analytics or automation solutions that improve the efficiency and consistency of engineering activities. Strengthen the availability and presentation of engineering information for technical re

Data Architect, AI and Supply Chain Insights Description - Job Summary We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible for owning and evolving a portfolio of Data Products, designing scalable and reusable data models, and ensuring data assets are trusted, governed, and optimized for reporting, analytics, Data Science, Machine Learning, and AI use cases. The successful candidate will work closely with business stakeholders to understand processes, priorities, and opportunities, translating them into data strategies and architecture solutions that maximize business value and adoption. A strong understanding of data engineering concepts is foundational and required, including how data is acquired, transformed, and delivered across modern data platforms. The primary focus of the role is on data architecture, data modeling, data product maturity, business engagement, and AI ready design. Success is measured by the ability to create scalable, business ready data products that enable self service analytics, advanced insights, continuously leveraging the evolving AI technologies for our Supply Chain Stakeholder. The ideal candidate combines deep expertise in data architecture and modeling with business acumen, critical thinking, problem solving and a passion for innovation. They partner with business leaders, Data Engineers, Data Scientists, Product Owners, and AI practitioners to transform complex business challenges into data driven solutions Responsibilities Own and evolve a portfolio of Supply Chain Data Products, ensuring they are certified, compliant, governed, and aligned to the latest Data Governance standards while maximizing business value and adoption. Partner with busi

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. The CVD Central Process and Equipment Engineering (CPEE) High Volume Manufacturing organization is seeking a highly motivated engineer to drive manufacturing excellence, equipment performance, and network-wide productivity across Micron's global semiconductor fabrication facilities. This role is responsible for developing and executing manufacturing strategies that improve equipment capability, factory output, cost competitiveness, and technology readiness while leveraging advanced analytics, digital manufacturing solutions, and AI-enabled tools to accelerate decision making and operational improvements. The successful candidate will work closely with global manufacturing teams, technology development organizations, and strategic equipment suppliers to define long-term equipment and manufacturing roadmaps, identify future capability requirements, and accelerate deployment of innovative solutions across the Micron network. This position provides a unique opportunity to influence manufacturing strategy, shape supplier development priorities, and drive competitive advantage through advanced equipment and manufacturing solutions. Strategic Manufacturing & Supplier Leadership •Develop and drive long-term manufacturing and equipment capability roadmaps to support future

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: Working directly with customers to troubleshoot and resolve their most complex technical issues,

At Lyft, our purpose is to serve and connect. Lyft Urban Solutions designs, builds, and operates bikeshare systems in more than 50 cities worldwide, including New York, Chicago, London, Barcelona, Mexico City, Rio de Janeiro, and Montréal. Our Longueuil facility is the birthplace of BIXI, North America's first automated bikeshare system, and today builds the bikes and stations behind some of the world's largest bikeshare networks. We are looking for an Industrialization Engineer Intern to join our Manufacturing & Quality Engineering team at our Longueuil factory. You will work on the production floor with assembly, warehouse, and quality teams to make our processes faster, safer, and more consistent. You will also be part of a global team that supports factories and suppliers across North America and Asia. Responsibilities: Map current-state material flow and factory/warehouse layout, then propose improvements that reduce waste and operator travel. Run cycle time studies across assembly and warehouse operations to find bottlenecks and improve throughput and line balance. Audit SOP adherence on the floor, identify gaps, and drive corrective actions or SOP updates. Lead 5S audits and implement visual controls and workplace organization standards. Build dashboards that track throughput, WIP, cycle time, and SOP compliance, and turn the data into recommendations. Create visual work instructions, standard work sheets, and layout drawings to support operator training. Support continuous improvement projects, including ergonomic assessments, workstation redesign, and tooling and fixture improvements. Prepare processes for engineering changes (ECOs) and new product introductions, including layout changes and workstation validation. Partner with Quality to investigate production defects and contribute to root cause analysis and PFMEA updates. Experience: Currently enrolled in a Bachelor's or Master's program in Industrial, Manufacturing, or Mechanical Engineering, or a r

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lyft Rider Science team is seeking an Applied Scientist intern to develop next-generation user simulation methods using state of the art AI methods. The goal of this project is to develop and validate LLM-based Rider Agents that can serve as behavioral proxies for real riders, and study when agent simulations can provide reliable signal about rider responses to product interventions before online experimentation. You will build agent-based simulation systems grounded in real rider context and behavioral data, evaluate their fidelity against observed rider behavior and historical experiments, and study where these simulations can accelerate product iteration and experimentation. This role combines LLM engineering, agent-based modeling, machine learning, and causal inference with direct applications to real-world rider products. The expected outcome is to build a working Rider Agent simulation prototype, establish an evaluation framework for measuring simulation fidelity and validate the framework using historical rider experiments. Responsibilities: Develop LLM-based Rider Agents that represent heterogeneous rider contexts, preferences, histories, and behaviors Build agent-based simulation environments for evaluating rider interactions with different product experiences and interventions Build evaluation pipelines to assess realism, robustness, and mechanism plausibility of simulated behavior against human data or established theory Analyze emergent behaviors and interaction dynamics in simulated populations under different user segment and marketplace conditions Conduct experiments and ablation studies on agent behavior, interaction dynamics, and simulation validity Apply the simulation framework to real Rider product problems and assess its usefulness for hypothesis generation, product iteration

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role We are seeking a knowledgeable and proactive Lead Environmental Health & Safety Engineer to provide technical leadership and hands-on execution of EHS programs across our engineering, manufacturing, prototyping, testing, and operational environments. This role will serve as a senior technical EHS resource, partnering directly with Engineering, Manufacturing, Operations, Facilities, and site leadership to identify hazards, evaluate risk, develop engineering and administrative controls, and ensure compliance with applicable environmental and occupational safety requirements. The Lead EHS Engineer will be highly engaged in day-to-day operations and is expected to spend significant time in manufacturing, laboratory, prototype, test, and other operational areas. The ideal candidate is comfortable operating in rapidly evolving environments where new equipment, processes, materials, and hazards are regularly introduced. The successful candidate will combine strong regulatory knowledge with an engineering mindset; focusing on eliminating or reducing hazards through design and practical risk controls rather than relying solely on procedures or administrative compliance. Key Responsibilities EHS Technical Leadership & Risk Management Serve as a te

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters What You'll Achieve Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments, with review and mentorship from senior teammates as you ramp up. Contribute to the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. Build tooling and automation that speed u

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters What You'll Achieve Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments, with review and mentorship from senior teammates as you ramp up. Contribute to the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. Build tooling and automation that speed u

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. Join the Growing Solutions Engineering Team! Solutions Engineers (SEs) at Okta play a pivotal role in the customer journey, helping organizations solve complex identity challenges. We engage with customers at every stage, combining our technical curiosity with business insight to drive meaningful conversations. We’re looking for team players who can create impactful sales presentations, build compelling product demonstrations, and educate a wide audience on modern cloud security solutions. If you have a strong background in technology, a mindset of continuous learning, and a passion for customer engagement, this role is for you. What You’ll be doing: Support customers throughout the sales journey (discovery, validation, proposal, due diligence), demonstrating the value of the Okta Platform through live demos and presentations. Communicate with stakeholders at all levels of the customer's organization, including CxO, security, developers, Product Managers, and IT administrators. Bridge the gap between business and technology for diverse audiences, from security engineers and developers to CISOs and CIOs. Partner with the sales team as the go-to technical counterpart, enabling customers to validate the value and potential of the Okta platform. Focus on our Okta Workforce Identity solutions, confidently addressing product features and in-depth technical inquiries from customers. Design and execute well-defined, outcome-driven Proof of Concepts (POCs). Develop

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI. We’re working with leading frontier labs to create the highest-quality, highest-diversity datasets for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution. We are seeking a highly skilled, Field Engineering Technician to manage the maintenance, calibration, and local deployment of a fleet of 600 custom wearable camera rigs. Unlike standard IT support, this role sits at the intersection of precision electronics, mechanical assembly, and field operations. You will be the primary guardian of our hardware integrity, ensuring that high-stakes egocentric data collection continues without interruption across various deployment sites. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Who You Are: Hardware Technician Lead– Wearable Devices Experience: 3 - 5 years Shift: Night Shift Location: Bangalore Role overview We are looking for a Hardware Service Technician

MongoDB seeks an experienced Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate: Has 2-5 years of professional software engineering experience Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) Has the ability to iterate fast, specially in the case where requirements are not clear Keeps up with emerging AI tooling and models, not just what's already mainstream Collaborative, detail-oriented, and passionate about developing usable software Bonus Round: Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines Experience designing systems or services used by other engineers or teams Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) Familiarity with transformer architecture and model internals Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those

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 High Bandwidth Memory (HBM) organization develops industry-leading memory solutions that power artificial intelligence, high-performance computing, graphics, and data center applications. The team brings together experts across architecture, design, verification, physical design, product engineering, and validation to deliver advanced memory products that enable the world's most demanding computing workloads. As an HBM Design Development Technical Leadership (DDTL) Intern, you will support the planning, execution, and coordination of next-generation HBM product development programs. You will work closely with technical leaders and engineering teams to track project execution, manage risks, analyze program data, and improve engineering productivity through automation, analytics, and AI-enabled workflows. This role offers exposure to both the technical and leadership aspects of semiconductor product development. Responsibilities Support HBM product execution by tracking schedules, achievements, dependencies, technical risks, and design readiness throughout the development lifecycle. Collaborate with multi-functional engineering teams to monitor project status, coordinate deliverables, and support successful achievement completion. Develop dashboards, reports, data analytics solutions, and executive summaries to provide transparency into program health and key performance indicators. Create automation tools, workflow improvements, and AI-assisted solutions that improve engineering productivity, de

Job Title: Sr. Engineer - Civil - Projects Location: Korba Chhatisgarh Purpose As an Sr. Engineer - Civil - Projects at Adani, you will play a pivotal role in driving civil engineering initiatives within our Power and Energy sector projects. Situated in Korba,, this role demands a dynamic professional who embraces Adani’s core values of integrity, innovation, and sustainability. You will work closely with multidisciplinary teams to ensure timely and high-quality execution of civil works, contributing to our vision of creating a sustainable and efficient energy infrastructure. This position offers a unique opportunity to grow professionally within a global conglomerate that nurtures talent and fosters a collaborative, inclusive work environment. Source: Adani Group | Job ID: 58758