Automation Operation System Engineer Jobs

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group! What you'll be doing: Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation Research and implement techniques on frontier solutions of electronic design automation. Build and innovate agentic AI solution for VLSI design problem. Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR. What we need to see: MS (or equivalent experience) with 3+ years’ experience or PhD with 1+ years’ experience in Electrical/Computer Engineering degree Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA Experience in Algorithms/Data Structures/

Work Flexibility: Hybrid What you will do: Key Job Responsibilities · Develop and maintain automated test frameworks and test scripts. · Perform Functional, API, Integration, System, and Regression Testing. · Integrate automated tests into CI/CD pipelines. · Collaborate with Development, DevOps, and Product teams. · Analyze test failures, debug issues, and improve automation coverage. What You need: Experience · 4-6 years in Software Testing and Test Automation Educational Qualification · B.E./B.Tech/M.Tec in Computer Science, Information Technology, · Graduated from a reputed engineering institute such as VIT, NIT, IIIT, BITS Pilani, DTU, NSUT, Manipal, SRM, PSG, or an equivalent institution. Key Job Responsibilities · Develop and maintain automated test frameworks and test scripts. · Perform Functional, API, Integration, System, and Regression Testing.Integrate automated tests into CI/CD pipelines. · Collaborate with Development, DevOps, and Product teams.Analyze test failures, debug issues, and improve automation coverage. Required Technical Skills Programming Languages · Java, Python, C#, TypeScript Test Automation · Playwright, Selenium WebDriver, Appium, Postman, Cu

Build the infrastructure that keeps every NVIDIA chip aligned from first spec to final shipment. NVIDIA's Silicon Co-Design Group sits at the convergence of architecture, silicon, systems, and manufacturing. The System–Manufacturing Architecture (SMAC) team coordinates between system specifications and manufacturing test specifications from pre-silicon POR through production release across GPU, SoC, and CPU programs. When that alignment drifts, silicon faces the consequences: escapes, yield loss, and performance loss. We're hiring a Senior Manufacturing & System Co-Design Workflow Engineer to lead the methodology and infrastructure that maintains holistic, systematic alignment, at scale across the full portfolio. The strongest candidates in this role design the workflow before being asked to fix a program, and build the checks and automation that confirm alignment holds long after they've moved on to the next problem. What you’ll be doing: SMAC Workflow Methodology: Define manufacturing spec types, including schema and semantics, derived from system PORs and features. Own the methodology that governs how specification work gets structured, versioned, and validated across the program lifecycle. Production Python Pipelines & Automated Checks: Develop production-grade Python pipelines and automated checks that catch specification drift between system POR and manufacturing test programs ,ATE, SLT, BLT, L10+, before silicon exposes the discrepancy. The goal is that misalignments surface in the workflow, not on the tester. E2E Program Integration & TPM Attestation: Wire SMAC work into the end-to-end program spine, milestones, gates, and artifacts, and define explicit TPM-driven attestation when checks lag. Alignment can't be assumed; it must be proven at every stage. Agent-Ready Tooling & CI Infrastructure: Integrate tooling into an agent-ready

Are you ready to contribute to world-class innovation and push the boundaries of what's possible? At NVIDIA, you'll have the opportunity to be part of a team that is driving groundbreaking impacts across various markets. As a Thermal Solutions Development Engineer, you will play a pivotal role in our Silicon Codesign Group, transforming thermal solution concepts into lab-ready builds and beyond. What you will be doing: Build thermal solutions for engineering characterization and validation of next-gen GPU/SOC products, ensuring flawless delivery from concept to lab. Drive end-to-end development and deployment of thermal solutions, collaborating with internal teams and external vendors on build requirements, prototype evaluation, test system integration, and software automation. Improve thermal design processes by incorporating feedback and findings, developing workflow and maintaining our world-class standards. Work closely with system architects, chip and board designers, and software/firmware engineers in a dynamic and high-energy environment to bring industry-defining products to market. Apply AI-enabled approaches and AI tools to accelerate design iteration, test planning, and characterization/validation triage (e.g., requirements/spec summarization, experiment prioritization, log/telemetry summarization, anomaly/outlier detection), improving cycle time, coverage, and traceability while validating outputs against physics, specs, and lab measurements. Partner with AI/tooling teams as the thermal domain SME to define use-cases, success criteria, and evaluation methods; provide feedback to improve tool reliability and usability. What we need to see:

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. Responsible for understanding the processes used to assess and mitigate risks related to the introduction of new package technologies so that you can improve efficiency and effectiveness by implementing automation, data analysis and machine learning/AI solutions. Set up data bases, develop data ingestion pipelines, and implement automated data analysis and reporting tools. Support problem solving and risk assessment for internal or customer quality issue by pulling and analyzing data. Contribute to the advancement of technology at Micron through mentoring, publishing technical papers (internal and external), and developing innovative solutions to challenging problems. Implement Automation, Data Analysis, and AI Solutions. Collaborate with Engineering teams to Map Package DDQA processes and data streams. Set up and optimize databases and develop solutions to improve efficiency and effectiveness. Understand the needs of internal customers and develop solutions. Support Problem Solving and Risk Assessment for Quality Issues. Pull relevant product information, manufacturing data, and reliability data based on given problem statements. Determine the appropriate dataset and treatment required to answer questions posed by problem solving teams. This could include producing data visualizations, machine learning models, statistical inferences, and web applications. Provide recommendations about root cause findings and product risk, based on data analysis. Collaboratively Communicate Findings and Best Practices. Share best practices with global teams to enable a cultur

The Lead - Strategy & Planning at APSEZ is a high-impact, transformational role designed to translate executive leadership vision into disciplined, data-driven execution In alignment with APSEZ’s ambitious goal of tripling its international business by FY2030 and becoming the world's largest ports and logistics platform, this role focuses heavily on cross-functional alignment, market intelligence, capital allocation, and predictive automation Source: Adani Group | Job ID: 58535

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Due to rapid growth and increased demand for our Privacy, Security, Data Governance, GRC, Third-Party Risk, Ethics and Compliance, and ESG platform, OneTrust is seeking a Senior UX Designer to join the User Experience Design team within our dynamic Research and Development team. This team continually improves the usability, design, and overall experience of OneTrust offerings, including web applications and other products and services. It is an excellent opportunity to improve the experience of an exceptionally wide range of users around the world. Your Mission The Senior UX Designer will work under the oversight of a Principal UX Designer and assist with all the UX responsibilities below: Design: Create deliverables for the entire design process, including information architecture, interface design, interaction design, and low and high-fidelity prototypes. Standards: Identify, define and promote UX best practices, including templates UX Metrics: Identify, collect, and analyze data to inform user experience decisions, including web metrics, customer sup

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior AI Engineer , you'll join a team focused on data integrations (shippers and carriers moving in and out of the FourKites ecosystem) and our active AI agent workstreams — including a support automation agent handling 60-70% of customer tickets, a voice agent that calls carriers to gather and update information, and an end-to-end carrier onboarding agent (email + voice). You'll work on features end to end (~75-80% backend, ~20-25% frontend) using Python, Java/GoLang, agentic frameworks like LangGraph, React, Redis and PostgreSQL. You'll develop products that change the logistics landscape for some of the biggest corporations in the world, and work closely with our US team and customers to shape the future of the industry. What you’ll be doing: Design, build, and productionize AI agents/workflows (e.g., support automation, voice, and onboarding agents) using agentic frameworks such as LangGraph Develop, test, and maintain backend applications in Python and Java or GoLang Write clean, efficient, and well-documented code across the full SDLC — development, QA, and release Design and implement data models and database schemas Collaborate with the frontend team to integrate the backend with the user interface Perform code reviews and ensure code quality standards are met Troubleshoot and debug applications, including AI agent workflows in production Work with the DevOps team to deploy and manage applications in production (Kubernetes) Continuously learn and stay up to date with new technologies and industry trends, particularly in the AI/agentic space About the team: Our product

🎯 About the role Quinyx is a leading workforce management platform, and growth is core to how we scale. We're looking for a Growth Director to own the commercial engine of our marketing function: the channels, systems, and data that turn attention into pipeline. This is a leadership role on the marketing leadership team, reporting to the CMO. You'll be judged first and foremost on the pipeline and revenue growth marketing delivers, in tight partnership with Sales and regional marketing leadership – not on activity or MQL volume. You'll lead performance marketing, demand generation, marketing automation, and our buyer-facing digital experience, while keeping oversight of the martech stack and the data foundations that make our commercial reporting trustworthy. You'll act as a peer to Sales leadership: co-owning lead-to-pipeline conversion targets, sitting in the same forecasting conversations, and making fast calls on where budget, channels, and team time should go to hit the number. 📝 What you'll do Own the lead-to-pipeline conversion number – set targets jointly with Sales and regional marketing leadership, drive demand generation campaigns across markets, and reprioritize fast when the numbers call for it Own paid media, SEO, SEM, retargeting, AI discoverability, and conversion rate optimization, with spend and channel mix continually optimized against pipeline and CAC Own marketing automation and the lead lifecycle – lead scoring, nurture programmes, and routing – working closely with Sales to keep handoff fast, clean, and accountable Partner with RevOps and Sales on data and attribution, keeping Salesforce and HubSpot clean and synced so pipeline reporting is trusted by both functions Drive the strategic direction of quinyx.com , continuously improving conversion at every stage of the buyer's journey Lead, coach, and develop a small, high-performing growth team Represent growth and commercial marketing at the leadership table, with a clear point of view on whe

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 Design Technology Co-Optimization (DTCO) team works at the intersection of process technology, standard cell architecture, and design implementation to optimize power, performance, and area (PPA) for advanced memory products. The team collaborates closely with standard cell library, RTL, and physical design engineers to evaluate design tradeoffs and develop methodologies that improve silicon outcomes. As a DTCO Intern, you will gain hands-on experience assessing and optimizing PPA at the standard cell and logic block level. You will use industry-standard place-and-route tools and AI-enabled automation techniques to implement, benchmark, and optimize logic blocks while developing practical skills in physical design, timing closure, and design analysis. Responsibilities Implement standard cell logic blocks using industry-standard physical design tools, including floorplanning, placement, clock tree synthesis (CTS), routing, and optimization activities focused on PPA assessment. Analyze and benchmark power, performance, and area across standard cell libraries and logic block configurations, identifying opportunities for improvement. Perform static timing analysis (STA), investigate setup and hold timing violations, and support timing closure activities. Execute physical verification checks, including DRC, LVS, and IR-drop analysis, and assist with resolving design issues. Leverage Generative AI, AI Assistants, and Agentic AI solutions to automate data collection, reporting, comparison, and w

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. We are the Firmware & Product Test (FPT) team, responsible for validating the firmware that powers Micron's enterprise SSD portfolio. Our team develops scalable validation solutions, advances automation, and applies emerging technologies to improve product quality and reliability. If you enjoy solving complex technical challenges and influencing how enterprise storage products are tested, you'll find exciting opportunities here! As a Staff Engineer, you will lead validation strategy for enterprise SSD firmware and help shape the future of test infrastructure and methodology. You will drive verification of critical NVMe features, champion AI-enabled validation approaches, and provide technical leadership across product lines. This is a highly visible role with opportunities to influence product quality, mentor engineers, and improve engineering efficiency through automation and data-driven insights. Responsibilities Lead validation strategy and execution for NVMe front-end features across enterprise SSD products Architect and enhance scalable test frameworks to improve automation, coverage, and firmware quality Drive root-cause analysis of complex failures and establish effective debug methodologies and standard processes Define and advance validation infrastructure, including automation, CI/CD integration, regression systems, and reporting tools Mentor engineers and collaborate with multi-functional teams to improve testability,

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, 1 North Coast Drive, Singapore 757432 Department Non-Volatile Memory Test Engineering Project Title AI-Driven Test Engineering Automation and Analytics for NAND Products Project Description As an Intern Test Solutions Engineer in Non-Volatile Memory Test Engineering, you will work on advanced semiconductor test engineering projects focused on NAND memory product development, manufacturing test optimization, and Artificial Intelligence-enabled engineering automation. The project provides hands-on exposure to wafer probe, burn-in, and assembly test solutions used in high-volume semiconductor manufacturing environments. You will collaborate with experienced test engineers and cross-functional teams to develop analytical and automation solutions that improve test quality, engineering productivity, cost efficiency, and decision-making. Through this project, you will apply data analytics, machine learning, scripting, and software development techniques to real engineering challenges while developing practical knowledge of semiconductor memory testing. Objective of the Project Develop data analytics and Artificial Intelligence-enabled solutions for NAND test engineer

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. Responsibilities You will involve in the application lifecycle management for software systems in a highly automated semiconductor manufacturing environment Develop a keen understanding of IT and Manufacturing Automation trends and apply the knowledge to participate in technical and business analysis sessions to understand requirements. Collaborate with global IT team from divest backgrounds and experiences to convert those requirements into effective and efficient technical solutions. Serve as IT technical authority within Micron, provide advice and recommendations to senior management on improvements from processes, procedures and software system development. Ensure Secure Software Development Lifecycle standard, requiring adherence to security best practices during development, deployment and maintenance; includes risk assessment, secure coding standard and guidelines, and compliance with internal governance framework. Ensure a good quality software releases with detail software acceptance testing, verification and end-users training. Keep applications software and hardware systems to the most current production releases version by applying update and patches as required. Develop capabilities to prevent unscheduled downtime wi

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 Engineer, Customer Validation supports the development and maintenance of automated validation infrastructure used to assess Enterprise SSD interoperability, functionality, and reliability across customer-relevant storage environments. This role contributes to cross-platform test automation, characterization of test environments, and validation of SSD products across different platforms and OSes. Success in this role requires structured problem-solving, and collaboration with cross-functional teams to improve validation coverage, product quality, and release readiness. Main Responsibilities Develop, integrate, and maintain interfaces for new test equipment, validation tools, and automation frameworks. Define, plan, and execute automated test strategies that improve coverage, scalability, and validation efficiency. Collaborate with firmware, hardware, test, and product teams to develop robust validation solutions aligned with product features and customer requirements. Troubleshoot SSD, software, and platform integration issues by reproducing failures, identifying root causes, and driving corrective actions. Evaluate and enhance validation methodologies to improve defect detection and shift fai

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. ## Key responsibilities - Design, build, and deploy AI agents and automation for CDR Sub-Towers and other AI Security initiatives - Follow direction set by Program Manager and Program Lead - Participate in peer review of other embed engineers' designs and receive review on your own - Coordinate with sub-tower leaders on their roadmap priorities - Contribute learnings, patterns, and reusable components back to the CDR AI Security team - Follow threat modeling and secure development practices set by the AI Security Program Lead --- ## Required qualifications - 5+ years of software engineering experience - Working knowledge of AI/ML product development — familiarity with LLMs, agents, RAG, or automation frameworks - Solid engineering fundamentals — auth, data handling, error handling, secure coding - Willingness to work closely with various CDR sub-towers — daily partnership, not remote arm's-length delivery - Comfort with peer review culture and shared standards - Domain-relevant curiosity — you'll be building for cybersecurity workflows, so willingness to learn CDR's sub-tower's domain deeply matters --- ## What success looks like in year 1 - You've deployed multiple production AI Security capabilities used by various sub-towers - You've contributed patterns, tools, or learnings back to the CDR AI Se