Automation Operation System Engineer Jobs

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll automate the integration of new capacity from a growing set of hardware providers; from auditing and benchmarking hosts and clusters, to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You'll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You'll dig into whatever is between the hardware and the software that runs on

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Cyber Security team at Freddie Mac is searching for a strong data analyst to collaborate on developing and administering data security policies as well as safeguarding information, evaluating existing data security procedures and identifying new areas of risk for Freddie Mac. If this role sounds like a fit for your skill set, please read on, apply and learn why there is #MoreatFreddieMac ! Our Impact: We develop and train the enterprise on relevant Identity and Access Management best practices, develop and support automated IAM processes, and develop and implement ongoing IAM efficiency improvements with limited oversight by managers. The role will work closely with Enterprise partners and security control owners on IAM automation development activities and alignment of IAM processes with InfoSec maturity targets as described in the InfoSec Strategy. Your Impact: Senior Data Analyst who can develop and implement new and updated business process automation for all Identity and Access Management activities. Develop and proposes strategies to reduce security risk in the organization by implementing procedural prevention, detection, and response measures, while still enabling positive business outcomes. Comfortable supporting ad hoc data retrieval and analysis requests using SQL queries and Copilot/Excel . Creating audit-ready reference documentation. This role will allow for and support rapid AI-based extrapolation/replication of these services as future automated IAM microservices. Qualifications: Typically, 5 - 7 years of rel

Associate Systems Engineering Support Analyst Company: The Boeing Company Boeing Defense, Space & Security (BDS has an exciting opportunity for an Associate Systems Engineering Analyst (Level 2) for Flight Simulation Labs , located in Berkeley, MO . The Flight Simulation Labs organization has expertise supporting marketing, design, development, integration, test and training objectives for Boeing military aircraft. As a Systems Engineering Analyst, you will be responsible for researching, analyzing, and compiling technical data to optimize system performance throughout the program lifecycle. You will apply systems engineering processes, methodologies, and tools to develop and refine system architectures, functional requirements, and product designs for programs such as T-7, F-15, F-18, and MQ-25. Position Responsibilities Apply systems engineering methodologies to design, develop, and maintain systems, tools, and new product solutions Serves as system administrator for Engineering tools in the Flight Simulation Labs organization Identifies opportunities and implements data analysis and automation including dashboard and reporting for the organization Derives and develops basic architecture, functional requirements, and product designs, ensuring alignment with project objectives Collaborates with cross functional project teams including engineering, IT, cyber, networking, software, customers, and suppliers to achieve organizational goals Engages in continuous improvement initiatives for all Flight Simulation Labs processes and tools This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government re

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, we are transforming how the world uses information to enrich life. The High Bandwidth Memory (HBM) Design team develops industry-leading memory solutions that enable advances in Artificial Intelligence, high-performance computing, graphics, and data-center applications. Our engineers collaborate across global teams to deliver innovative memory architectures and semiconductor technologies that power next-generation computing systems. As an HBM Design Engineer Intern, you will work alongside experienced memory engineers and gain hands-on experience in semiconductor design, simulation, verification, and analysis. This internship provides exposure to industry-standard design methodologies, EDA tools, and cross-functional collaboration throughout the product development lifecycle. You will also have opportunities to apply AI-Assisted and AI-Enabled workflows to improve engineering productivity, debug efficiency, and design quality. Responsibilities Assist with the design, simulation, analysis, and verification of HBM memory and logic circuits using industry-standard semiconductor design tools. Support RTL development, circuit implementation, timing analysis, power analysis, and functional validation activities. Develop scripts, automation solutions, and AI-Assisted workflows to improve design productivity, debug efficiency, and design-flow quality. Collaborate with Design, Verification, Physical Design, CAD, and Product Engineering teams on technical reviews, debug activities, and project deliv

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 Lead full-chip floor planning, integration, physical implementation, signoff, and tape-out execution. Drive layout implementation of complex analog, mixed-signal, memory, and high-speed interface designs. Own DRC, LVS, ERC, EMIR, reliability, and manufacturability closure. Define and scale layout methodologies, best practices, and execution frameworks. Leverage Artificial Intelligence, Machine Learning, and Agentic AI to improve layout productivity, design quality, automation, and faster decision-making. Drive automation initiatives using AI-assisted design, verification, debugging, and knowledge management solutions. Lead cross-functional and global teams, mentor engineers, and drive technical excellence. Qualifications B. Tech /M. Tech in Electrical Engineering, Electronics, VLSI, or related field. 15&#43; years of hands-on custom layout experience. Proven success leading full-chip programs from concept through silicon tape-out. Deep expertise in: Analog & Mixed-Signal Layout Memory & High-Speed Interface Layout Full-Chip Floor planning & Integration Signal Integrity, Power Integrity, EM/IR Physical Verification & Signoff Advanced Node Technologies (FinFET/GAA) Strong proficiency with Cadence Virtuoso, Calibre, StarRC, Totem, and related EDA tools. Proven experience leveraging <

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. Our vision is to transform how the world uses information to enrich life. Join an inclusive team focused on one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solution we create help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while contributing to integrity, sustainability, and giving back to our communities. Because doing so can spark the very innovation we are pursuing. Job Description: As a CAD Applications Engineer at Micron Technology, Inc., you will be working in a collaborative, production support role evaluating, improving EDA and debugging both in-house and commercial Electronic Design Automation (EDA) tools and flows for the physical layout and design of CMOS integrated circuits. You will work closely with the Design and Layout teams to increase their productivity and work efficiency. Responsibilities and Tasks include, but not limited to: Develop place and route flows at advanced process technology nodes for DRAM designs. Implement advanced methodologies such as hierarchical flow, UPF, and process specific flow customizations to name a few Work with EDA vendors to deploy latest PnR tool or report/track tool issue to resolution. Customize EDA tools and create in house flows to improve the design team efficiency. Work closely with global design teams to support multiple aspects of PnR flow and associated methodolog

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . About the Role We're looking for a Cloud Engineer to own and evolve our Microsoft Azure environment — from core infrastructure to the data and AI platforms built on top of it. You'll drive our shift from legacy VM-based infrastructure to modern, cloud-native architecture, using Infrastructure as Code (Bicep) and automation (PowerShell) as your default tools rather than manual work. Beyond infrastructure, you'll take ownership of our

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You'll Do: Deploy, configure, and maintain Kubernetes clusters for our microservices architecture. Utilize Git and Helm for version control and deployment management. Implement and manage monitoring solutions using Prometheus and Grafana. Work on continuous integration and continuous deployment (CI/CD) pipelines. Containerize applications using Docker and manage orchestration. Manage and optimize AWS services, including but not limited to EC2, S3, RDS, and AWS CDN. Maintain and optimize MySQL databases, Airflow, and Redis instances. Write automation scripts in Bash or Python for system administration tasks. Perform Linux administration tasks and troubleshoot system issues. Utilize Ansible and Terraform for configuration management and infrastructure as code. Demonstrate knowledge of networking and load-balancing principles. Collaborate with development teams to ensure applications meet reliability and performance standards. Who you are: Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University. 2+ years of experience in a Site Reliability Engineer role or similar. Proven experience with Kubernetes, Git, Helm, Prometheus, Grafana, CI/CD, Docker, and microservices architecture. Strong knowledge of AWS services, MySQL, Airflow, Redis, AWS CDN. Proficient in scripting languages such as Bash or Python. Hands-on experience with Linux administration. Familiarity with Ansible and Terraform fo

Senior Software Engineer – PeopleSoft SCM We are looking for a Senior Software Engineer with 10+ years of hands-on experience in PeopleSoft SCM development, customization, integration, and production support. Key Responsibilities & Skills Develop, customize, and support PeopleSoft SCM applications. Strong experience with PeopleTools, PeopleCode, Application Designer, Application Engine, SQR, SQL/PLSQL . Hands-on experience with Component Interface, Integration Broker, Application Packages, REST/SOAP Web Services . Experience in production support, debugging, troubleshooting, and performance tuning . Experience with Oracle and SQL Server , including complex SQL queries. Experience with Linux/Unix environments. Knowledge of PeopleSoft PUM, patches, code migration, version control, and security . Ability to interact with end users/customers and translate business requirements into technical solutions. Strong verbal and written communication skills. Candidates without PUM experience should be willing to learn. GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions. It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively.

Job Details: Job Description: Intel's Design Quality and Reliability organization is seeking an AI Platform Engineer to architect and build an enterprise-grade AI platform for mission-critical engineering work. This platform will enable Intel engineers to analyze complex design, qualification, and reliability data; automate engineering workflows; access organizational knowledge; and make faster, evidence-based decisions throughout the product lifecycle. The successful candidate will combine strong software engineering fundamentals with expertise in AI-native and agentic development. They will be highly proficient with Agentic AI coding assistants and able to use these tools responsibly to accelerate architecture, implementation, testing, debugging, and documentation. This role requires close collaboration with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security, and other Intel stakeholders. Responsibilities 1. Architect and develop Intel's reusable AI platform for Design Quality and Reliability. 2. Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation. 3. Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation. 4. Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools. 5. Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components. 6. Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability. 7. Implement human approval, deterministic validation, and rollback controls for consequential engineering actions. 8.

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're looking for an experienced Acoustics Lab Manager to run Hark's acoustic test lab and serve as lead technician for the audio team. You will own the physical infrastructure every acoustic measurement at Hark depends on: the anechoic chamber and corresponding measurement facilities, turntable and microphone arrays, and the calibration, maintenance, and inventory systems that keep the labs organized. You will design and execute test flows spanning axial and polar measurements, power response, time-domain characterization, and make sure every measurement coming out of the lab is repeatable and defensible. This is hands-on work at the center of how Hark verifies and communicates acoustic performance. Responsibilities Own and maintain the acoustics lab: reference room, anechoic chamber, turntable, microphone arrays, preamps, and supporting instrumentation Set up and execute acoustic measurement campaigns: axial and polar response, power response, spinorama (CEA-2034-style), frequency response, distortion, and more Implement automation where necessary to enhance repeated test flows Define and maintain test procedures and SOPs so measurements are repeatable across sessions and product programs Own the full inventory of lab equipment and supp

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. 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. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design”

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable &#34;flight recorder&#34; for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as &#34;Hardware Fault,&#34; &#34;Software Bug,&#34; or &#34;Environment Issue.&#34; This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define &#34;signals of impending failure,&#34; enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6&#43; years in systems programming. Experience building automated

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, we are transforming how the world uses information to enrich life. The High Bandwidth Memory (HBM) Design team develops industry-leading memory solutions that enable advances in Artificial Intelligence, high-performance computing, graphics, and data-center applications. Our engineers collaborate across global teams to deliver innovative memory architectures and semiconductor technologies that power next-generation computing systems. As an HBM Design Engineer Intern, you will work alongside experienced memory engineers and gain hands-on experience in semiconductor design, simulation, verification, and analysis. This internship provides exposure to industry-standard design methodologies, EDA tools, and cross-functional collaboration throughout the product development lifecycle. You will also have opportunities to apply AI-Assisted and AI-Enabled workflows to improve engineering productivity, debug efficiency, and design quality. Responsibilities Assist with the design, simulation, analysis, and verification of HBM memory and logic circuits using industry-standard semiconductor design tools. Support RTL development, circuit implementation, timing analysis, power analysis, and functional validation activities. Develop scripts, automation solutions, and AI-Assisted workflows to improve design productivity, debug efficiency, and design-flow quality. Collaborate with Design, Verification, Physical Design, CAD, and Product Engineering teams on technical reviews, debug activities, and project deliv

We are seeking a highly skilled and hard-working Senior Test Developer / test engineer to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of large-scale infrastructure for various foundational NVIDIA unified cloud services and data center offerings. If you are a dedicated engineer with strong expertise in cloud infrastructure and distributed systems and want to apply your skills with AI tools, this role could fit you perfectly. You will thrive in an exciting, innovative environment. What you'll be doing: Work with development teams on test plans for all layers of SW stack for cloud infrastructure, execution, reviews, failure analysis and assessing overall quality and risk. Work with customer PMs on software issues including technical feedback from OEMs and CSPs. Develop key benchmarks to track execution and deploy process improvements to improve efficiency Leverage AI skills to expedite the test scope, test plan, execution and automation workflows. Lead NVIDIA Cloud and Data Center bring up activities which will involve validation, reporting, working with engineering to debug issues, providing design input at times, adding coverage in different areas. Design, develop and maintain CI/CD pipelines for continuous testing in cloud environments when needed. Perform performance, scalability, and reliability testing of cloud services. Implement and maintain test environments in cloud platforms such as AWS, Azure, or Google Cloud. Supervise the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability. Work with various different partner teams to ensure availability of clusters to test on and take the lead in resolve all issues. Working with tea