Sr Automation Engineer 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. Senior AI Engineer – SMAI, Micron Technology, Inc. As a Senior AI Engineer within Micron's Smart Manufacturing & AI (SMAI) organization, you will design, develop, and deploy AI-enabled enterprise solutions that drive manufacturing efficiency, quality, productivity, and digital transformation. You will leverage technologies such as Generative AI, .NET, Angular, JavaScript, SQL, Azure Cloud, and DevOps to build scalable, secure, and high-impact business applications. Key Responsibilities Design and develop AI-powered, cloud-enabled, and full-stack enterprise applications. Integrate Generative AI, machine learning, and intelligent automation capabilities into business solutions. Build modern, intuitive, and responsive user interfaces using Angular, JavaScript, HTML5, and CSS. Develop secure and scalable backend services, APIs, and microservices using .NET technologies. Collaborate with business stakeholders to identify opportunities for automation and process improvement. Contribute to enterprise architecture, application modernization, and technology roadmap initiatives. Implement DevOps best practices including CI/CD, automated testing, monitoring, and deployment automation. Analyze application performance, usage metrics, and system health to improve scalability and reliability. Partner

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. Broad Knowledge and Experience In Business process transformation, operational excellence, and digital enablement initiatives across enterprise functions. Master Data Management (MDM), Data Governance, Data Quality, and business process standardization. Requirements gathering, process analysis, process mapping, and future-state design. Data modeling concepts, data lifecycle management, and integration of business processes across systems. Automation opportunities using low-code/no-code platforms, workflow orchestration, AI, and analytics solutions. Agile delivery methodologies, product-centric delivery models, and continuous improvement frameworks. Defining transformation requirements and designing scalable business processes that enable data-driven decision making. Working with business stakeholders, data stewards, and technical teams to improve data quality, streamline operations, and drive adoption of new capabilities. Identifying opportunities to optimize processes, reduce manual effort, improve controls, and enhance user experience. Identifying and implementing AI-assisted solutions for process optimization, workflow automation, data stewardship, knowledge management, and governance activities. Evaluating emerging AI technologies and incorporating AI-enabled capabilities into enterprise transformation roadmaps. Assess, pilot, and scale AI-driven solutions that deliver measurable business value while adhering to g

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Sr. AI Engineer: Systems, you’ll serve as an embedded senior back-end engineer on our Speech Team, owning the production systems that turn speech models and third-party capabilities into reliable, scalable experiences for Dialpad’s AI voice agents. You’ll work at the intersection of speech, ML infrastructure, and

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. Unique Opportunities Complete ownership of verification and end to end analysis of sophisticated full chip gate level custom designs with advanced low power and power management technologies spread across multiple categories such as DDR4,LPDDR4,DDR5 and LPDDR5 that can operate at high speeds of up to 6400MT/s. Collaborate closely with design and verification team members spread across the globe, many of whom have decades of experience in memory design. Work on multi-functional tasks that can widen your skills. Responsibilities: • Actively leverage AI‑based tools, agentic workflows, and automation frameworks to: Accelerate verification cycle time Assist in Test-Case/TB and various other components required for DRAM Design Verification Improve debug efficiency across simulation and silicon learning loops • Strong judgment to validate AI outputs before use (review assumptions, align with specs/standards, cross-check with simulations, waveforms, assertions, and coverage reports, and document what was accepted/changed) prior to incorporating results into design decisions, verification plans, or debug conclusions • Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon block level/full chip designs. Deve

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. Understand the LPDRAM state machine and develop the hardware models for DRAM features and the related validation test bench. Develop memory controller models, including request scheduling and address mapping to enable new DRAM features. Develop the automation test scripts using Python to improve the overall simulation methodologies. Develop new DRAM technology changes per the spec and the state machine and the validation test bench. Develop system engineering, software engineering, system integration, or distributed system architectures. Identify system data, hardware, or software components required to meet user needs. Communicate with staff or clients to understand specific system requirements. Research, test, or verify proper functioning of software patches and fixes. Provide advice on project costs, design concepts, or design changes. Communicate project information through presentations, technical reports, or white papers. Design and conduct hardware or software tests. Establish functional or system standards to address operational requirements, quality requirements, and design constraints. Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements. Employer will accept a Master's degree in Electronics Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related field. Position requires: 1. C/C++ or Python; 2. Debugging interfaces, including GDB and PDB; 3. LPDRAM technology; 4. Computer Architecture; 5. Memory controller

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Sr. Software Engineer on the Salesforce Integration team, you will primarily contribute to the development of Dialpad’s native Salesforce integration, along with other critical apps. These integrations enable real-time automations and data transfers between Dialpad and key complementary systems, ensuring our mutua

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects.

GAQ127R41 Location: San Francisco, CA (Hybrid) About the Role At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure) , you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions , managing both GitHub-hosted and self-hosted runners for specialized build requirements. Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business

P-1602 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data

Opportunity Overview: Cohere Health is at the forefront of leveraging artificial intelligence (AI) to transform prior authorization, shifting from transaction-based processes to creating elevated care journeys. By integrating AI into healthcare decisioning, we aim to improve efficiency, reduce costs, and ultimately enhance patient care. This is a unique opportunity to join our rapidly growing Clinical Intelligence team, where you’ll work on building impactful healthcare technologies that streamline and optimize the prior authorization process using AI/ML and Advanced Rules Engines. What you’ll do: Contribute to the functional & technical roadmap for the team, working alongside cross-functional teams to deliver high-impact deterministic rules-based and AI-driven healthcare automation solutions. Actively support the technical design process, bringing your expertise and analysis to help make data-driven decisions Continuously discover, understand, and implement new technologies & services to maximize development efficiency Contribute heavily to feature design, development, testing, and delivery of our cloud platform and web applications Support all parts of our platform from the database to the frontend Drive daily engineering release once 2-4 times a month Perform production support duties 1-2 times a year. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. What we looking for: You have experience working on software development teams, building and deploying full stack web applications You are passionate about building quality products and want to own product development end-to-end, with excellent design and development stan

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges. What we look for: 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language 4+ years of experience developing large-scale distributed systems from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Extensive experience working on large-scale compute clusters, network connectivity, and automation. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges. What we look for: 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language 4+ years of experience developing large-scale distributed systems from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Extensive experience working on large-scale compute clusters, network connectivity, and automation. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The impact you'll have: Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as: Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers. Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services. Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization. What we look for: BS (or higher) in Computer Science, or a related field 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language. Experience developing large-scale distributed systems from scratch Experience working

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. department Introduction The Non-Volatile NAND Design Engineering group is responsible for the design and optimization of analog, digital and mixed-signal circuits enabling advanced NAND Flash memory products. Close collaboration with cross-functional teams ensures scalable, manufacturable, and reliable solutions across technology nodes. Position Overview As a Design Engineer in the NVE Design Engineering Core group at Micron Semiconductor Italia, you will contribute to the development of memory products that are best-in-class, using your specialized knowledge and Micron proprietary methods of designing and analyzing core and mixed circuits used in the development of memory products. Responsibilities Responsibilities include, but not limited to: • Design, simulate, and optimize NAND core circuit blocks, balancing performance, power, area, and reliability trade-offs. • Translate product and system requirements into circuit implementations, evaluating feasibility and functionality across use cases. • Perform comprehensive circuit verification (DC, AC, transient, noise, Monte Carlo, PVT corners) at block and chip level. • Collaborate with multi-functional teams to improve power efficiency, manufacturability, and overall product performance. • Develop and leverage automation solutions (e.g., Python-based workflows, AI-assisted tools) and maintain user documentation. AI Enablement and Productivity The candidate is expected to leverage AI-powered tools and data-driven methodologies to improve engineering prod

Who We Are: At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day. Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible. We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table. We're experts who speak like humans. Ready to build what's next? #JoinTheBand What We Are Looking For: The Sr. IP Network Engineer designs, operates, and continuously improves Bandwidth's global IP network infrastructure. This role owns critical functions across datacenter fabric, WAN routing, and firewall security — and drives the automation initiatives that keep the network reliable at scale. The ideal candidate brings deep hands-on expertise in VxLAN/EVPN datacenter architectures and Palo Alto firewall platforms, combined with a strong foundation in service provider routing protocols. What You'll Do: Design and operate VxLAN/EVPN-based datacenter fabrics across multiple Points of Presence (PoPs), including leaf-spine topology, BGP EVPN control plane, and overlay/underlay integration. Manage and maintain Palo Alto firewall infrastructure, including zone-based policy design, Panorama administration, threat prevention, and security rule lifecycle management. Architect and maintain BGP-based WAN routing across Bandwidth's backbone network, including iBGP/eBGP policy, route manipulation, and prefix management. Troubleshoot complex, multi-layer network issues spanning switching, routing, and security infrastructure. Develop and maintain network automation tooling — including device provisioning, configuration management, and event-driv