Production Dx Engineer Jobs

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are seeking a Principal Software Developer to join the Elasticsearch Security team. In this role, you will lead the architecture and design of Elasticsearch's main features. These features include authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic. Your goal is to provide high-performance security at all levels. This includes ensuring that our distributed data store has top-quality security at scale. What You Will Be Doing Owning core security initiatives from architecture to production, focusing on the delivery of new critical features. Leading the technical design, plan, and execution for major security components inside the Elasticsearch core engine. Developing the foundational security models for intricate features. Optimizing security performance at scale in distributed systems environments. Applying cryptographic solutions to address genuine customer use cases. Ensuring robust data isolation within shared infrastructure supporting disparate customers. Monitoring and applying the latest advancements and best practices in security. This includes authentication, identity management, cryptography, and data access management. Collaborating with peers across the company to embed security into new customer features from the outset. Drive vulnerability management ef

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. You can learn more about our vision for AI/ML at Sigma in our blog post . That’s where you come in. As an AI/ML PhD Intern , you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. We're looking for PhD students that are passionate about the intersection of AI, business, and data. What You’ll Do Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more Prototype and productionize AI systems that feel intuitive but do a lot under the hood Tackle novel UX problems at the intersection of AI, analytics, and data apps Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models. What You Bring Current PhD student studying AI/ML at a U.S. accredited university Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization Baseline understanding of building and deploying production-grade AI/ML systems Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment. Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains You know your way around cloud infrastru

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Team: We are hiring a Senior Software Engineer, Engineering Productivity for our Engineering team at Observe by Snowflake. As part of Engineering Productivity at Observe by Snowflake, you will empower engineering teams across the organization by building scalable developer tools, robust build and test infrastructure, and automated release systems. Working at the intersection of developer experience, build systems, AI agent systems, a

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. Craft and analyze digital and analog circuits used in the development of memory products including simulating, optimizing, and floor planning DRAM circuits. Collaborate with various design and verification teams all over the world and support the efforts of groups such as Product Engineering, Test, Probe, Process Integration, Assembly, and Marketing to proactively craft HBM products that optimize all manufacturing functions and assure the best performance, power, cost, quality, reliability, time-to-market, and customer happiness. Innovate and integrate end-toend groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence). Employer will accept a Master’s degree in Electrical Engineering, Physics, Computer Engineering, Semiconductor Engineering or a related field and 10 years of experience in the job offered or in a related field. Position requires: 1. High-speed memory design on data paths, from I/O interface to core array 2. 2. Power domain network analysis 3. Memory test architectures like MBIST and production silicon validation 4. Digital design methodologies experience including RTL design, synthesis, and physical implementation 5. ASIC design development using digital design 6. Memory core timing, latency control, and signal integrity consideration in advanced designs <p style="

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. Support, develop, and maintain software solutions for Technology Development (TD) and future HVM facilities. Work on critical manufacturing software, databases, and data-analysis systems, collaborating with cross-functional teams to ensure high-quality support, delivery, and uptime. Drive efficiency and change by applying worldwide BKMs, build strong relationships with customers, developers, and infrastructure teams across sites, and deliver a high-quality customer experience. Minimize IT impact and reduce support levels. Resolve critical IT downtime issues through repairs or workarounds. Monitor and respond promptly to line and IT system performance. Contribute to AI systems and workflows to improve team effectiveness. Develop permanent software solutions for critical business needs. Design and build support, maintenance, and metric-gathering utilities. Collect, analyze, and present data, including efficiency improvements and root-cause analysis. Recommend solutions to improve production, engineering, and process efficiencies. Learn new tools to maintain and troubleshoot existing software. Create and manage training documentation for 1st- and 2nd-level IT support. Create and maintain KPIs and ITSI monitoring solutions. Employer will accept a Bachelor’s degree in Computer Science, Software Engineering, or related field and 3 years of experience in the job offered or related occupation. Position requires: 1. C# 2. Perl 3. Bash 4. Visual Basic (.NET) 5. SQL 6. XML 7. Linux 8. Unix 9. Pyt

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. As a Compress-Work-Week Shift Operation Technician, you are responsible for the safe and proper operation of plant utilities equipment and systems in compliance with specifications, supporting organizational objectives and company goals. Your responsibilities include, but are not limited to, operating and monitoring plant utilities and facilities systems through the FMCS (Facilities Monitoring and Control System) in the control room, coordinating with relevant parties on FAB-related activities, performing pump/fan rotations for routine plant PM/CM activities, and serving as an ERT member to ensure minimal impact on FAB operations. Responsibilities and Tasks Ensure the safe and proper operation of facilities equipment and systems. Monitor facilities equipment and systems through FMCS or equivalent control systems. Respond promptly to out-of-specification or abnormal condition affecting production or the site in general. Escalate out-of-specification or abnormal conditions to relevant parties in a timely manner. Restore facilities services quickly to minimize interruptions to production or the site. Response to facilities service requests. Support and implement

We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running continuously at scale on shared accelerated compute. They take on real work across enterprise systems, so people get far more done than they could before. This role defines the constructs that agents are built from: the blueprints they start from, the tools, skills, and plugins that power them against enterprise data, the runtime safety harness that keeps them in bounds, and the connections into credential management, sandbox, memory, and observability. The team designs and ships these building blocks so that agent developers across the company can stand up a new agent, wire it in, and run it for days or weeks. Security and safe execution come out of the box, not something each team has to get right on its own. Today an agent runs inside a single harness. Claude, Codex, and open-source agent harnesses each work differently underneath, with their own execution model, tool interface, and telemetry shape. The platform smooths over those differences, so a single skill, safety policy, or trace works the same no matter which harness is running. We want to enable agents that act on a person's behalf, governed and secure, continuously evaluated and self-improving. These agents coordinate and hand work off to each other, with identity and policy following every hop. They route and tune themselves across harnesses from live eval signals, and get better from their own production telemetry instead of waiting on a human to retrain them. Have you run agents on a harness like Claude or Codex and hit the walls that show up when they run for real, for days, against live systems — and wanted them to learn from it on their own? We're building the platform that solves those problems once, for every team. What you'll b

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 undergoing a historic expansion with our new fabrication facility in Boise, ID. As a leader in the semiconductor industry, we build solutions that inspire and transform technology. With plans to invest more than $150 billion globally over the next decade in leading-edge manufacturing, we are looking for passionate people to join our Boise expansion team and contribute to the growth and innovation of the semiconductor industry and AI. We’re building a next-generation manufacturing capability in Boise (ID1), partnering closely with global teams to bring advanced DRAM technology into a greenfield fab. This is a highly collaborative environment where we solve complex integration challenges and directly impact yield, cost, and product quality. If you enjoy working at the intersection of device physics and manufacturing, you’ll find strong ownership and technical depth here. As a Senior Process Integration Engineer in our Advanced Technology and Engineering group, you will play a key role in transferring and scaling advanced DRAM nodes into high-volume production. You’ll lead integration efforts across modules, drive yield ramp, and resolve complex process interactions. This role is critical to achieving production readiness and sustaining best-in-class performance as we launch a state-of-the-art fabrication facility. Responsibilities: Lead module ownership including root cause analysis and fast-paced failure investigation Drive yield, cost, and quality improvements using data-driven met

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’s Boise High-Volume Manufacturing (HVM) fab is at the leading edge of DRAM technology, driving sophisticated semiconductor innovation through EUV lithography. We operate in a fast-paced, data-driven manufacturing environment focused on achieving extraordinary yield, process capability, and operational excellence while maintaining strict safety and contamination-control standards. For this great opportunity as an EUV Photolithography Engineer, you will lead the development, optimization, and sustainment of EUV processes and scanner performance critical to advanced DRAM nodes. You will be responsible for ensuring process stability, improving yield and throughput, and driving continuous improvement through data analysis, multi-functional teamwork, and sophisticated process control techniques in a high-volume manufacturing environment. Responsibilities Own EUV lithography processes and scanner fleets, ensuring stable high-volume manufacturing performance through SPC monitoring, overlay/CD optimization, defectivity reduction, and tool matching. Lead rapid response to process excursions, including containment, root-cause analysis, wafer disposition, and implementation of corrective and preventive actions (CAPA). Collaborate with Operations, Equipment Engineering, Integration, and Metrology teams to align on production priorities, resolve risks, and optimize cycle time, capacity, and output. Drive continuous improvement of process capability, yield, and equipment productivity using sophist

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. You can learn more about our vision for AI/ML at Sigma in our blog post . That’s where you come in. As an AI/ML PhD Intern , you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. We're looking for PhD students that are passionate about the intersection of AI, business, and data. What You’ll Do Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more Prototype and productionize AI systems that feel intuitive but do a lot under the hood Tackle novel UX problems at the intersection of AI, analytics, and data apps Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models. What You Bring Current PhD student studying AI/ML at a U.S. accredited university Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization Baseline understanding of building and deploying production-grade AI/ML systems Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment. Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains You know your way around cloud infrastru

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox’s Service Networking team connects and secures the services behind our platform across our data centers and cloud infrastructure. As a Principal Software Engineer on Service Networking, you will set technical direction and lead hands-on development of the systems that make service-to-service communication reliable, secure, and efficient. You will guide the evolution of our Envoy- and Istio-based platform as services move across Kubernetes, Nomad, and cloud environments. You will partner with Compute, Security, and application teams, and help senior engineers lead complex technical work. You will: Set the technical strategy and roadmap for service mesh, balancing reliability, security, performance, and operating cost. Design and build control-plane and data-plane capabilities for service discovery, routing, load balancing, and traffic policy using Envoy, Istio, and related technologies. Lead integration and migration across Kubernetes, Nomad, and cloud environments, with clear compatibility requirements and safe rollout plans. Partner with Security and application teams to deliver workload identity, mutual TLS, and traffic policy enforcement in production. Improve resource efficiency

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The AI Platform team delivers essential tools and infrastructure utilized by hundreds of AI and ML engineers across Pinterest, powering crucial functions such as recommendations, ads, visual search, growth/notifications, and trust and safety. Our primary objectives are to ensure AI and ML systems maintain production-grade quality and enable rapid iteration for our customers. As a Senior Staff Software Engineer on the AI Platform team, you will shape and scale Pinterest’s AI/ML evaluation platform into a unified, reliable system adopted company-wide. You will identify modernization opportunities, elevate the roadmap, and execute technical strategy of a durable evaluation system for GenAI and ML workloads at Pinterest, partnering across engineering, research, product, and safety to improve quality, launch decisions, and trust in AI-powered experie

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Team Snowflake engineering takes pride in building highly reliable and scalable products.In the era of autonomous AI agents and continuous deployment, a traditional testing model breaks down under massive PR volume. Our AI pilled engineers treat validation as a scalable, developer-first platform. The Release Validation Team builds test frameworks that make continuous deployment safe, cost-efficient, and agent-friendly. Our customers are Snowflake engineers and their army of agents. How do Snowflake engineers keep their agents running autonomous for hours and days, landing quality PRs with human interventions? They rely on layers of validation that agents can execute in high-fidelity production simulation. We give Snowflake the confidence to ship at speed without compromising Snowflake’s core brand promise: extreme reliability. In this role, you will: Lead and grow the team . Hire, mentor, and develop engineers working on test infrastructure, automation, and developer tooling. Build a culture of ownership, technical excellence, and focus on the customer. Set strategy and roadmap . Define and drive the multi-quarter vision for release validation: faster signals, fewer blockers, better test quality, and lower cost. Own the validation platform . Be accountable for the

The Anomaly Detection team’s mission is to build scalable, cost effective systems that can automatically detect anomalies in our customers’ system telemetry. The ultimate goal is to be able to intelligently find problems in system telemetry proactively without the need for our customers to set up or configure specific alarms or alerts. This is a chance to work on a team that sits at the intersection of distributed systems and machine learning and applying those techniques at massive scale to serve a real world customer need. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead and develop an existing engineering team of 8; building trust, setting technical direction, and establishing a high bar for ownership and execution Own the roadmap and execution for our key signal finding systems Work closely with product management and applied scientists to build an effective detection system and the right evaluation mechanisms to ensure the quality of our signals Build and operate both traditional machine learning and LLM based systems in production at scale Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time Who You Are: Experienced engineering manager with a track record of shipping robust and scalable distributed systems with AI and/or ML components. Distributed systems experience is a must-have Experience with Java, Python or Go, and experience working in a platform-focused team Strong cross-team collaboration and stakeholder management skills Comfortable making significant contributions to product strategy in an ambiguous environment rather than executing a pre-defined roadmap Direct experience building and training M

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. About the role We are looking for a Staff Software Engineer to help shape and build the next generation of our network automation platforms. Our challenge is one of scale, complexity and criticality. We operate a massive global network supporting PlayStation Network, spanning more than 40 interconnection locations and 20+ data centres worldwide. Operating infrastructure at this scale safely and efficiently requires us to move beyond specialist-driven workflows and individual automation tools toward reliable, declarative software platforms. You will help make that transition. You will work on software that turns complex network and infrastructure operations into reliable, API-driven and increasingly self-service capabilities. This includes building control-plane services, declarative APIs and intent-based controllers that manage production infrastructure safely and consistently across our global footprint. This is a Staff-level engineering role with significant technical influence. You will combine hands-on engineering with setting technical direction: defining architectures, solving complex cross-system and distributed-systems problems, writing designs, driving alignment with senior engineers and architects, and mentoring engineers acro