Production Scheduler Enhancement Engineer Jobs

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the Role We are looking for a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team and help enterprises turn AI into real ROI. In this role, you will be responsible for end-to-end development, from problem definition to driving models and solutions into production. What You'll Work On Design, develop, and deploy optimization solutions built on ML models and evaluation, to improve efficiency and quality. Work with PMs and engineers to turn product goals and customer needs into clear problems and priorities, and integrate validated methods into the product. Build reliable evaluation methods for LLM output to measure the quality and impact of solutions, and decide if the results apply to real-world conditions. Form your own hypotheses, then design A/B tests that use real traffic to validate them. Follow the latest research and industry solutions, evaluate them in our own context, and propose new approaches. Decide what to build in-house and what to adopt. Monitor solutions after launch, and proactively communicate risks, trade-offs, and progress. (Optional) Mentor junior scientists and interns, if the need arises. What We're Looking For (Minimum Qualifications) Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields At least 2 years of experience in machine lea

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . At Wealthsimple, we're interested in humans and money — and the complicated ways humans feel about money. Our goal in the creative department is to be a part of that conversation in meaningful ways that are completely innovative and new. We have a deep aversion to making things that already exist and to ads that feel like ads. We are looking for an experienced Associate Creative Director, Art Director to help us create innovative, human and ridiculously entertaining work. In this role you will often work as a team with a copywriter partner, but you’ll also collaborate with designers, writers, marketers and engineers across the org. You will be responsible for all aspects of creative development and production on integrated brand campaigns and projects large and small, and you will be leading creative voice in some of our biggest brand moments. In this role, you’ll have the opportunity to: Be a highly conceptual thinker with strong storytelling and design skills. Develop big ideas and bring them to life through every stage of production. Own large and small brand projects and campaigns from kickoff to completion, often balancing multiple projects at once. Be a maker-owner, but also a director-delegator, and find the right balance between those two roles for each project. Provide art direction on visual design for integrated brand campaigns and

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

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