Production Line Management Engineer Jobs

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Priten Nayak, the VP of Cloud Operations at Perforce, is searching for a Senior DevOps Engineer III, India to design and build the next-generation cloud platform for Perforce’s SaaS product portfolio to ensure the security, reliability, and high availability of all our production & CI/CD environments and applications. In this vital role, you will drive the design, development, & Implementation of automated tools and technologies to enable efficient delivery and service management of the production services & release deliveries. Drive the adoption of AI-assisted cloudops practices and agentic automation to improve operational efficiency, security, incident response, and platform reliability across the software delivery lifecycle.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe’s Professional Services team works with our most strategic users, delivering excellence and enabling our users to succeed with Stripe. The new Forward Deployed Engineering team takes the evolution of our consulting services behind the keyboard by directly building and delivering software for our users. As a brand new offering from Stripe, we work directly with Stripe's users to build scalable Stripe integrations and standalone applications. What you’ll do In this role, you will work closely with Stripe’s Product & Engineering team to help shape the features that extend beyond what’s possible out of the box with Stripe integrations. You may be building standalone applications that are deployed in user environments, developing priority features within Stripe's ecosystem, or augmenting existing development staff for our users to deliver faster and more resilient connections to Stripe. While maintenance is part of the work, you'll often be starting new and exciting projects. Since this is a new team at Stripe, you'll succeed if you get excited about driving direction and taking ownership of your work. Responsibilities Design and architect robust technical solutions, ensuring they are secure, scalable, and aligned with customer needs Design, build, and deploy production applications that combine user business logic, Stripe best practices, and user-facing interfaces Collaborate directly with internal and external stakeholders, bridging

Req ID - FEQ427R59 Location: London The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and dem

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior ML Engineer, you'll play a central role in building the data science behind the products — from framing new fraud, risk, and intelligence problems, to designing and deploying ML models at scale, to helping our enterprise customers and go-to-market teams understand and act on the insights we generate. What you’ll do: Design, build, and continuously improve the ML models that power our risk and intelligence products, and take ownership of new signals as they get scoped. Take a loosely defined business or customer problem and break it into a clear data problem, articulating value, impact, and complexity before proposing a solution. Build anomaly detection, fraud, and risk-modeling approaches — including network/graph-based methods — that keep our signals accurate and resistant to adversarial behaviour. Own model development, deployment, and monitoring end-to-end, partnering with ML/data engineers on scalability, reliability, cost, and dashboards/alerting. Design and run experiments (A/B tests, offline customer POCs) to validate new signals before they roll into production. Manage and analyse large, multi-country datasets, ensuring data integr

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Backend Engineer - Platform Insights An overview of this role As a Senior Backend Engineer in Platform Insights, you'll build and evolve the core backend systems that power GitLab's data platform. In this role, you'll focus primarily on Go-based development for the Data Insights Platform and Siphon, with an emphasis on core system design, production readiness, and deployment across GitLab environments. You'll own high-throughput, multi-component backend systems and help shape architecture, reliability, deployment, and operational maturity across GitLab's SaaS, Dedicated, and Self-Managed environments. What you'll do Design

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 build the memory and storage that powers everything from massive data centers to the devices people rely on every day. Our design teams carry silicon all the way to systems—developing advanced memory architectures, shaping the products around them, and validating the solutions used across the globe. We take real ownership of the technology we create, and we're always pushing what memory can do! As a Staff Analog Design Engineer, you'll design and analyze the analog and digital circuits at the core of our memory products, directly shaping their performance, cost, and reliability. You'll work alongside Micron's design and verification teams around the world and support Product Engineering, Test, Probe, Process Integration, Assembly, and Marketing to build products that optimize manufacturing and keep customers coming back. It's a role where your circuit decisions show up in silicon that ships at scale. Responsibilities: Design, optimize, and verify block-level analog and mixed-signal circuits for DRAM Evaluate new circuit topologies to improve block PPAC Expand verification coverage to strengthen robustness and mass-production yield Partner with global design groups, guide layout through post-layout simulation, and support silicon-to-simulation correlation Apply agentic AI and automation tools to improve design quality and efficiency Minimum Qualifications: Bachelor's degree in Electrical Engineering with 6+ years of semicond

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 build the memory and storage that powers everything from massive data centers to the devices people carry every day. Our DRAM IP Design team shapes the circuits at the heart of these products, carrying innovative designs from concept all the way to silicon. We work across global design, verification, and product teams, and the work we do here helps define where the semiconductor industry goes next! As a Principal Analog Design Engineer, you'll help shape the next generation of Micron's memory products, bringing circuit designs to life and directly influencing their performance, quality, and reliability. You'll partner with design, verification, and product teams around the world, operating with the independence and technical depth expected of a principal engineer. It's a role where your circuit decisions show up in silicon that ships at scale. Responsibilities: Design, optimize, and verify block-level analog and mixed-signal circuits for DRAM Propose, evaluate, and implement new or improved circuit topologies to enhance block PPAC Work with the internal data science team and EDA vendors to leverage agentic AI and AI-assisted design flows for circuit optimization Expand verification coverage to strengthen robustness and mass-production yield Partner with global design groups, guide layout through post-layout simulation, support silicon-to-simulation correlation, and operate independently to define solutions and methods Minimum Qualifications:

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts focused on developing data-driven solutions that optimize cost, drive efficiency, and unlock value across procurement and manufacturing value engineering. In this role, you will own the delivery, and people leadership for a portfolio of cost-related analytics and AI initiatives, translating complex business challenges into measurable cost impact. You will also champion the adoption of cutting-edge AI, including Generative AI and agentic systems to accelerate how the team delivers cost solutions. Key Responsibilities Team Leadership & People Management Lead, mentor, and grow a team of data scientists. Set clear goals, conduct performance reviews, and support career development. Foster a collaborative, high-accountability culture of experimentation and continuous learning. Manage hiring, onboarding, and resource allocation across projects. Solution Development & Delivery Oversee end-to-end development of models and tools for cost forecasting, cost-leakage/anomaly detection, and scenario/what-if analysis. Drive analytics for manufacturing value engineering—identifying cost-down opportunities across design, materials, processes, and supplier options. Ensure solutions are production-ready, scalable, and integrated into business workflows and decision-making. Establish best practices for model development, va

AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a qua

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Data Engineer in X product engineering team, you will play a key role in providing comprehensive data solutions that own or serve a wide range of stakeholders, including our end-users and internal teams such as Product engineering, Algorithm, Legal, Finance and Sales. Our work utilizes AI, distributed computing and hybrid storage technologies, but extends beyond purely data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base. RESPONSIBILITIES: You'll help build and operate a distributed data platform that powers hundreds of realtime and batch pipelines processing billions of events per day. The team runs like an internal startup — we own problems end to end, from raw event streams to the datasets, tooling, and metrics that product, growth, safety, and business teams depend on daily. In this role you will: Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions. Create shared datasets, fact tables, and internal data products that let other teams ana

Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires. Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan. We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster. About The Role Careem is looking for a senior individual contributor who is a true functional expert in Oracle ERP. You will be the go-to specialist across Finance and Supply Chain, hands-on in the system every day: designing and configuring solutions, solving complex production issues, and turning business needs into stable, scalable ERP processes. You will work from Pakistan with stakeholders in the UAE and other Careem markets. What You'll Do Finance Act as the subject-matter expert for General Ledger, Accounts Receivable, Accounts Payable and Fixed Assets. Configure and optimize period-close, reconciliation, intercompany and reporting processes. Translate finance requirements into clear functional designs and hands-on configuration. Supply Chain & Procurement Act as the subject-matter expert for Procurement, Purchasing and Supply Chain processes and their financial impact. Streamline procure-to-pay flows, approvals, supplier setup and controls. Identify and deliver automation opportunities across the end-to-end process. Delivery, Support &

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring

InnoPhase Inc., DBA GreenWave Radios™, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays. Headquartered in San Diego, California, GreenWave Radios™ has established itself as a pioneer in delivering power-efficient digital-to-RF solutions. The company is supported by a talented team of over 100 engineers spread across four global R&D facilities. With an extensive portfolio of more than 120 global patents, GreenWave Radios™ continues to push the boundaries of radio technology and innovation. To learn more about GreenWave Radios™ and hear what our employees have to say, visit the GreenWave™ certification profile at GreatPlacetoWork.com or explore our Home - GreenWave Radios website. About the Role As an RF Power Amplifier Design Engineer, you'll report to the VP of Engineering and drive the development of ultra-high-efficiency RF power amplifiers for our 5G cellular base station solutions. Our PA technology sits at the heart of a system-level approach to dramatically cutting base station power consumption, and this role puts you on the critical path from concept through volume production. This full-time position is based in San Diego, CA. What You'll Do Develop ultra-high-efficiency RF power amplifiers (PAs) for 5G FR1 base station solutions Evaluate and adapt the use of available transistors and amplifiers for the design of these PAs in various (Gan, GaAs, LDMOS) technologies as applicable Design, simulate, and debug/evaluate RF PAs, presenting results to peers and stakeholders throughout the design cycle As simulation is imperfect, extract relevant empirical data to hone in on design targets Partner with Systems, RF/Analog, Digital, and Firmware engineers to deliver a complete base station solutio

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Senior Data Scientist II to build the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll work end-to-end framing problems, building models across the modern ML and deep learning toolkit, designing sub-agents that reason and act, and shipping all of it into production for millions of users. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are curious, technically rigorous, and can translate complex modeling and sub-agent behavior into clear recommendations for your partners. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position will report to a Data Science & BI Leader and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models, retrieved context, and LLM reasoning to recommend or take action Build the predictive and prescriptive models that power those sub-agents churn risk, growth, adoption trajectories, account health scoring, and similar lifecycle problems Develop the data foundations and knowledge layer those sub-agents reason over, applying responsible aggregation and privacy-aware design Design the tools, retrieval, and grounding strategies each sub-agent uses; de

About the Role Together AI is hiring a Staff Platform Infrastructure Engineer to drive the service and platform infrastructure strategy across our engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and shape its direction, defining the golden path for how services are built and operated at Together. This role will support mission-critical Product and Platform teams by providing a stable, scalable service infrastructure foundation for building and operating customer-facing and internal services. The focus is on making that foundation reliable, repeatable, and easy for teams to adopt. You'll own and evolve crucial shared infrastructure, roll out new infrastructure patterns and platform capabilities to service teams, and coordinate with other infrastructure teams to ensure services are built on company-wide foundations. In your first year, you might: Ship a new golden-path service template (scaffolding, Helm chart, CI/CD, and GitOps) and move the first set of services onto it. Implement zero-trust policies on our production clusters. Collaborate with DevProd and SREs on the migration to Kargo. Hire and grow the initial Platform Infrastructure team. Responsibilities Set the technical direction for service infrastructure across Kubernetes, AWS, CDN and edge networking, and related operational patterns. Design and build reusable infrastructure primitives, such as Helm charts and Terraform modules. Build self-service platform capabilities, operational runbooks, and AI-assisted tooling that accelerate service development and operations. Partner closely with service teams to modernize existing services and adopt stronger infrastructure patterns. Work with Infrastructure, Networking, and Security teams to translate company-wide platform standards into practical service-level implementations. Lead cross-company infrastructure initiatives such as Terraform CI/CD, Kubernetes networking, zero-trust service communica