Production Line Management Engineer Jobs

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. Serial Productions, in collaboration with The New York Times Metro desk, is launching a new bi-weekly narrative podcast focused on New York City. The podcast will be accompanied by weekly editorial extensions — primarily social video, but also newsletters and live events — that share the sensibility of the show while standing alone as distinctive creative work. The Senior Multimedia Producer will lead the conception, production and evolution of these extensions, helping invent a distinctive visual language that translates Serial's narrative, character-driven stories about New Yorkers into social-first video and other formats that feel unmistakably of New York City. This role is a key member of the Serial editorial team and will work closely with Serial producers and editors, New York Times video, social and marketing teams, and freelance collaborators to create fun, experimental and ambitious content that grows and deepens the audience for the show and for Serial more broadly. This role is based in New York City. The Senior Multimedia Producer is expected to spend significant time in person with Serial, Metro and partner teams, in accordance with New York Times policies, while also doing field and location work across the city as needed. Responsibilities: Lead the editorial vision and production strategy for all extensions to the podcast, including social video, newsletters and live or virtual events. Develop platform-specific social video c

Position Overview SingleStore is seeking a Forward Deployed Engineer (FDE) to operate at the intersection of solution architecture, technical delivery, and customer partnership. This role combines elements of a solutions architect, technical account manager, and solution engineer, with a strong emphasis on execution. As an FDE, you will serve as a trusted technical advisor and sounding board for customers, helping them design, implement, and scale real-time data solutions using SingleStore. You will work closely with customers to understand their business objectives, translate them into technical strategies, and drive those solutions into production. This role requires a delivery mindset, strong technical depth, and the ability to lead both strategic conversations and hands-on execution. Role and Responsibilities Partner directly with customers to understand their architecture, use cases, and business goals, and translate them into scalable technical solutions. Design and implement end-to-end solutions integrating SingleStore into existing application and data ecosystems. Lead whiteboard sessions to shape ideas, define architecture, and convert concepts into technical specifications and execution plans. Act as a proactive thought partner, bringing ideas and guiding conversations rather than reacting to requirements. Own delivery of high-impact initiatives from concept through production, ensuring successful outcomes. Provide hands-on support, including troubleshooting, optimization, and applying pragmatic solutions or fixes when needed. Collaborate closely with Sales, Solutions Engineering, Product, and Engineering teams to align customer needs with product capabilities and roadmap. Help customers prioritize and operationalize their data initiatives, balancing ambition with practical delivery. Feed insights from customer engagements back into Product and Engineering to influence roadmap and improvements. Your Experience 10+ years of experience in solution architectu

About us We were founded in 2017 with the motivation to reach people globally by giving them unique and unforgettable experiences with disruptive products. Our games have reached over 3.5 billion people. This could only be done by gathering exceptional talent and creating a culture to enhance team spirit and creativity. We are looking for passionate teammates to join our team! What you'll be doing Execute hybrid-casual game ideation, prototype, and production process Collaborate with the team to build high-performing hybrid-casual games Use play test and performance data to iterate quickly and decide which prototype games move to production Desired skills and experiences Fresh graduates from reputable universities Excellent communication skills Being data-driven and results-oriented Strong enthusiasm for gaming and a genuine commitment to deliver outstanding player experiences Passion for Match Villains Experience with hybrid-casual games is preferred What makes our team so unique Feedback and transparency are at the heart of everything we do Exceptional and passionate people/team members Every idea counts Never-ending learning We never stop asking the questions “why” and “how” Our Perks Team events and trips Great food On-site gym Full health benefits Compensation for paid military service Relocation support Good Job Games Coin Program that lets you have unforgettable experiences (e.g. Going on a cruise trip to Norway or seeing the Northern Lights) This is an on-site role in Istanbul, Sarıyer. We do not offer a fully-remote working option.

About us We were founded in 2017 with the motivation to reach people globally by giving them unique and unforgettable experiences with disruptive products. Our games have reached over 3.5 billion people. This could only be done by gathering exceptional talent and creating a culture to enhance team spirit and creativity. We are looking for a passionate Product Specialist to help shape the player experience and drive the success of an upcoming IP-centric mobile game. What you'll be doing Executing mobile game ideation, prototype, and production process for our brand-new IP Collaborating with the team to build high-performing mobile games Using play test and performance data to iterate quickly and decide which prototype games move to production Desired skills and experiences Fresh graduates from reputable universities Excellent communication skills Being data-driven and results-oriented Strong enthusiasm for gaming and a genuine commitment to deliver outstanding player experiences Passion for Match Villains Experience with mobile games is preferred What makes our team so unique Feedback and transparency are at the heart of everything we do Exceptional and passionate people/team members Every idea counts Never-ending learning We never stop asking the questions “why” and “how” Our Perks Team events and trips Great food On-site gym Full health benefits Compensation for paid military service Relocation support Good Job Games Coin Program that lets you have unforgettable experiences (e.g. Going on a cruise trip to Norway or seeing the Northern Lights) This is an on-site role in Istanbul, Sarıyer. We do not offer a fully-remote working option.

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field. The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them. You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast. You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't. RESPONSIBILITIES Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't. Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for a high-ownership Project/Program Manager to lead AI-led transformation initiatives across the Lending Collections ecosystem. This role sits at the intersection of Business, Product, Technology, Data, and AI. The ideal candidate should be equally comfortable understanding a business problem, translating it into a structured product/technology requirement, driving engineering execution, and taking the initiative all the way to production and measurable business impact. This is not a traditional project-management role. We are looking for someone who can own the problem statement, bring structure to ambiguity, drive stakeholders, and turn AI opportunities into production-grade solutions. Key Responsibilities 1. Business Requirement & Problem Discovery Work closely with Business and Collections stakeholders to identify operational pain points, automation opportunities, and AI use cases. Conduct requirement-gathering workshops and translate business needs into clear, actionable requirements. Challenge requirements where necessary and bring structure to ambiguous problem statements. Understand lending collections journeys, customer touchpoints, workflows, operational processes, and relevant business metrics. 2. BRD, Workflow & Solution Documentation Create and maintain detailed BRDs, functional requirements, user stories, process flows, workflows, and solution documentation. Define end-to-end process journeys, including inputs, outputs, decisioning logic, exceptions, dependencies, and integrations. Convert business requirements into granular user stories with clear acceptance criteria. Ensu

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field. The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them. You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast. You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't. RESPONSIBILITIES Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't. Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps a

Senior Software Engineer – Security & Distributed Systems Location: United States — Remote Department: Engineering Company: RapidFort Employment Type: Full-Time U.S. Citizenship: Required About RapidFort RapidFort is a cybersecurity company focused on securing and optimizing modern software supply chains and cloud-native environments. Our technology helps organizations reduce software vulnerabilities and attack surface by identifying and removing unnecessary components from containerized applications. RapidFort works with enterprise and U.S. public-sector customers operating highly complex, security-sensitive environments. We are building systems that operate at the intersection of cybersecurity, distributed systems, Linux, containers, Kubernetes, and cloud infrastructure . The Role RapidFort is looking for a Senior Software Engineer – Security & Distributed Systems to join our engineering team. This is a hands-on backend engineering role for someone who enjoys solving complex systems problems and building production software that operates across distributed, containerized environments. You will design and develop backend services and distributed systems that power RapidFort’s security platform, working with large volumes of software, vulnerability, container, and runtime data. This is not an SRE or infrastructure operations position . We are looking for a software engineer who builds systems and products, with strong knowledge of the infrastructure and environments in which those systems operate. What You’ll Do Design, build, and maintain highly reliable backend services and distributed systems. Develop core components of RapidFort’s cybersecurity and software supply chain security platform. Build systems for processing, analyzing, and managing large volumes of security, vulnerability, package, container, and runtime data. Design scalable APIs, services, data pipelines, and internal platform components. Develop software that operates across Linux, container

NVIDIA IT Finance is looking for SAP FICO professional. The ideal individual for the team will have in-depth experience with SAP FICO modules and its integration to other systems. You will lead the effort to design, develop and implement SAP FICO solutions. This Resource will be working closely with key finance users and involved with application roadmap with fellow IT team members. What you'll be doing: Lead and support SAP FICO initiatives as team member and lead to implement new and improve existing functionalities. Articulate, analyze requirements, and translate them into effective solutions to support the future of Finance, responsible for the configuration of SAP FICO module. You'll mentor and support users and teammates on SAP FICO functionalities including understanding of configurations and transactions, guide global support team (MSP) where needed in daily production support. Key contact with the business users in different time zones to harmoniously work on the requirements to develop additional FICO functionalities. You will work with multi-functional/technical teams to prioritize the work and then drive system solutions by clearly articulating business needs and co-ordinate with teams to get development moving. Work with cross-functional teams to prioritize work and drive system solutions by clearly articulating business needs. Coordinate global teams to prioritize, complete projects, guide them in small to medium projects, and update Project Coordinator and team. Build Training documentation & impart training to end users, prepare scripts & conduct Unit Testing / User Acceptance Testing What we need to see: You will have a minimum of 12+ years of SAP ECC 6.0/S4/Fixed Assets/Tax/GL/Local Statutory Reporting experience focused on the FICO modules, Func

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. Job Summary As a Fab 10 Facilities Operations Transformation Engineer, you will play a pivotal role in transforming our Facilities Operations to support our advanced memory and AI applications. You will lead multiple exciting programs aimed at improving team productivity and ensuring an uninterrupted supply of plant utilities and facilities services, operating 24/7 to support Fab Production. Your innovative mindset and enthusiasm will drive continuous improvement through data, automation, and enhanced operational strategies. You will have opportunities to work with people from various backgrounds and different responsibilities. Main Responsibilities Drive improvements to all existing and future Fab 10 Facilities Operations programs, coordinating with all Facilities system owners from all sites in Fab 10 Lead Post Incident Review (PIR) processes to prevent facilities supply interruptions and ensure smooth execution of critical work through the Site Incident Prevention Plan (SIPP) Spearhead labor productivity improvement projects within Fab 10 Facilities Operations, leveraging business process improvement and automation in daily operations. Represent Fab 10 Facilities as Area Quality Coordinator (AQC), leadin

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Sales Development Manager to lead the team of SDRs generating pipeline for our North American sales org. You'll own the day-to-day leadership of the team — coaching reps, aligning with AEs and sales leadership, holding a high bar on execution, hiring, and building the systems that make the team consistently productive. Our market is new and evolves by the day, and our buyers are hyper-technical. Prospecting at Baseten means earning credibility with that audience, and coaching a team to do it at scale. The right person for this role is a coach and a builder — someone who gets energy from developing people, is obsessive about execution, and wants to define what world-class pipeline generation looks like when the product, the buyers, and the sales motion are all AI-native. RESPONSIBILITIES Lead, coach, and develop a team of SDRs responsible for opening doors with the next wave of Baseten customers. Own the team's pipeline generation targets and drive consistent execution against weekly, monthly, and quarterly goals. Build and refine outbound strategies, messaging, and frameworks across a wide range of accounts, tuned to a technical audience. Run 1:1s, team meetings, training, and pipeline reviews that make reps measurably better week over week. Partner with AEs and sales managers on account strategy, lead quality, and handoff processes. Analyze pipeline data to identify what's working, diagnose what'

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: Design and implement the low-level device runtime for OpenAI custom silicon. Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. Di

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will work on the systems software strategy and execution that brings new AI silicon from first power-on to a fully integrated system running production-representative models at expected functionality and performance. You will define how software exercises and validates compute, memory, interconnect, and I/O subsystems, then build the diagnostics, automation, and observability needed to find issues quickly. This role sits at the center of silicon, firmware, platform, systems, and workload teams. You will turn hardware specifications and performance targets into an end-to-end bringup plan, drive cross-functional debug, and establish the stress and regression infrastructure that makes each new platform reliable across operating environments. In this role, you will: Contribute to the end-to-end software bringup and validation strategy for new silicon and first-party systems. Define software-driven test coverage across compute, memory, interconnect, I/O, and their system-level interactions. Build diagnostics, test automation, telemetry, and regression infrastructure that accelerate first-silicon learning and issue isolation. Lead bringup from initial silicon arrival through board and system integration, docking, runtime enablement, and model execution. Design stress tests that characterize reliability, performance, and stability across workloads and operating conditions. Translate architecture specifications and performance models into measurable acceptance crit