Production Supervisor Jobs

MongoDB is the modern database platform and consistently voted the #1 most wanted database , preferred by developers. MongoDB continues to attract the most demanding and innovative companies and development teams in enterprise software. To support this growth, we are expanding our Industry Solutions Team (IST), a flexible, globally distributed organization that helps customers and partners modernize applications and data platforms with MongoDB. As a Forward Deployed Architect in our ISV Practice, you will be the technical design lead for engagements with independent software vendors (ISVs). You will work with ISV development leaders, senior engineers, and Forward Deployed Engineers to design how MongoDB integrates with and extends the partner’s product. This is an application architecture role, not a database administration or database consulting role. You will ensure that the designs implemented by the team are practical, production-ready, and reusable across future partner engagements. Learn more about #LifeAtMongoDB here ! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do at MongoDB Lead technical design for ISV engagements by understanding partner architecture and delivery models, then defining MongoDB data models, access patterns, indexing, and integration approaches for products serving different industries Design MongoDB as a supported platform option alongside Oracle, PostgreSQL, or SQL Server, including persistence abstractions, feature parity, backend-specific behavior, and certification requirements Design coexistence architectures and migration paths, including data flows, synchronization, consistency, application refactoring, dual-run strategies, validation, and controlled cutover Lead design reviews, provide technical direction, and review schemas, queries, indexes, MongoDB-related code, and performance against realistic partner workloads Design solutions across MongoDB Atlas, Enterprise

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 We are seeking a highly skilled Physical Design Engineer with deep expertise in physical design and methodology. This individual contributor role sits within our physical design team and is central to delivering power, performance, and area (PPA) optimized datapath and interconnect solutions for next-generation AI accelerators. You’ll work closely with RTL designers to define and execute on physical design strategies. You will develop tools, flows and methodologies to increase team productivity. Your work will directly impact silicon’s performance and cost efficiency, as well as the team’s execution velocity and quality. In this role, you will: Develop, build and own tools, flows and methodologies for physical implementation Own physical implementation of floorplan blocks from floorplanning to final signoff Collaborate with RTL designers to drive optimal block implementation solutions Analyze and optimize design for timing, power, and area trade-offs, working in collaboration with EDA vendors and ASIC partners Qualifications: BS w/ 4+ or MS with 2+ years or PhD with 0-1 year(s) of relevant industry experience in physical design and methodology development Demonstrated success in taping out complex silicon designs Hands-on experience with block physical implementation and PPA convergence Strong coding experience with python, bazel, TCL Strong experience building physical design tools, flows and methodologies Strong understanding of microarchitecture, RTL design,

Datadog AI Research — Scholars Program with Carnegie Mellon University Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support a small number of PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. The Lab And The Research: DAIR is an industrial research lab motivated by practical challenges in observability and software operation: detecting and diagnosing failures, understanding complex production environments, and helping engineers operate software more effectively. The lab focuses on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. By combining fundamental research with Datadog's large-scale, real-world data and infrastructure, the lab develops new AI capabilities and translates them into practical systems with meaningful impact. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor. You do not need prior experience with observability, monitoring, or infrastructure. What You'll Do: Own a research project end to end: framing the question, running the experiments, writing it up Work directly with a DAIR mentor engaged in the same problem, and stay connected to your advisor and lab Publish, and use the work toward your dissertation See research reach production, when it works Who You Are: Currently enrolled in a PhD program at Carnegie Mellon in machine learning, computer science, statistics, or a related field Depth in at least one area relevant to the research above Comfort running real experiments — training models, working with GPUs, reading and reimplementing recent papers Evidence you can do research: conference or workshop papers, preprin

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 We’re looking for a product manufacturing & quality engineer, who will be responsible for driving technical initiatives related to the manufacturing, quality and reliability of our AI supercomputer hardware systems to ensure product success from concept to launch and through mass production. You’ll have the opportunity to coordinate with functional SMEs and work with a wide range of stakeholders, from design engineering and operations teams, TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Own the integrated manufacturing and quality readiness for a product across L6, L10, and L11, with clear gates, milestones, deliverables, owners, and closure criteria. Lead readiness of process flows, tooling, fixtures, assembly operations, test interfaces, and production controls. Review and contribute to work instructions. Translate product requirements into qualification plans, process controls, test requirements and acceptance criteria with design engineering and Area SMEs Coordinate and drive execution of product and process qualification, reliability testing, and validation with the relevant SMEs. Maintain traceable evidence that assigned products and processes meet agreed performance, reliability,

As a Manager in our ISV Practice, you will lead a team of Forward Deployed Engineers working directly with independent software vendors (ISVs) and their engineering organizations. The team builds MongoDB capabilities inside partner products and turns successful engagements into reusable patterns for future partner engagements. You will lead the people, priorities, and operating model that enable the team to deliver production-oriented solutions with partners. This role combines people leadership, technical judgment, partner engagement, and cross-functional execution. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do at MongoDB Lead, coach, develop, hire, onboard, and retain a team of Forward Deployed Engineers while creating a high-performing and inclusive engineering culture Set priorities and allocate capacity across multiple partner engagements, enabling the team to work effectively in parallel Establish a repeatable engagement model from qualification through build, validation, documentation, and handoff, ensuring partners provide the context, access, technical counterparts, and release path needed for delivery Guide the team in building production MongoDB integrations, application capabilities, migration approaches, deployment patterns, and operational guidance while maintaining a high bar for quality, readiness, security, performance, observability, resilience, and supportability Ensure engagements produce reusable architectures, implementation patterns, tooling, documentation, and lessons learned that accelerate future partner engagements and benefit the wider organization Coordinate with Solutions Architecture, Solution Validation, Technical Services, Sales, Product, Engineering, and partner stakeholders on scope, ownership, technical contribution, validation, handoff, escalation, and support boundaries Engage directly with strategic partners when senior technical or leadership involvement is needed

Job Overview As a UI/UX Designer, you will shape the web interfaces and interaction systems supporting the World of Warships product. You’ll work closely with developers, QA, analysts, PMs, and other designers to take concepts from initial sketches through implementation, while maintaining a consistent and high-quality visual style. You’ll use a data-driven, product-oriented approach to continuously improve features based on user feedback and contribute to clear UI guidelines and design documentation. Reports to Project manager What will you do? Design the web interfaces from a sketch to the final implementation and take control of the interface assembly Maintain and improve the visual style of the web services Control the visual quality of the UI at each stage of production: conception, design layouts, implementation Iteratively improve the design of features in accordance with user feedback and possible changes in the technical requirements of the development Prepare project documentation: interaction description, UI guidelines, fixing rules and improvements in the user interface system Interact with other designers, analysts, developers, and QA Create tasks for the 2D team and UI writers What are we looking for? 3+ years of working experience Deep understanding of UX principles and interaction design Data-driven design approach and product-oriented mindset Experience using analytics, user research, and feedback to drive design decisions Ability to design scalable UI systems and establish reusable patterns and standards Excellent knowledge of Figma Experience working with Jira/Confluence Advanced level of English and Russian language What additional skills will help you stand out? Experience working with AI tools Basic understanding of layout & frontend markup (HTML/CSS), and the use of DevTools to identify differences from the design Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Bene

MongoDB is the modern database platform and consistently voted the #1 most wanted database , preferred by developers. MongoDB continues to attract the most demanding and innovative companies and development teams in enterprise software. To support this growth, we are expanding our Industry Solutions Team (IST), a flexible, globally distributed organization that helps customers and partners modernize applications and data platforms with MongoDB. As a Forward Deployed Engineer in our Industry ISV Practice, you will work directly with independent software vendors (ISVs) and their engineering organizations to build MongoDB capabilities into their products. You will work in the partner’s codebase, languages, engineering practices, and release process to deliver production-ready integrations, migrations, and product capabilities. The solutions you help build should leave the partner with maintainable code and knowledge, while creating reusable patterns that can accelerate future partner engagements. This is a hands-on application engineering role. You will spend time understanding existing products built on relational databases, designing practical MongoDB approaches, writing production code, and working alongside partner engineers through implementation and rollout. The role requires regular travel and time on-site with ISV partners during key phases of the engagement. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do at MongoDB In this role, you will Embed with ISV engineering teams, adapting to their codebase, practices, release cadence, and constraints while understanding their product architecture, industry context, data model, and deployment environment Design and build MongoDB-backed product capabilities, including integrations, data models, indexes, queries, persistence layers, migration tooling, and support for MongoDB alongside relational database editions Design and implement coexistence and migra

Technical Program Manager III itD is seeking a Technical Program Manager III to drive hardware program execution for next-generation AR wearable devices. This role will play a critical part in managing PCB development and electrical component integration, ensuring seamless collaboration between electrical engineering, layout, and manufacturing teams. The ideal candidate will bring deep experience in hardware engineering or program management and a proven track record of delivering complex PCB and wearable device programs from design through production. Location: Onsite – Sunnyvale, CA Duration: 12 Months (potential for extension / FTE conversion) Pay Rate: $75 - $80 per hour, depending on experience We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Lead end-to-end program management of PCB development, including flex circuits and multi-layer boards (MLBs) from design through production Drive design release processes, ensuring alignment across electrical engineering, layout, and cross-functional teams Manage SMT (Surface Mount Technology) and FATP (Final Assembly, Test, and Pack) builds, optimizing for schedule, quality, and yield Collaborate closely with electrical and layout engineers to develop and refine circuit designs for compact wearable devices Track program schedules, dependencies, and risks, proactively driving mitigation strategies Coordinate with APAC-based teams and vendors, including participation in early morning or evening meetings Ensure successful integration of small electrical components into advanced AR wearable form factors Provide strong program leadership, driving ownership, clarity, and execution across stakeholders Internal Responsibilities Attend regular internal practice community meetings Collaborate with your itD practice team on industry thought leadership Complete client case

About the Team The Code Quality team sits within the Developer Platform organization and owns the systems that keep DoorDash's codebase healthy and secure as it scales: static analysis, quality gates, test frameworks, regression infrastructure, and tooling. Our job is to make sure the signals engineers rely on before shipping — test results, coverage, performance feedback etc — are fast and trustworthy. The decisions we make about tooling and standards directly shape how confidently and quickly engineering teams at DoorDash can ship to production. About the Role We're looking for Software Engineers to help build and maintain the systems that validate code quality across DoorDash's engineering org, treating our tooling as a critical product for the engineers who rely on it every day: static analysis and quality gates, test frameworks and regression infrastructure. You’ll design the tooling and automation that will help derive trustworthy quality signals, integrate them into the development lifecycle, and make it easy for engineers to execute reliable, repeatable workflows. You will collaborate across the engineering org, partnering directly with the teams who use what you build to understand the accuracy, reliability and performance of their functionality. You will report into the Engineering Manager on our Code Quality team in our Developer Platform organization. You must be located in either San Francisco, CA, Sunnyvale, CA, Los Angeles, CA, Seattle, WA, or New York, NY. You're excited about this opportunity because you will… Build and maintain quality tooling — static analysis, quality gates, coverage reporting, test frameworks, regression infrastructure — and integrate it directly into our developer workflows and CI/CD pipelines Define and derive quality signals - flakiness, pass rate, coverage, performance, scale readiness etc - Build tooling that improves everyday engineering workflows, including local development, CI/CD, debugging, and rollou

Software Engineer II Location: Hyderabad Experience: 3–5 Years Role Overview Looking for a Software Engineer II with strong Java/Spring Boot development experience. Work on backend and frontend platforms supporting high-volume healthcare transactions . Full-stack experience is a plus, with Angular preferred. Key Responsibilities Develop and maintain applications using Java, Spring Boot, and REST APIs . Work with MySQL, MongoDB, and Redis . Develop integrations with internal services. Write unit and integration tests . Participate in Agile/Scrum ceremonies and production issue resolution. Collaborate with engineers, architects, and Product teams. Follow clean coding practices and established design patterns . Use AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code . Must-Have Skills 2–3 years of software development experience. Strong Java + Spring Boot . REST API development. MySQL or other relational databases. Unit & integration testing ( JUnit or equivalent). Basic AWS/cloud knowledge. Agile/Scrum experience. Strong problem-solving and debugging skills. Good to Have Angular / TypeScript MongoDB / Redis AWS: S3, SQS, RDS, EC2 GitHub Actions / CI/CD Playwright or other automation frameworks Experience with AI-assisted coding tools Ideal Candidate A hands-on Java/Spring Boot developer with good backend fundamentals, cloud exposure, strong debugging skills, and a willingness to work across the stack and adopt modern development tools. GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring tog

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

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 building a founding team of Strategic Account Executives in London. Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next. This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact. RESPONSIBILITIES Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales. Lead technical evaluations and complex, multi-stakeholder s

The Best Players Need the Best People. Responsibilities include the booking and scheduling of vendors, crew and technical facilities for a variety of projects with a focus on assigned live remote productions. Determine requirements for each job and facilitate as needed, oversee from beginning to end with all parties, managing all operational aspects of each project to guarantee they are managed appropriately. Work directly with the Accounting Department on projected budgets and reconcile project expenses to ensure client billing is timely and accurate. QUALIFICATIONS Bachelor's Degree or related experience Minimum of five to seven years in the production industry with experience in remote operations Experience in remote television logistics planning, television compounds and execution Experience in project budgeting, crewing, logistics and scheduling for studio and remote operations Sports background preferred. Experience with operational requirements and logistics related to golf Must have experience with various camera, audio, grip and lighting equipment for live remote, commercial and ENG shoots Proficient in Microsoft Wo

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. Our vision is to transform how the world uses information to enrich life. Join an inclusive team focused on one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solution we create help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while contributing to integrity, sustainability, and giving back to our communities. Because doing so can spark the very innovation we are pursuing. Job Description: As a CAD Applications Engineer at Micron Technology, Inc., you will be working in a collaborative, production support role evaluating, improving EDA and debugging both in-house and commercial Electronic Design Automation (EDA) tools and flows for Design Verification . You will work closely with the Design and Layout teams to increase their productivity and work efficiency. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Responsibilities and Tasks include, but not limited to: Develop, deploy, and support robust, configurable, and scalable tools to enable hardware verification acros

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. The DRAM Technology Node Development team is responsible for bringing next-generation DRAM products from concept to production by improving yield, validating new features, and driving product quality. The team collaborates across design, process integration, manufacturing, and test engineering to solve complex technical challenges and deliver innovative memory solutions that power the future of computing. As a Product Engineer Intern in the DRAM Technology Node Development group, you will work alongside experienced engineers to support the development of next-generation DRAM products. You will gain hands-on experience in product characterization, test development, yield analysis, and design validation while applying analytical and problem-solving skills to real-world engineering challenges. Responsibilities Support new DRAM product development through electrical characterization, test development, circuit analysis, and design validation activities. Analyze product, test, and yield data to identify performance issues and drive continuous improvement initiatives. Collaborate with process, design, manufacturing, and test engineering teams to investigate and resolve product and process-related issues. Develop and improve test methodologies, automation scripts, and data analysis tools to enhance product quality and testing efficiency. Apply engineering tools, statistical analysis techniques, and AI-enabled technologies to support product c