Quality Management System Engineer Jobs

Superintendent - Operations TSHD leads operational strategies for efficient and safe dredging, emphasizing quality service delivery, client satisfaction, safety regulations, survey planning, and logistical coordination. Source: Adani Group | Job ID: 56363

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The Role We are hiring an experienced Enterprise Business Development Representative (BDR) to own strategic account development and generate high-quality sales qualified leads (SQLs) with senior enterprise stakeholders. This is a high-impact, outbound-focused role built for someone who knows how to break into complex accounts, build credibility with executives, and create a real pipeline — not just activity. You will operate at the center of Ema's go-to-market motion, partnering closely with Sales and Marketing to build repeatable enterprise pipeline generation. This role supports the US market and requires working US business hours. What You'll Do Own outbound prospecting including defining your set of target enterprise accounts Identify, engage, and qualify Directors, VPs, and C-level decision-makers at $1B+ revenue organizations Develop account entry strategies and multi-thread across buying committees Drive prospects from cold outreach through qualification to booked SQLs using multiple channels (email, cold calls, LinkedIn) Partner with Account Executives to ensure strong handoff and pipeline conversion Own your book of business — know your metrics, y

Role Purpose: At Jumio, the Software Engineer II (QA) will focus on ensuring the quality and performance of highly scalable web and backend applications. In this role, you will design and implement automated tests for web (Playwright/Selenium) and API-based solutions, leveraging your knowledge of Java or JavaScript. Collaborating closely with development and product teams, you will ensure Jumio's products meet the highest standards of quality and reliability. You’ll have an opportunity to learn and grow in a fast-paced environment while exploring new tools and methodologies. A problem-solving mindset, willingness to innovate, and attention to detail will make you successful in this role. T-Shaped Engineering Expectation: As part of Jumio’s engineering culture, you will adopt a T-shaped engineering approach. In addition to developing expertise in test automation and quality engineering, you will collaborate across the development lifecycle, including understanding software architecture, contributing to design discussions, and ensuring robust and scalable test solutions. Role Value: This role is critical to ensuring the reliability, scalability, and security of Jumio’s products. By building and maintaining automated testing frameworks, you will enable faster releases and higher confidence in the quality of our software. Example Responsibilities: Develop, maintain, and execute automated test scripts for web applications using Playwright, Selenium, or similar automation frameworks. Create and execute API test suites using tools such as Postman, REST Assured, or equivalent testing frameworks. Design and execute functional, regression, integration, and exploratory test cases based on business and technical requirements. Validate application functionality, backend services, APIs, and data flows across different environments. Identify, document, track, and verify defects, working closely with developers to ensure timely resolution. Execute automated test suites as part of C

To manage all Hard Services with the objective of providing an enabling environment to employees in compliance with quality and service standards established by the Group whilst ensuring that the services provided are cost effective and efficiently Source: Adani Group | Job ID: 55926

Superintendent - Operations TSHD leads operational strategies for efficient and safe dredging, emphasizing quality service delivery, client satisfaction, safety regulations, survey planning, and logistical coordination. Source: Adani Group | Job ID: 56363

About Scale AI Scale AI accelerates the development and deployment of AI, from the high-quality training data and evaluation services that power the world's leading AI labs, to full-stack AI applications built for Enterprise, U.S. Public Sector, and Global Public Sector customers. We don't just hand over a model; we find the highest-value use case, build the system around it, and own the outcome, whether that's an agent supporting mission planning for the Department of Defense, a sovereign AI platform for a government ministry, or an agentic workflow inside a Fortune 500 enterprise. Our platform powers breakthroughs at the frontier of AI, and great design is how we make that power accessible, intuitive, and trusted by the teams who rely on it every day. The Role We're looking for a product design leader to lead and grow our enterprise team. What You'll Do Set the direction for Enterprise design. Define what exceptional design looks like for Scale's Applications customers making high-stakes decisions and for the expert contributors powering the platform. Translate the broader design vision into a clear, motivating direction for your team. Build and lead the team. Own hiring, development, and day-to-day leadership for a growing team of designers. Create the culture and operating rhythms that let them do their best work. Drive design execution across the Enterprise product. Partner with your Product and Engineering counterparts to set priorities and ensure design is involved from problem scoping through delivery, not brought in at the end. Raise the craft bar. Uphold design principles and quality standards on your team. Push designers beyond digitizing workflows toward genuinely rethinking how people work with AI. Hold the line on quality without slowing delivery. Contribute to the design system. Help shape and adopt Scale's shared design system, championing consistent component use and contributing patterns back so a distributed team can build coherently at speed. Gro

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes. As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement. This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value. Responsibilities Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across a

Searching for reliable catering services near me? Chinnam’s Caterers is your trusted partner for high-quality food and professional service for all types of events. Whether you are planning a wedding, birthday party, corporate function, or family gathering, we provide customized catering solutions to make your occasion special and stress-free. Our menu includes a wide range of vegetarian and non-vegetarian dishes, crafted with fresh ingredients and authentic flavors. From traditional South Indian and North Indian cuisine to modern and customized menu options, we ensure every dish is delicious, hygienic, and beautifully presented. Our experienced team handles everything from menu planning to service, ensuring a smooth and memorable experience. If you are looking for dependable catering near Miyapur, Chinnam’s Caterers stands out for its quality, timely service, and attention to detail. We offer flexible catering packages to suit different budgets and event sizes, making us the ideal choice for both small gatherings and grand celebrations. Conveniently located in Madeenaguda, Hyderabad, Telangana, we proudly serve Miyapur and nearby areas with dedication and excellence. Choose Chinnam’s Caterers for exceptional taste, reliable service, and a hassle-free catering experience. Contact us today to book the best catering service for your upcoming event! visit us; https://maps.app.goo.gl/Ehsq7aKimCF7ThT89

We're looking for an Engineering Manager to lead the Agent Context team in NYC. This team owns how Asana's AI systems search, retrieve, and reason over the work graph the search infrastructure, dense embedding pipelines, ranking systems, and evaluation frameworks that determine whether every AI experience at Asana is trustworthy or not. Your mission is to make retrieval comprehensive, reliable, and fast at enterprise scale, positioning Asana as the coordination and memory layer for the agentic enterprise. This is a high-leverage platform role: nearly every AI product at Asana - AI Teammates, chat experiences, agentic workflows depends on the systems this team builds. You will manage a team of senior engineers in New York collaborating daily with partner teams in San Francisco and Warsaw, and work alongside a dedicated Product Manager as your direct counterpart. This role is based in our New York office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. What you'll achieve Own the technical direction and delivery of Asana's retrieval stack end to end: lexical and semantic search, dense embedding generation and backfill at scale, chunking and ranking strategies, and RAG comprehensiveness across the work graph. Build and operate the evaluation infrastructure that makes retrieval quality measurable recall/precision benchmarks, offline and online evals, and comparative testing across retrieval backends - so quality decisions are made with data, not vibes. Drive the cost, performance, and quality tradeoffs that define this space: when semantic search earns its infrastructure cost over lexical, how to hit latency targets without sacrificing recall, and how retrieval improvements compound into cheaper, faster downstream LLM calls. Set and enforce the bar for how other teams at Asana integrate with retrieval: clear ownership of embedding decisions, rollout g

Looking for professional veg caterers Hyderabad? Chinnam’s Caterers offers top-quality catering services for weddings, birthdays, corporate events, housewarming ceremonies, and all special occasions. With a strong focus on taste, hygiene, and presentation, we ensure every event is served with delicious and satisfying vegetarian food. Our menu includes a wide variety of dishes such as traditional South Indian meals, North Indian cuisine, Chinese options, and customized menus to match your preferences. Whether you need catering for a small gathering or a large celebration, we provide flexible packages tailored to your budget and event requirements. At Chinnam’s Caterers, we use fresh ingredients and maintain high standards in food preparation to deliver consistent quality and great taste. Our experienced team takes care of everything from menu planning to food service, ensuring a smooth and hassle-free experience for our clients. Conveniently located in Madeenaguda, Hyderabad, Telangana, we proudly serve customers across the city with reliable and timely catering solutions. If you are searching for trusted vegetarian catering services that combine quality, flavor, and affordability, Chinnam’s Caterers is your perfect choice. Contact us today to book the best veg catering service for your next event! visit us; https://maps.app.goo.gl/Ehsq7aKimCF7ThT89

About the Team The Ecosystem Applied AI Engineering team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an Applied AI Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. This role is based in our San Francisco office. 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 technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. Identify strong plugin use cases, define crisp user journeys and expected behaviors, and help partne

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

About the Role: Tubi is seeking a highly skilled and experienced Senior QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office three days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Help drive a shift-left testing approach by engaging early in the software development lifecycle, partnering with product managers, engineers, and data scientists to identify quality risks, define test strategies, and ensure testability during requirements and design phases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or reco

About the Role: Tubi is seeking a highly skilled and experienced QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or recommendation anomalies post-release and escalate issues promptly. Continuously improve QA processes, metrics, and reporting for streaming and AI validation. Your Background: Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent hands-on experi

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. As a GQ FE Central QE Product Senior Engineer, you will lead network-level quality and reliability improvement initiatives to meet product, qualification, and customer requirements. This role goes beyond document-based quality work and requires strong technical depth in Front-End (FE) manufacturing, as well as the ability to influence and drive execution across a matrix organization. You will work closely with GQ, CPIE, Process Engineering (PE), and FE fab teams to establish and deploy best-known methods (BKMs), define clear line-of-sight metrics, and execute cross-functional action plans that improve product quality and reliability, and higher tier supply. You will also chair and facilitate network forums to align stakeholders, remove roadblocks, and ensure timely closure of issues and deliverables. Key program activities include driving cross-site benchmarking for F10 metallization and OMT expansion to ensure product quality performance matching across the network. Responsibilities and Tasks Drive alignment and collaboration guidance from Quality Organizations in FE Manufacturing, GQ, and PE. Develop, manage, and communicate strategic plan for high tier product grade yield, F10 metallization and OMT expansion equivalency program. Conduct analysis to identify cross-site gaps and support driving cross-site matching (e.g., quality/reliability indicators, yield/product grade performance), translating insights into prioritized actions and measu