Production Line Management Engineer Jobs

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Design and implement robust, scalable, and secure RESTful APIs; Develop applications on embedded platforms, integrating closely with hardware and network systems; Architect and document backend software systems with a focus on performance, maintainability, and scalability; Perform network programming and system-level integration across multiple subsystems; Collaborate with cross-functional teams including Frontend Engineering, UX Design, and QA to ensure cohesive product development; Ensure high-quality deliverables and meet project timelines consistently; Participate in code reviews and actively share knowledge to foster a culture of continuous improvement. Requirements: 5+ years of experience with Golang in a production environment; 5+ years of experience working with relational databases (RDBMS) such as PostgreSQL or MySQL; Demonstrated expertise in designing and developing RESTful APIs; Strong analytical and problem-solving skills, with a proactive and adaptable mindset; Proficiency in AI development environments (e.g., Cursor, Claude Code) and expertise in AI development techniques, such as Spec-Driven Development, are required; Fluent in English. Nice to have: Experience developing or maintaining IoT platforms or connected device ecosystems; Knowledge of IoT protocols such as MQTT, CoAP, or WebSockets for

About us At Design Bridge and Partners, part of WPP, we design brands with the power to move. Pulling people towards them with an irresistible force that compels and connects. With 900 creative minds across 17 studios worldwide, diverse in expertise, experience, backgrounds and beliefs, we are united in our ambition to achieve real impact for our clients’ brands benefiting their business, people and the planet. With expertise across brand strategy, brand design, brand engagement and brand effectiveness our clients across the world include NASA Artemis, Unilever, Coca-Cola, Diageo, Mastercard, Intel, HSBC, Tencent, Twitch, Heineken, Reckitt and the BBC. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. About the role As a Design Director, you will be the champion of your projects, bringing strategic creative leadership to bear across high-profile re-brands, exciting concept generation, and iconic design solutions. Working in close partnership with our Creative Directors and Client Leads, you will lead multidisciplinary design teams to deliver work that is insightful, confident, inspirational, and craft-driven. You’ll act as a true agency partner rather than a reactive supplier, challenging briefs, driving concept generation, and presenting with gravitas and conviction. Beyond the work, you will play a vital role in the health and energy of the studio, inspiring, motivating, and guiding designers through the highs and lows of the creative process, while ensuring our high standards of craft, financial efficiency, and pr

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud, and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to help our customers be successful with MongoDB. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted. The ideal candidates should have strong technical experience in more than one of the following areas Systems administration Distributed systems Network administration Database architecture and administration Application architecture Experience with authentication systems such as OIDC/SAML, LDAP, Kerberos, AD etc. Experience with virtualization - docker, kubernetes If you have an operations background, we prefer experience administering large-scale production environments, including hardware, operating systems (e.g. Linux, Windows),

About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven innovation, building the scalable systems that power Meesho's most critical surfaces — Search, Recommendations, Personalized Ranking, Logistics, Fraud Detection, and Image Match. The AI Platform sits at the heart of this. It serves a peak of 1M+ real-time deep-learning model inferences per second on ordinary days, scaling 3x+ on sale days — with the reliability that scale demands. The team works at the frontier of applied AI and infrastructure — multi-region inference, novel embedding-search algorithms, and optimized open-weight LLM models — squeezing out every bit of computation and passing the cost savings straight back to customers. About the Role We are looking for an experienced Engineering Manager – AI Engineering to lead the development of scalable AI platforms and infrastructure while managing high-performing engineering teams. You will drive the design, delivery, and optimization of production-grade AI systems powering AI use cases across Meesho. What You'll Do Lead, mentor, and grow a team of AI engineers — setting technical direction, raising the engineering bar, and owning execution and delivery end to end. Architect and scale Meesho's AI platform: cross-region model inference, multi-GPU fleet allocation and management, distributed training, and feature-engineering infrastructure. Drive inference optimization across the full stack — GPU kernel tuning, quantization (including outlier/tail-distribution handling), and memory/IO-bandwidth optimization — while building agents that codify and delegate known optimization procedures. Optimize open-weight models at both the model and inference-engine level — distillation, quantization, speculative decoding, KV-cache and serving-engin

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. Who we are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week. Who

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer, Core Reliability on the Infra Reliability team within Platform , you'll help Coinbase scale 50x by improving reliability, security, and deployment safety across our production environment. This team owns the systems that secure service configurations and secrets, reduce customer-facing incidents, and strengthen deployment infrastructure supporting thousands of services and hundreds of daily releases. You'll lead high-impact reliability projects that make our entire service environment more resilient and safer for customers. What you'll do: Own the design and delivery of reliability projects and features that improve resiliency across Coinbase's service environment in partnership with other engineering teams. Partner with critical T0/T1 services to understand architecture, improve scalability, and reduce operational toil. Build and enhance systems that securely manage service configurations and secrets at scale. Improve canary-based release systems and expand deployment capabilities to support thousands of services and hundreds of daily deployments with fewer incidents. Drive reliability best practices and strengthen reliability culture across engineering teams at Coinbase. Required Skills and Experience: 5+ years of software engineering experience designing, building, and maintaining production services in service-oriented architectures

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s DRAM Design Engineering Group (DDEG) is where bold ideas become real technology. We push the limits of memory and storage innovation, and we thrive in a collaborative environment where engineers learn, build, and solve challenges together. We are driven by curiosity, creativity, and the pursuit of better solutions every day! We are seeking a Principal or Member of Technical Staff (MTS) in Analog Design to join our DRAM IP Design team. As a Principal/ MTS, you will help shape the next generation of Micron's memory products, while working closely with global design, verification, and product teams to bring innovative circuit designs from concept to silicon. Your work will directly influence product performance, quality, and reliability—and contribute to advancements that define the semiconductor industry. Responsibilities: Design, optimize, and verify block‑level analog and mixed-signal circuits for DRAM projects. Work with the internal data science team and EDA vendors to leverage Agentic- AI and improve AI-assisted design flow and circuits optimization. Propose, evaluate and implement new or improved circuit topology to further enhance PPAC of the circuit block. Improve design verification scope and coverage to increase circuit robustness to enhance mass production yield. Partner with global design groups and provide layout guidance through post‑layout simulation. Com

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:

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: We’re seeking a Staff Security Detection Engineer to build and mature SoFi’s machine learning–driven detection and anomaly detection program. You will own the detection and model lifecycle end to end; feature engineering, model training, tuning, and validation, operating over large-scale security data lakes and streaming pipelines. You’ll partner closely with our Security Operations Center (SOC), Security Operations Engineering, and Fraud programs to turn high-volume telemetry into high-confidence, low-noise detections at scale. What you’ll do: Design, build, and maintain machine learning models for anomaly detection (unsupervised clustering, time-series and seasonality baselines, isolation forests, autoencoders, risk scoring) with measurable precision/recall targets. Operationalize models and detections from notebook to production, including enrichment, correlation, and response playbook hooks (detection-as-code, CI/CD, model versioning, and rollback). Engineer and tune features from identity, endpoint, network, cloud, SaaS, and application telemetry stored in the security data lake to improve model signal quality. Partner with the SOC to triage, tune, and close detection feedback loops; use analyst dispositions as labels to retrain and improve models, reduce noise, and document runbo

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are seeking a Staff Vulnerability Management Engineer to lead the most complex technical work in SoFi’s Vulnerability Management program. You will design and build scalable systems that identify, enrich, prioritize, route, and track vulnerabilities across applications, cloud and infrastructure, containers, software supply chains, and specialized hardware or firmware surfaces. This is a hands-on engineering role with broad technical influence: you will write production code, make architecture decisions, establish vulnerability management standards, and improve how teams understand and reduce vulnerability risk. You will partner with Engineering, Infrastructure, SRE, Compliance, Legal, and business stakeholders to accelerate remediation while protecting engineering velocity and customer trust. You will also serve as a senior technical responder for embargoed disclosures and zero-day events, lead root-cause analysis for high-impact vulnerability incidents, and mentor engineers. The ideal candidate combines deep vulnerability management expertise with strong software engineering judgment, systems thinking, and a bias for durable, measurable outcomes. What you’ll do Lead high-complexity vulnerability management initiatives and make architecture decisions for assigned program areas, from detecti

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the role Snowflake’s mission is to mobilize the world’s data as the AI Data Cloud. Our AI & Developer products including CoCo for builders, CoWork for knowledge workers and well our developer tools like Notebooks, Streamlit, and App Runtime are how we put that mission into the daily workflows of developers and data teams. We're looking for a Senior Developer Relations leader to own how builders discover, adopt, and succeed with Snowflake's AI and Developer portfolio, and to build and lead a team of Developer Advocates doing that work. You'll set the developer point of view for an ambiguous, fast-moving product area, manage and grow a team of DAs, and stay technical enough to set the quality bar yourself. What you'll do Own the developer strategy for AI & Developer tools Shape the developer point of view for complex, emerging product areas; anticipate where builders get stuck and align on the adoption path. Connect market shifts, developer behavior, customer demand, and Snowflake strategy to influence product direction. Maintain full awareness of the AI and Developer landscape and be the voice of the developer internally. Set the technical and quality bar Personally produce and review production-quality adoption assets reference apps, quickstarts, demos, deep-d

About the role Chime is looking for an engineering leader to help manage and guide one of the Cards engineering teams within the Spending, Saving & Investing (SSI) organization. SSI is on a mission to make Chime the top choice for everyday spending by building innovative, reliable, and member-first financial tools. We focus on driving active spend and usage, increasing reliability and availability, and delivering seamless, trusted experiences across cards, credit, money movement, saving and investing, deals, and transaction intelligence. Our work empowers members to manage their money with confidence, spend smarter, and improve their long-term financial health. We're hiring Tech Lead Managers (TLM) for multiple squads in Cards. TLMs at Chime manage a team of 3 to 5 engineers: Setting the hiring bar, coaching and developing talent, and driving all formal people management activities. They own execution and delivery for the squad. They stay in the code, authoring and shipping features alongside their team. In this role, you can expect to Manage and develop a squad of 4-5 engineers: Hiring, 1:1s, career coaching, managing for performance Own delivery for your squad end to end, from sprint planning and delivery commitments through service SLAs and operational health Write and ship code alongside your team, authoring pull requests that land in production Be accountable for the squad's technical direction, architecture, and quality bar, either via a tech lead on the squad, or by taking on the tech lead role yourself. Use AI coding agents and tooling to raise both your own leverage and your squad's, and establish the practices that make that durable for the team Partner with Product and Design on scope, prioritization, and quarterly planning, surfacing technical dependencies and capacity needs early Act as the squad's cross-functional point of contact for its technical capabilities and dependency coordination, and carry the "what should we build" conversation if/

About the Role We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory. The team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models. The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems. You’ll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products. What you'll do Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory. Model Releases: Help experiment with and release new models. Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems. Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices. Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team. What We're Looking For Required 2 to 10+ years of experience in software engineering or research. Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems. Experience shaping LLM behavior through prompts, tool and skill design, or memory systems. Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders. Nice to have Recent experience working on modern LLM-driven products. Experience working across teams or with ext

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - United States or Canada About the role We are looking for a Senior Data/ML Engineer to own the data and machine learning foundation that Sardine's compliance decisions run on. Every onboarding decision we make — a payment approved, an account blocked, a KYC case escalated — is the output of a pipeline someone built. This role owns those pipelines end to end: how data arrives, how it becomes a feature, how that feature becomes a model, and how that model stays correct in production. This is a high-impact, highly technical IC role sitting at the intersection

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for an AI Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. RESPONSIBILITIES Build AI-powered data products using machine learning models, large language models, and modern AI tools. Design, train, fine-tune, evaluate, and deploy in-house AI/ML models using proprietary and external datasets. Develop end-to-end model pipelines covering data preparation, feature engineering, training, validation, deployment, and monitoring. Apply generative AI and LLM techniques to use cases such as summarization, classification, knowledge extraction, semantic search, and workflow automation. Work with product, engineering, and business teams to translate business problems into scalable AI solutions. Evaluate and integrate third-party AI tools, APIs, open-source models, and internal models where appropriate. Build data pipelines and model workflows for structured and unstructured data. Define model performance metrics, run experiments, conduct error analysis, and continuously improve model quality. Support production deployment of AI models, ensuring reliability, scalability, governance, and responsible AI usage. REQUIREMENTS PhD in Computer Science, with a specialization in AI or machine learning related domains Strong programming skills in Python and SQL Strong publication record in top tier machine learning conferences 3+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectual curiosity and