Lead Deployment Engineer Jobs

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Nuro Driver is the engineering organization that builds the foundational, end-to-end models powering our autonomous driving system, validates their safety, and makes sure they run efficiently onboard our vehicles. That spans Autonomy, Controls, Systems, and Localization, and the people we hire here define what our technology is capable of. We are looking for a hands-on recruiting manager to build the team behind that. You will lead 4-5 recruiters and personally run the most important searches, from ML and autonomy to systems engineering and beyond. Expect to spend roughly 50% your time directly running critical searches and 50% building and managing the recruiting team. You will work side by side with engineering leaders and a deeply technical co-CEO who all care deeply about talent density and treat recruiting as a core part of how we win. You will have real influence over who joins, a direct line to the people making tho

CSQ128R8 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks te

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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We're looking for a Deal Strategy & Operations Lead to join our growing Deal Strategy & Operations team. This role serves as a critical partner to our EMEA sales organization, enabling efficient deal execution while maintaining pricing integrity and revenue quality. In this role, you'll review and structure non-standard SaaS contracts, evaluate pricing requests, and collaborate cross-functionally with Sales, Finance, and Legal to expedite deal approvals. You'll be responsible for ensuring all deals are accurately configured in our CPQ system, comply with revenue recognition standards, and align with company policies. The ideal candidate brings strong a

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, People technology never stands still, and as a People Systems Engineer, you’ll build what keeps it moving. Reporting to the Senior Director, People Technology, and working alongside our Lead People Systems Engineer, you’ll design, build and maintain the automations, integrations and AI-powered workflows that connect Workday, Greenhouse, Slack and the tools that power our global workforce. You’ll own features from request through tested code, deployment and ongoing reliability across Workato, Google Cloud and Claude. With an AI-forward mindset, you’ll rethink how People work gets done, eliminati

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

About the Job Turn complex AI workload signals into faster, more efficient systems at data center scale. As a Senior AI Performance Engineer, you will analyze and optimize AI training and inference workloads across large-scale distributed systems. Your work will connect compute, memory, communication and software behavior. You will own complex performance investigations from problem definition through validation. You will turn profiling, benchmarking and modeling results into improvements engineers can build from. You will design benchmarks, investigate system bottlenecks and optimize distributed communication software across technologies such as MPI, NCCL, UCX and RDMA. Your work will help Graphcore deliver efficient, reliable AI systems for large-scale deployment. This role gives you rare scope across hardware, software, networking and system architecture. It is based in Austin, Texas. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work moves through evidence, ownership and clear technical judgment. You will define investigations, coordinate across teams and validate impact with reliable performance data. Decisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads. · Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric. · Strong C++ and Python skills, including reliable tools or performance-sensitive software. · Deep understanding of compute, memory and communication behavior in large-scale systems. · Ability to own complex technical work and coo

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: The Senior Solutions Engineer leads the design and delivery of complex employee technology automations and integrations. The role converts agreed architecture and service needs into reliable production solutions that help teams detect issues earlier, resolve appropriate cases safely, and spend more time on high value employee enablement. This individual owns substantial engineering work from technical design through testing, deployment, monitoring, and operational handover. What you’ll be doing: Solution delivery Lead technical design and implementation for defined complex automation or integration initiatives within agreed architecture and security standards. Build and integrate APIs, workflows, scripts, and platform capabilities across employee technology and support systems. Use endpoint and service signals to support detection, validation, approved remediation, exception handling, and outcome recording. Plan and execute testing, deployment, monitoring, rollback, documentation, and operational handover. Platform engineering and integration Design and implement robust integrations across relevant services such as ServiceNow, Moveworks, Jira, Slack, Nexthink, Jamf , Microsoft Intune, Microsoft

About the team The Applied AI Engineering (Codex) team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven Applied AI Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. This role is based in Singapore. 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: Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on

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 Senior/Staff Engineer in CPQE Deviation Management at Micron Technology, Inc., you will have a meaningful role in advancing quality excellence throughout Micron’s global Frontend manufacturing network. The mission of the Central QE organization is to raise Micron’s quality standards through focused collaboration with manufacturing sites, Global Quality teams, and Central partners. Join our driven team and contribute to the pursuit of flawless quality management! Key Responsibilities Lead global quality initiatives to build, implement, and sustain robust deviation management processes and systems. Drive the Issue Tracker SWAT team, deploying Best-Known Methods (BKMs) and standardizing practices across manufacturing sites. Analyze and resolve minor deviations (e.g., yield spread, yield deviation & minor GPSS) by providing data-driven recommendations to improve fab performance. Drive quality improvement efforts, resolving non-conformances and introducing corrective and preventive steps. Continuously improve quality metrics such as $CoNC and %NCD through innovative solutions and system improvements. Form and lead cross-functional task forces to address quality health concerns and improve metric performance across sites. Drive innovative, AI-powered project solutions to optimize efficiency, accelerate problem resolution, and deliver sustained benchmark performance. Set up key Quality program from planning stage and well verse with deployment a

About the team The Monetization team is a new cross-functional group spanning engineering, product, research, and design. We are building the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to create user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen trust, expand economic opportunity, and support OpenAI’s long-term innovation. We believe monetization should deliver clear user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem for developers and businesses. The team operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment. We partner closely across Product, Design, and Research to bring new capabilities into real-world systems at global scale. About the role We’re looking for an experienced Software Engineer to lead the design and development of the systems that turn advertiser feeds (eg. retail feeds, travel feeds etc.) into relevant, reliably delivered ads. In this foundational role, you will build across the full ads lifecycle—from ingesting and organizing retailer or travel catalogs into efficient retrieval systems, supporting ranking models, and serving ads at scale. This role is well suited to an engineer with direct experience in product ads retrieval, ranking, and delivery, along with a strong understanding of merchant feeds and shopping systems such as Google Shopping, YouTube product ads, or Amazon. We also welcome engineers with Senior Staff-level or greater scope who have deep ownership of large-scale catalogs, search and indexing, ads serving, or closely related distributed systems. You will independently own complex systems, make sound technical tradeoffs, and help define the architecture and roadmap for Shopping/Travel/Feed Ads. You will collaborate closely with Ads ML, Ads Delivery, Product, Design, and Research to connect accurate, fresh advertiser

This is Adyen. Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products About the Role The Financial Products org at Adyen is at the forefront of our evolution, building the foundational infrastructure that enables our customers to manage their finances, issue cards, and access credits and financing globally. Adyen is building a Machine Learning Engineering team in San Francisco focused on Credit Risk Modeling for Underwriting within Financial Products. This team will develop the models, scorecards, and production systems that enable Adyen to scale its credit products 100x. We’re looking for an enthusiastic, self-driven Engineering Manager to lead the Credit Risk Modeling team. You will lead the team that design, productionize, and operate machine learning models and rule-based decision systems that power credit products. Your team will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement.. As an Engineering Manager, you will build, mentor, and coach a diverse and talented team of machine learning scientists and data engineers. You should be comfortable streamlining the team's engineering operations, refining product requirements together with product and merchants and encouraging effective collaboration. As a critical role in the continued success of our organization, you will help to itera

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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We make sure Micron DRAM performs where it matters most: inside next-generation servers, client systems, and emerging compute platforms. Our team works at the intersection of memory technology, silicon behavior, platform architecture, firmware interaction, and system-level validation. We partner across engineering fields to bring new memory products from initial platform bring-up through qualification and readiness, helping develop the future of computing. In this role, you will validate Micron DRAM products on cutting-edge compute platforms and play a key role in ensuring system readiness before customer deployment. You will lead complex debug efforts, collaborate with internal teams and external platform partners, and use data-driven analysis to solve challenging technical issues. This hands-on position is ideal for an engineer who enjoys working in the lab, uncovering root causes, and driving issues through resolution. Responsibilities : Lead platform bring-up and system debug across server, client, and emerging compute platforms, including BIOS, firmware, memory training, and system stability Develop and implement memory validation plans to assess performance, compatibility, reliability, and platform readiness Drive failure analysis and root cause investigations, documenting findings, corrective actions, and readiness risks Partner with engineering, product, quality, and program teams to resolve technical issues and support pr