Engineering Group Lead Jobs

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from a diverse group of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience manag

Job Details: Job Description: Are you passionate about computer graphics? Working with leading engineers on Intel's latest GPU architecture? Now is the time to make your education count and work at Intel. As a PEY student, you can contribute to Intel's technology innovation. At Intel, we have a dynamic work environment with a team of experts and unique opportunities for your career development. You can enjoy your work at Intel with managers and colleagues who are eager to mentor you and help you to grow. The Thermal Mechanical group is part of the Platform Design Engineering team and is responsible for thermal, mechanical, and acoustic design & validation of Intel's AI & discrete graphics cards. The team is an essential part of delivering Intel's 3D graphics, media, display GPU, and AI inference technology. We are looking for a highly motivated, passionate individual who would contribute to the design and validation of our next generation of discrete graphics hardware and work with cutting edge design technologies. What You’ll Do Depending on project and team needs, you may have the key responsibilities will include but not limited to: Mechanical, thermal, and acoustic testing of graphics cards. Thermal management firmware validation using Python. Building computer systems and server-grade test setups. Developing scripts to automate test procedures and test reports. Preparing test reports. Mid to high volume dat

Job Details: Job Description: The Role and Impact As a GPU Platform Hardware Design Engineer, you will play a pivotal role in designing and developing high-quality GPU hardware platforms that drive innovation in high-performance computing, graphics, and visualization technologies. You will lead the design process from initial feasibility studies through board layout, tapeout, and platform power-on, ensuring robust functionality and compatibility with industry standards. Your expertise in platform-level requirements, electrical engineering applications, and system bring-up will directly contribute to delivering cutting-edge GPU systems that accelerate Intel's leadership in computing. Business group The Data Center Group (DCG) is dedicated to advancing Intel's role in powering the digital world with leading-edge technologies. Focused on delivering innovative solutions for data center and cloud environments, DCG supports high-performance computing and graphics to enable capabilities such as AI, machine learning, and advanced visualizations. As part of the GPU IP Engineering team within DCG, you'll contribute to developing GPU systems that meet the evolving demands of the industry while supporting Intel's broader mission to create world-changing technology. Key Responsibilities - Design, develop, and evaluate electronic components, PCBs, and integrated circuits for GPU hardware platforms. - Translate platform-level requirements into detailed specifications and ensure adherence throughout the design process. - Define component placement and trace routing rules to optimize board layouts for performance, power, and signal integrity. - Conduct feasibility studies, board layout, tapeout, and platform power-on activities. - Perform functionality tests and utilize tools to verify platform configurations and compatibility. - Research, develop, and validate firmware, hardwa

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Growth team helps people discover, adopt, and become successful on Claude. Product managers, engineers, designers, data scientists and marketers work together as one team across every product and plan: Pro, Max, Team, Enterprise, as well as the API for developers. Growth marketing sits within this unified Growth team, and is responsible for performance marketing, lifecycle, and SEO. We are hiring a Growth Marketing Lead to own and scale our performance marketing efforts. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct customer segments, and own measurable impact from demand creation through customer growth. Key responsibilities Own our global performance marketing channel strategy across all channels, including forecasting, planning, audience targeting, and budget pacing Execute growth campaigns end-to-end across acquisition, activation, and retention, from hypothesis through launch and scale Build campaigns and programs for consumers, developers, and businesses Own self-serve and product-led B2B demand generation for Team, Enterprise and the API, and partner with Enterprise Marketing and GTM on sales-assisted demand Partner closely with Data Science on incrementality, holdouts, attribution, lifetime value and payback Drive experimentation and incrementality measurement, translating results into scalable playbooks across markets, segments, and sales motions Work with Growth Product and Growth Engineering on top-of-funnel experiments, tracking and the marketing stack, so campaigns do not stop at the click Work with Brand, Content and Product Market

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. For more than 45 years, Micron Technology has driven innovation through industry-leading memory and semiconductor solutions. The Design Engineering organization develops advanced silicon-to-systems technologies by bringing together global, diverse teams that foster collaboration, technical excellence, and continuous innovation. As a Design Engineer, you will contribute to the design, simulation, optimization, and validation of memory products across the full product lifecycle. This role partners closely with global design, verification, product engineering, test, process integration, assembly, and marketing teams to deliver high-quality, manufacturable solutions that optimize performance, reliability, cost, and time-to-market. Responsibilities Design, simulate, and optimize digital and analog memory circuits, including memory arrays, control logic, address decoding, datapaths, and internal test circuitry. Perform circuit analysis and debug using industry-standard tools such as SPICE and Verilog, evaluating power, performance, area, and reliability tradeoffs. Analyze layout parasitics, support design rule optimization, and translate device specifications into robust die-level circuit functionality across operating conditions. Support test chip planning, silicon validation, characterization, and lab correlation activities to ensure successful product development. Collaborate with multi-functional teams and leverage Artificial Intelligence and AI-Assisted technologies to identify design improvem

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Riga is a key engineering hub for GoCardless, an important stand-alone hub with over 200 people. All of the core Connectivity group is based there, the team that builds and runs every bank debit and open banking connection we offer, owning the full problem space end to end: build, operate, on-call and incident management, the same way any of our other groups do. We need someone to do three main things: ensure Connectivity delivers as a core group, responsible for all core banking connections and file submissions, managing billions of pounds in submissions every month, work that has to run flawlessly, every day; be the engineering site leader for Riga, working with local leadership to make the office a destination for people; and help advocate for and hire in Riga, working with grassroots training schools and communities to make GoCardless a destination for local talent. What excites you Owning the roadmap - strategically plan our reliability and future delivery with other senior leaders, while prioritising technical investment with a clearly articulated ROI. Shaping

About the Team Ads and Promotions is one of the core features of the DoorDash business which helps our customers access the most quality and affordable selection for their needs. The Consumer Promotion Experience team plays a crucial role within the DoorDash Ads and Promos organization and is responsible for Marketing capabilities of the platform. Our mission is to empower businesses with marketing tools to connect with their customers efficiently by creating best in class advertising solutions serving Restaurants, Brands and DoorDash internal use cases. About the Role As the Engineering Manager, you will oversee a talented group of engineers, collaborating closely with designers, product managers, and sales partners. Your primary responsibility will be driving the successful execution of our product roadmap, ensuring the timely delivery of high-quality solutions that meet both customer needs and business objectives. You will be a key player in fostering a collaborative and cross-functional work environment, promoting effective communication and synergy amongst team members. This role is ideal for a strategic thinker with strong leadership skills who can balance technical excellence with business priorities. You’re excited about this opportunity because you will… Drive strategic impact across the organization, playing a key role in shaping the direction of our product development and influencing the company's overall success Partner with cross-functional stakeholders to define the roadmap and vision for the team and deliver immense impact Lead an outstanding team by coaching engineers, empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards Inspire the team with your technical vision and create the alignment necessary to execute on it Scale the team by recruiting, retaining, and developing highly talented engineers across different disciplines We're excited about you because you have

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify an

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe’s Revenue & Financial Management group is building new products that expand the scope of problems we tackle beyond payments into Revenue Management, Financial Operations and analytics. Right now this includes products like Billing, Invoicing, Revenue Recognition, Reconciliation and the underlying platform for batch and real time processing of large scale financial data to power these solutions. These solutions are going to be key pillars for Stripe’s growing SaaS business and a major revenue stream. What you’ll do We are seeking an experienced engineering manager to lead the team building the foundation for accounting system and user-facing product features that will streamline and automate accrual accounting for Stripe customers. Responsibilities Lead your team of talented engineers to solve data engineering challenges at scale and deliver a high level of technical and operational excellence Collaborate with product managers and talk to directly to customers to drive a high-impact, prioritized roadmap for your team Recruit, coach, mentor, develop, and grow engineers on your team Be deeply involved in launching new product features and capabilities Partner with engineers and product managers across Stripe to ensure your features are integrated into the Stripe suite Contribute to engineering initiatives across the Revenue and Finance Automation (RFA) organization and across Stripe as a member of Stripe’s engineering management

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 . Staff Software Engineer, Fullstack - Finance Engineering Platform (L6) As a Staff Software Engineer on the Finance Engineering Platform team within the Platform group, you'll own the frontend technical direction for the systems that transform trading, payment, and transfer activity into accurate financial records. This team builds the internal control plane where Finance and Accounting teams monitor financial health, investigate reconciliation breaks, and take governed action. You'll turn ambiguous operational problems into cohesive, scalable user experiences and establish the patterns that enable Finance to operate with greater speed, accuracy, and confidence. What you'll do: Own the frontend technical strategy and architecture for financial reconciliation and operations products, including React and TypeScript applications for high-volume financial data, tables, filtering, visualizations, and transaction-level investigation. Lead the design of auditable human-in-the-loop workflows covering validation, approval states, error handling, permissions, and review history. Define end-to-end contracts with backend and API teams so that new data capabilities become reliable, understandable product features. Establish best practices for frontend quality across testing, accessibility, performance, observability, feature management, and safe rollout. Drive the most ambiguous a

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage Set the direction for the framework and extend it to programs it doesn't cover yet Define marketing metrics clearly and get cross-functional teams to agree on definitions early Build and maintain the data models that power marketing reporting Develop dashboards that marketers and executives rely on in their weekly reviews Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve Lead adoption of the framework so that both marketing and execu

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for an Engineering Manager to join our Hyderabad team. In this role, you’ll lead, build, and grow teams of world-class engineers, taking responsibility for their technical execution and impact through ambiguity as we scale. This role is based in our Hyderabad office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing In this role, you will lead a multi-disciplinary team of engineers across various platforms. You will report to a Senior Engineering Manager or Engineering Director, helping to shape the future of our three-sided marketplace. Here’s what your day-to-day might look like: Lead and grow a multi-disciplinary team of Backend, iOS, Android, and Web engineers, fostering a diverse and high-achieving environment. Drive technical and product strategy by setting clear project goals, guiding implementation choices, and ensuring your team hits group-level metrics. Champion a learning culture through active mentorship, helping engineers and emerging leaders accelerate their careers. Scale our engineering practices by implementing processes and values that improve team effi

Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. In this role, you will lead technical delivery for one of Scale's most consequential Public Sector programs, building AI-enabled planning and decision-support capability for major Department of War commands. Partnering with the program's Delivery Lead, you own the technical shape of what we ship: how Scale's products come together, where we extend them, and what we build from scratch. You will also lead a team of Technical Program Managers, coaching them through ambiguous problems and multiplying what the group can take on. You will: Lead and mentor a team of Technical Program Managers who own the program's key technical delivery areas, allocating scope, raising the technical bar, and unblocking them as they interface directly with stakeholders and end users Own the technical shape of what we deliver: whether we are combining Scale's products in the right way, extending them in the right way for this program, and being deliberate about what genuinely warrants a bespoke build Plan and sequence releases alongside engineering, anticipating technical risk early and putting engineering trade-offs in terms stakeholders can decide on Serve as the senior technical voice to program stakeholders and users, translating operational needs into delivery decisions the team can execute against Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space Transition AI/ML technologies and processes into working Public Sector products / solutio

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. A large and growing share of Claude usage reaches customers through our cloud partners: Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. As the Enforcement Operations Lead for Multi-Cloud, you'll own how Anthropic detects, reviews, and acts on misuse across those surfaces, where the partner owns the customer relationship and often the data path. You'll build the operating model, partner agreements, and documentation that make enforcement on every cloud consistent, auditable, and fast. This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams and companies to break new ground and drive work to completion. This work is deeply cross-functional. You'll partner closely with our product managers, policy experts, Safeguards engineering, Legal, and the trust & safety and operations teams across our Cloud partners to maintain a consistent and safe enforcement ecosystem. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. Key responsibilities Own the end to end enforcement lifecycle on partner surfaces, from detection and review through action, customer communication, and appeal Define enforcement paths for each partner's operating model, including how actions are requested, executed, and confirmed when the partner controls the account Manage SLAs fo