Engineer Senior Jobs

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 Our team owns open-source SDKs that reflect the Stripe API in seven different programming languages. A vast majority of server-side Stripe integrations are built using our open-source SDKs. Our team also owns an in-house code generation framework, which we use to generate not just the SDKs, but the code snippets in our documentation and the commands in Stripe Shell, which is an in-browser version of the Stripe CLI. We are dedicated to providing a world-class experience for developers using our SDKs. We influence how Stripe authors and releases APIs so that SDKs and documentation represent them in a user-friendly way. We want to collaborate with and help our friends in the Stripe community who build and maintain SDKs in programming languages that we don't support. What you’ll do In this role, you'll have an opportunity to shape the experience of developers using Stripe SDKs that power over 80% of the payment volume at Stripe. Be the Golang expert on the team, representing the needs of the Golang community and ensuring we build experiences that are idiomatic Use your Node.js expertise to improve our code generation framework and work toward a future where we open source it to make it easier for third-party Stripe SDK owners to maintain their libraries Collaborate with various Stripe teams to release their APIs in the SDKs and improve the efficiency of the release process Help streamline the API authoring process at Stripe Support our users rea

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 Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork. Key Responsibilities: Design and run experiments to improve Claude's perception and agentic capabilities Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks Build and improve computer use and vision reinforcement learning training environments Create pipelines and tools to test and validate complex RL environments Collaborate with teams across the model training and infrastructure stack to improve our production training setup Partner with product teams to bring research advances into production Minimum Qualifications: Software engineering experience and proficiency in Python Experience training, fine-tuning, or evaluating machine learning models Strong communication skills and a collaborative working style Care about the societal impacts and safety of your work Preferred Qualifications: Experience training models for computer use or other agentic capabilities Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings Familiarity with multimodal model training Experience building evalu

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Applications Engineer 2 About the job Twilio is looking for a Salesforce Developer to join the GTM Automation team. This is a great role for an experienced Salesforce developer looking to work more closely with the business, apply their mastery on the Salesforce platform to deliver impact, and expand the breadth of exposure beyond Salesforce. You will be in the unique position of joining a growing development team that you can learn with and help shape. You are right for this role if you excel at solving multi-faceted problems, managing large volumes of data, and building world-class tools that drive impact. The ideal candidate is able to deeply understand the core business problem being addressed, balance speed and quality, and provide solution alternatives. You are a results-oriented individual who is motivated to tackle complex problems, has a "can do" attitude, and is comfortable asking questions. R

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Fab Engineer at Micron Technology, Inc., you will be working with a team of other process and equipment engineers responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. This position will identify, diagnose and resolve process related problems by applying failure analysis, FMEA, 8D or SPC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives. Responsibilities: Strategize and lead productivity, yield, quality, cost improvement engagement with global sites and network team via process optimization, new/FOAK chemistry & technology qualification, CIP development collaboration with suppliers. Collaborate with cross functional team for breakthrough in defects reduction and particle removal efficiency enhancemen

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Fab Engineer at Micron Technology, Inc., you will be working with a team of other process and equipment engineers responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. This position will identify, diagnose and resolve process related problems by applying failure analysis, FMEA, 8D or SPC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives. Responsibilities Strategize and lead productivity, yield, quality, and cost improvement engagements with global sites and the network team via plasma process optimization, new/FOAK chemistry & hardware qualification , and CIP development collaboration with dry etch suppliers. Collaborate with cross-functional teams to drive breakthroughs in def

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As a Lead Engineer on the Product Catalog Manager Team, you will help set the technical direction for the systems that power Stitch Fix’s product data ecosystem. You will work on the tools, workflows, and data models that support the full product lifecycle, from new style creation and catalog enrichment to product readiness, validation, and downstream product experiences. You will own complex problem spaces from discovery through delivery, translate business and merchandising needs into scalable technical solutions, and lead execution across ambiguous, cross-functional initiatives. This role requires strong technical judgment, deep ownership, clear communication, and the ability to influence partners across Engineering, Product, Merchandising, Data Science, and Operations. Your work will directly impact product data quality, catalog accuracy, merchandising efficiency, product readiness, and the client experience. Responsibilities: Own and evolve critical catalog systems, including product onboarding, attribute management, data enrichment, validation workflows, and product readiness tooling. Design and operate scalable services and data models that ensure product information is accurate, complete, consistent, and available to downstream systems. Drive discovery with Product, Merchandising, Data Science, and Operations partners to identify high-impact problems, evaluate tradeoffs, and define clear technical roadmaps. Independently lead initiatives from concept through production rollout, including tec

Research Engineer, Applied AI Location: Germany About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon. This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better. Key Responsibilities: Algorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity, distillation, speculative decoding, caching strategies, and

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX About the role Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expandin

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Engineer Team As a member of the Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Engineer III, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you’ll own ensuring customers are able to build, assemble context, and integrate AI workflows with Mixpanel. Responsibilities Own onboarding and data health for our strategic and high-value

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp's Dev API team builds the programmatic surfaces that let developers and AI agents read from and write to Ramp. We are an AI-focused platform team making it trivially easy for any engineer at Ramp (or outside it) to ship new capabilities across all surfaces. Our ideal candidate thinks agent-first, has strong opinions on developer experience, and wants to define how software interacts with financial infrastructure at scale. Check out our Engineering Blog for more on our tech stack, mission, and values! What You'll Do Build and operate Ramp's multi-surface platform with a high bar for reliability, correctness, and developer experience across tens of thousands of businesses. Serve thousands of builders and partners using our API, driving a large fraction of Ramp’s revenue, and deliver on a massive business opportunity to embed Ramp everywhere. Build software factories -- autonomous tooling and agents that accelerate endpoint creation, enabling teams across Ramp to ship their own API surfaces. Lead design and execution of complex back

Data Engineer Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We're looking for a Data Engineer to help build scalable data solutions that serve teams across the business—from data scientists and analysts to AI engineers and product teams. You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, cloud-native environment where privacy, security, and good data practices are part of how we build. What you’ll bring to the role Technical Expertise: 3+ years building and shipping production-grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.) Familiarity with cloud-native infrastructure—ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools. We don't expect deep expertise in all of these, but comfort working in this kind of environment matters. Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary. A thoughtful approach to data quality, privacy, and security—you understand that how data is used is as important as how it's moved. Strong collaboration skills and comfort working across teams with different priorities—engineers, data scientists, AI engineers, and product. A pragmatic, curious mindset—you enjoy keeping up with the field and know when to reach for a new tool versus when to stick with what works. Pipeline Management: Hands-on experience with data pipeline tools (Airflow, dbt) and strong ability to optimize for performance and reliability.

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Seoul, South Korea About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption an

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Fab Engineering team supports semiconductor manufacturing by driving process performance, product quality, and operational efficiency. The team partners closely with equipment, quality, and production organizations to enable stable processes, improve yield, and deliver consistent manufacturing outcomes. Join us and make a change! As Principal Engineer for Region E in Central Teams Advanced Development Team, you will own and sustain semiconductor manufacturing integration and processes within the fab. You will solve process and flow issues, analyze performance data, and implement solutions that improve yield, quality, and cycle time. This role plays a direct part in enabling high-volume manufacturing through structured problem solving and multi-functional execution. Responsibilities: Own process performance and drive improvements in yield, quality, and cycle time Troubleshoot manufacturing issues using structured methodologies (e.g., root cause analysis, FMEA, SPC, 8D) Analyze process data to identify trends, gaps, and improvement opportunities Define, monitor, and adjust process parameters across semiconductor manufacturing equipment Partner with cross-functional teams to resolve process excursions and implement corrective actions Support qualification and integration of new equipment, materials, and process changes Drive initiatives focused on yield improvement, cost reduction, and productivity Perform defect anal

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role As a Software Engineer, Services Platform at SpaceXAI, you'll build the platform-level primitives that make it hard for product teams to build brittle systems and easy to build resilient ones. SpaceXAI is scaling fast, hundreds of engineers shipping to millions of developers, and your core focus will be the abstractions that make that sustainable: service provisioning, deploy tooling, workflow orchestration, and defining what it means to own and operate a service at SpaceXAI. You'll work at the intersection of developer experience and production reliability, building the golden pathways that every engineering team runs on. Example projects include... Establishing durable workflow orchestration as a first-class platform: defining best practices, building shared abstractions, and creating the standard that every team uses for reliable, long-running workflows. Designing a declarative service configuration framework that makes it trivial to provision, deploy, and operate new services, so spinning up a new backend goes from days to minutes. Defining the contract for service ownership: what it means to own a service, how services integrate with SpaceXAI's infrastructure