Software Engineer Testing Frameworks Jobs

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. About the Department The Infrastructure Engineering team builds and scales Cloudflare’s global network, ensuring high availability, security, and performance across hundreds of cities worldwide. Within Infrastructure Operations, the Hardware Integration group acts as the bridge between engineering designs and physical deployment, overseeing key third-party manufacturing partnerships, hardware quality, and supply chain logistics to keep our expanding foo

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead Business Technology Engineer Location: McLean, VA | Work Model: On-site Are you a technical leader ready to architect, optimize, and scale the mission-critical platforms powering a global pioneer in enterprise transformation? Move beyond daily maintenance to bridge strategic engineering gaps, guide cross-functional teams, and future-proof the complex software layers that enable our global workforce. ABOUT THE TEAM The Appian Business Technology team is the strategic engine driving our internal corporate infrastructure forward. We design, optimize, and scale the enterprise systems that empower Appian employees globally, ensuring our internal operations mirror the high-performance capabilities of our market-leading technology and enable our corporate growth in the automation market. THE OPPORTUNITY This lead role is designed for an elite systems expert who thrives at the intersection of enterprise architecture, AI innovation, and stringent security compliance. At Appian, you will have the autonomy to direct the design and management of multiple complex Google Workspace (GWS) tenants. Including environments built to strict CMMC and FedRAMP requirements. You will pioneer the rollout of cutting-edge GWS AI tools and engineer seamless integrations across our tech stack, all while working face-to-face in a culture that champions collaboration and rapid technical innovation at our corporate headquarters. WHAT YOU'LL DO Multi-Tenant Architecture: Design, configure, and manage multiple complex Google Workspace tenants, ensuring continuous alignment with FedRAM

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Business Technology Engineer Location: McLean, VA | Work Model: On-site Are you a technical leader ready to architect, optimize, and scale the mission-critical platforms powering a global pioneer in enterprise transformation? Move beyond daily maintenance to bridge strategic engineering gaps, guide cross-functional teams, and future-proof the complex software layers that enable our global workforce. ABOUT THE TEAM The Appian Business Technology team is the strategic engine driving our internal corporate infrastructure forward. We design, optimize, and scale the enterprise systems that empower Appian employees globally, ensuring our internal operations mirror the high-performance capabilities of our market-leading technology and enable our corporate growth in the automation market. THE OPPORTUNITY This lead role is designed for an elite systems expert who thrives at the intersection of enterprise architecture and technical execution. At Appian, you will have the autonomy to direct end-to-end system assessments, implement robust configuration and coding solutions, and pioneer methodologies to simulate user interactions before updates reach production—all while working face-to-face in a culture that champions collaboration and rapid technical innovation at our corporate headquarters. WHAT YOU'LL DO Secure Environment & CMMC Management: Manage, govern, and maintain established secure IT enclaves compliant with Cybersecurity Maturity Model Certification (CMMC) and NIST 800-171 frameworks. Ensure ongoing compliance of endpoints, infrastructure, and a

About the Job Lead performance work that turns large-scale AI workloads into faster, more efficient systems. As a Staff AI Performance Engineer, you will analyze and optimize AI training and inference workloads across distributed systems. Your work will connect compute, memory, networking and software behavior. You will lead complex performance workstreams across hardware and software. You will find bottlenecks, validate improvements and turn performance evidence into practical engineering decisions. You will build benchmarks, profile demanding workloads and develop C++ and Python tools for analysis and optimization. Your recommendations will help teams improve efficiency, scalability and reliability. This role gives you broad technical scope across AI infrastructure at data center scale. It is based in Milpitas, California. 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 lead 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 lead technically complex work and coordinate improvements across teams. · Familiarity with MLPerf, a

About the Job Set the performance direction behind large-scale AI systems built for real deployment. As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads. Your work will shape decisions across hardware, software, networking and system architecture. You will lead the hardest performance investigations, from model behavior to multi-node scaling. You will turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities. You will set measurement standards, guide distributed communication strategy and review critical C++ and Python tools. Your judgment will help teams make better decisions when data is incomplete. This role gives you rare influence across AI infrastructure at data center scale. 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 happens through evidence, technical ownership and direct cross-team influence. You will guide strategy, resolve complex tradeoffs and raise performance-engineering standards across the organization. Decisions are shaped by benchmarks, simulations, models and clear technical debate. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Deep experience profiling and optimizing AI, machine learning or high-performance computing workloads at scale. · Proven technical leadership across complex performance-engineering or system-architecture initiatives. · Expert C++ and Python skills, including reliable tools or performance-sensitive software. · Expert understanding of compute, memory, communication and scaling behavior in distributed systems. · Ability to define benchmarks, measurement practices or optimization sta

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

About the Role As a Cloud Platform Engineer at Supabase, you’ll join Cloud Engineering, part of Engineering Operations, and shape the foundations that let engineering teams build, ship, and operate infrastructure safely and independently across AWS and GCP. This is a role spanning cloud governance, platform engineering, and hands-on operations. You’ll work across AWS and GCP account structure, identity and access management, Infrastructure as Code (IaC), reusable platform primitives, security boundaries, and self-service workflows for engineers. You’ll be joining at a point where many of these foundations are being actively defined or reworked. We’re looking for someone who can take ambiguous, messy, business-critical infrastructure problems and turn them into pragmatic systems, tools, standards, and written guidance that scale with the company and empower teams to go faster. What You’ll Be Responsible For Designing and implementing cloud governance across AWS and GCP, including identity, account organization, access controls, and guardrails. Building reusable infrastructure and building blocks using Infrastructure as Code (IaC), enabling teams to provision and manage infrastructure safely and consistently. Creating self-service capabilities that reduce organizational friction and let engineers move more quickly within sensible boundaries. Owning resource governance and visibility: management tagging, a trustworthy inventory of what exists and who owns it, and consistent cross-account billing data. Developing reusable security primitives, including secrets storage, KMS, certificate management, token vending, direct service-to-service authentication, mTLS, and related platform services. Owning cloud-level network and operational primitives: IP address management, DNS, and health signals such as service-limit and quota alerting. Combining software engineering with hands-on operations and total ownership: building, deploying, monitoring, troubleshooting, and improving

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 Sweden About the Role Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact. As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape t

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is hiring an ATE Test Development Engineer who can build sophisticated, scalable test solutions on the Advantest V93000 platform using SmartTest 8, custom code, and low‑level tester APIs. This role is ideal for someone who enjoys writing clean, modular software that directly touches hardware, understands how measurements are supposed to work, and can drive experiments that isolate variables across silicon, instrumentation, and test methodology. You will own the development, debug, datalogging, and optimization of ATE test content for NPI and production, ensuring our devices are thoroughly characterized, efficiently tested, and ready for high‑volume manufacturing. This role is hybrid, b ased out of Austin,TX; Santa Clara,CA; or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You bring 10+ years of experience in ATE test development, semiconductor test engineering, or post-silicon validation. You are proficient with Advantest V93000, SmartTest 8, tester APIs, C++ or Java, and Python automation. You understand ATE instrumentation, including DPS, PMU, RF/HSIO, timing sets, multisite execution, and tester-to-DUT

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 our next Machine Learning Engineer III in Twilio’s Customer Memory Team.. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalized. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into

As a Consultant Systems Support Engineer you will play a vital role in supporting the day-to-day operations of application systems. This role involves actively contributing to incident management and gaining exposure to DevOps practices. Your efforts will contribute to the smooth functioning of systems and you'll have the opportunity to learn and grow while assisting in the delivery of solutions to our clients. Job responsibilities You will work with incident management process and tools. You will use complex application systems and find your way through them to debug a business impacting issue. You will follow standards and best practices to bring operational efficiencies, stability and availability of the system. You will use continuous delivery practices to evolve, support and deliver high-quality software, as well as value to end customers, as early as possible while working in collaborative, value-driven teams to build innovative customer experiences for our clients. You will leverage your knowledge regarding different logging techniques (various levels) and use them for alerting, monitoring and identifying the root cause of incidents. You will derive meaningful reports/key performance indicators and set up alerting and monitoring mechanisms for quicker identification of incidents and response. You will apply the latest technology thinking from our Technology Radar to solve client problems. Job qualifications Technical Skills You have experience working programming languages such as Java and .Net, an understanding of cloud platforms such as AWS, Azure or GCP and scripting languages such as Python and Powershell. You understand how to use debugging tools and how to troubleshoot issues with the code. You have experience working with relational or non-relational databases. You have experience working with CI/CD tools such as Jenkins or Azure pipelines. You have an exposure to application monitoring tools such as DataDog, Prometheus or Grafana . You are comfor

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. Key Responsibilities Design and CAD Enablement Own the development, deployment, and support of scalable CAD tools, automation frameworks, design flows, and methodologies for NAND, DRAM, HBM, SoC, mixed-signal, and other advanced semiconductor products. Develop, improve, and maintain infrastructure for circuit build capture, layout, simulation, characterization, implementation, physical verification, and signoff workflows. Create robust software and scripts using Python, Tcl, SKILL, Shell, Perl, C/C++, Java, Lisp, or related languages to automate engineering workflows, analytics, and quality checks. Evaluate and integrate advanced EDA technologies, AI-assisted engineering solutions, and emerging methodologies to improve productivity, scalability, and silicon quality. Validated ability to demonstrate AI‑assisted (vibe) coding techniques to improve efficiency or automate design and analysis methodologies Leverage AI tools to automate the tools and workflow Applying Artificial Intelligence in workflows to improve build efficiency undefined undefined Lead implementation and signoff activities across physical design, static timing analysis, and design for test for complex digital, memory, SoC, or mixed-signal products. Drive floor planning, power planning, placement, clock tree synthesis, routing, optimization, timing closure, and physical verification to meet power, performance, area, reliability, and sche