Software Engineer Testing Frameworks Jobs

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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do: Customer-facing: 30% working directly with customers. Coding & Integration: 70-80% hands-on technical implementation Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent ac

About the Role As a Forward Engineer at Metis, you’ll be part of a tight-knit, product-driven team leveraging our training platform to deliver outcomes for customers. You’ll work across the stack, from low-level systems to user-facing features, to deliver resilient, high-performance products that power mission-critical AI workflows. You’ll own projects end-to-end, collaborate deeply with platform, research, and customers to make pragmatic technical decisions that tie directly to customer outcomes. We move fast, but we hold a very high bar for correctness, maintainability, and simplicity. You’ll be expected to write production-grade code, reason holistically about systems, and push the boundaries of what’s possible in applied AI engineering. What You'll Do Translate research prototypes into production systems that enterprises and labs can reliably adopt Collaborate with platform, product and research teams to ship features under real customer constraints Write clean, testable code in modern languages while leveraging AI tools to accelerate development Debug complex systems, identify bottlenecks, and drive performance, security, and reliability improvements Requirements Strong fundamentals in at least one modern language (Python, Go, Rust, etc.) Experience with backend systems, distributed computing, or high-volume services Strong communication abilities with a high bar for customer interaction Ability to turn ambiguous product asks into simple, pragmatic solutions Familiarity with system design, software engineering best practices, and debugging in production environments Comfortable working across the stack — from APIs and orchestration to user-facing surfaces Compensation & Benefits Base: $150,000–$450,000 Significant Equity Full medical, dental, and vision Wellness & L&D stipend Equinox membership Breakfast, lunch, and dinner provided (Unlimited Doordash) $25,000 housing stipend About Metis Metis helps enterprises and labs build the most reliable AI ag

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. Join Tenstorrent’s AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You’ll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid , based in Cyprus. 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 Bring up, run, and debug modern ML models (e.g., transformers) using PyTorch or TensorFlow. Analyze model behavior and performance, and identify bottlenecks across the stack. Improve efficiency, correctness, and scalability of model execution in real systems. Work closely with compiler, kernel, and hardware teams to drive performance and system-level improvements. Help translate state-of-the-art model architectures into production-grade, high-performance deployments. What We Need Strong experience building and working with ML models in PyTorch or TensorFlow. Strong understanding of mod

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Our company website is the centerpiece of our brand — the public source of truth about Fin's products and the number one driver of leads for our demand generation team. Fin.ai sits at the intersection of awareness, product marketing, demand, and support , requiring robust, performant, and reliable infrastructure as much as polished user-facing interfaces. We’re looking for a Senior Full Stack Engineer to join Team Web , who is passionate about crafting intuitive front-end experiences and building the backend systems and tools that power them. You’ll play a key role in shaping the future of our website across the full stack, from UI to infrastructure, while collaborating with product marketers, designers, and engineers across the business. See the teams most recent work here What will I be doing? Design, build, and maintain end-to-end web solutions — from modern UIs to backend services, APIs, and infrastructure. Collaborate with design, brand, marketing, and conten

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Our company website is the centerpiece of our brand — the public source of truth about Fin's products and the number one driver of leads for our demand generation team. Fin.ai sits at the intersection of awareness, product marketing, demand, and support , requiring robust, performant, and reliable infrastructure as much as polished user-facing interfaces. We’re looking for a Senior Full Stack Engineer to join Team Web , who is passionate about crafting intuitive front-end experiences and building the backend systems and tools that power them. You’ll play a key role in shaping the future of our website across the full stack, from UI to infrastructure, while collaborating with product marketers, designers, and engineers across the business. See the teams most recent work here What will I be doing? Design, build, and maintain end-to-end web solutions — from modern UIs to backend services, APIs, and infrastructure. Collaborate with design, brand, marketing, and

About Us Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. Your role We're seeking a Web Engineer II for our team. As a Web Engineer, you will play a critical role in developing and enhancing our Frontend applications. Drawing on your strong background in backend development and web technology, you will be tasked with building and maintaining sophisticated backend APIs and services. Your efforts will be vital to providing unmatched and unique advertising experiences, setting a standard in user engagement that distinguishes Tamara. With a solid track record of crafting complex backend systems, you will integrate into our Agile team to develop robust and scalable backend services. These services are crucial in supporting our dynamic frontend and mobile applications and our comprehensive financing solutions, ultimately transforming how millions of users worldwide interact with shopping, payment, and banking platforms. Your responsibilities Lead and drive Agile methodologies within the team, ensuring adherence to the Scrum framework. Mentor team members through all phases of the software development lifecycle, from planning and design to deployment and maintenance. Collaborate closely with the Product team to deeply understand requirements and translate them into functional, efficient, and high-quality frontend code. Partner with Backend, Mobile, and QA engineers to ensure seamless backend integration and functionality with other software ecosystem components. This includes coordinating developmen

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. 勤務地：東京 Tenstorrentでは、AIサーバーおよび関連インフラの安定運用を支える Support Engineer. AI Infrastructure を募集しています。 本ポジションでは、GPUクラスタ、ストレージ、ネットワーク機器を含むシステムの保守・障害対応・予防保守を担当し、社内外の関係者と連携しながら、高可用性なAIインフラ環境の維持に貢献していただきます。 Who You Are ハードウェア保守・障害対応に強みを持ち、現場での迅速な切り分けと対応ができる方 顧客現場やデータセンター環境でのサポート業務を主体的に進められる方 Linuxサーバー、GPUサーバー、ネットワーク機器に関する基本的な知識と実務経験をお持ちの方 インシデント発生時にも冷静に状況を整理し、適切にエスカレーションできる方 国内外の関係者と協力しながら、正確で丁寧なコミュニケーションができる方 実務を通してAIインフラや高性能コンピューティング環境への理解を深めたい方 What We Need AIサーバーおよび関連システム（GPUクラスタ、ストレージ、ネットワーク機器等）の保守・点検・障害対応 サーバー障害時の一次切り分け、オンサイト修理、部品交換 NOC（Network Operations Center）やリモート監視ツールを用いた稼働状況の監視およびログ分析 トラブル発生時のインシデントレポート作成と関係者への報告 ファームウェア、BIOS、ドライバの更新対応 顧客向け定期点検および予防保守の計画・実施 エンジニアリング部門およびサポート部門と連携したエスカレーション対応 保守用在庫の管理、交換部品の配送調整 現場導入支援、設置・移設作業への立ち会いおよび主導 日本語および英語能力 Required Qualifications x86サーバー、もしくはにGPUサーバーの保守経験 ハードウェア障害の切り分けスキル（電源、メモリ、ストレージ、PCIe、GPU等） Linux環境（Ubuntu、RHEL、CentOS等）での操作経験 基本的なネットワーク知識（L2/L3、TCP/IP、DHCP、IPMI） 顧客現場での技術サポート経験、またはオンサイト対応経験 障害対応や保守作業に関するドキュメント作成経験 IPMItool、smartctl、nvidia-smi等の診断ツール使用経験 英語マニュアルの読解力、および海外サポート窓口とのやり取り経験 英会話能力（エンジニア間でのQ&Aが可能なレベル Nice to Have NVIDIA GPUサーバー（DGX、HGX等）やSupermicro、Inspur、Lambda等のハードウェア取り扱い経験 Ethernet、InfiniBand、NVLink、PCIeスイッチに関する知識 データセンターでの運用・保守経験 GPUベースのディープラーニングやAIワークロードに関する基礎知識 Linux shellスクリプトによる簡易自動化経験 普通自動車運転免許 英語での交渉能力および詳細なテクニカルコミュニケ~ションが可能 What You Will Learn 最先端のAIサーバーおよび高性能コンピューティング環

About Navier AI Navier AI is building the first autonomous engineering agents. AI systems that can design, simulate, and optimize complex products to achieve breakthrough levels of performance. Our mission is to enable engineers to move beyond today’s slow, manual design cycles by providing agents that reason about physics, explore design trade-offs, and generate high-performance solutions across aerospace, automotive, and advanced manufacturing. We’re backed by top-tier investors and work directly with industry leaders to deploy AI-native tools that go far beyond today’s design automation. Role Overview We’re hiring a Backend Engineer to help build the infrastructure behind our autonomous engineering agents. You’ll work across model serving, simulation orchestration, multi-agent coordination, and developer-facing APIs. This role is critical to delivering fast, reliable, and scalable systems that engineers can trust in production design environments. Responsibilities Own core backend systems for serving AI agents and managing their compute, data, and model coordination Design and implement APIs that expose agent functionality—simulation control, CAD operations, optimization workflows—to internal tools and customer integrations Build secure, scalable infrastructure for multi-agent orchestration, including support for containerized workloads, caching, and distributed compute Collaborate closely with ML, frontend, and simulation engineers to create a cohesive, performant product experience Integrate external tools such as CAD software, simulation backends (e.g., OpenFOAM), and data stores into our pipeline Support agent development workflows, including tooling for versioning, introspection, and reproducibility Contribute to infrastructure decisions that will shape the technical foundation of our platform as it scales Engage directly with early customers to support integration, identify infrastructure needs, and gather feedback Qualifications Required: Strong backend en

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 or Seattle, WA About the Role Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive s

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; Seattle, WA or London, UK About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems

The Agent Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scie

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re looking for experienced engineers who have shipped applied AI systems to production and want to define what the agent-native future looks like. We are building intelligence into the core of Linear, enabling the product to orchestrate coding, proactively move work forward, and power-up every software team. You’ll work closely with product and design to transform foundation models into structured, reliable workflows embedded deeply in the core of Linear. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Build AI-powered product features that feel native, fast, and delightful to use Work with product and design to prototype and iterate on intelligent workflows and user interactions Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more Optimize prompts, fine-tune model behavior, and evaluate performance Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re looking for experienced engineers who have shipped applied AI systems to production and want to define what the agent-native future looks like. We are building intelligence into the core of Linear, enabling the product to orchestrate coding, proactively move work forward, and power-up every software team. You’ll work closely with product and design to transform foundation models into structured, reliable workflows embedded deeply in the core of Linear. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Build AI-powered product features that feel native, fast, and delightful to use Work with product and design to prototype and iterate on intelligent workflows and user interactions Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more Optimize prompts, fine-tune model behavior, and evaluate performance Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience

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. We’re looking for a Timing Engineer to join our silicon team. In this role, you’ll drive static timing analysis and closure for complex, high-performance designs. You’ll collaborate closely with logic, DFT, and physical design teams to debug constraints, optimize paths, and ensure our chips meet performance targets across corners and modes. This role is hybrid , based out of Austin, TX, Fort Collins, CO, or Santa Clara, CA . 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 Experienced in STA and passionate about enabling silicon to meet aggressive performance goals. Analytical and detail-oriented, with a strong understanding of timing paths, constraints, and optimization strategies. A collaborative team player who works well across logic, DFT, and physical design boundaries. Resourceful and self-driven, capable of developing scripts and methodologies that improve timing closure workflows. What We Need 7+ years of industry experience and a proven record of successful tapeouts. Deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis. Proficiency in writing and debugging SDC constraints, creating ECOs, and