Software Engineer Testing Frameworks Jobs

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Lead hardware circuit design, schematic development, and PCB layout review to ensure robust system performance and manufacturability Drive design verification, system bring-up, debugging, and root cause analysis, including RMA failure resolution Own BOM management and support production to ensure smooth transition from NPI to mass production Evaluate and integrate new technologies, components, and platforms to enhance product competitiveness Participate across the full product lifecycle from NPI, MP to EOL Collaborate with cross-functional teams including layout, component engineering, firmware, mechanical, power, thermal, QA, software, PM, ID, and compliance Qualifications Bachelor’s degree or above in Electrical Engineering or a related field 5+ years of hands-on experience in system-level hardware design Experience with networking products such as Ethernet gateway, switch, or NAS platforms Solid understanding of Ethernet technologies including 802.3 PoE (PSE/PD), 1G/10G PHY, and switching or routing fundamentals Experience in hardware validation, debugging, and failure analysis in production environments Familiarity with compliance requirements including ESD, surge protection, and safety standards Proficiency in hardware design tools such as OrCAD Capture, Cadence Allegro, or Mentor PADS Nice to Have Experienc

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 RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training,

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 RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training,

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Senior Software Developer will work closely with Product Manager, Implementation Consultants (ICs) and clients to gather requirements to meet the data analysis need of a company or a client. They must have good collaboration skills. The Senior Software Developer will provide direction on analytics aspects to the team on various analytics related activities. KEY TASKS & RESPONSIBILITIES Experienced in Qlik Sense Architecture design and good knowledge on load script implementation and best practices. Hands on experience in Qlik Sense development, dashboarding, data-modelling and reporting techniques. Experienced in data integration through extracting, transforming, and loading (ETL) data from various sources. Good at Data transformation, the creation of QVD files and set analysis. Data Modelling using Dimensional Modelling, Star schema and Snowflake schema. Strong SQL skills (SQL Server) to validate the Qlik sense dashboards and to work on internal applications. Knowledge on deploying of Qlik Sense application using Qlik Management Console (QMC) is a plus. Work with Implementation consultants (ICs), product manager and clients to gather the requirements. Configuration, migration, and support of Qlik Sense applications. Thoughtful implementation of Qlik Sense best practices for efficiency and re-usability. Research and utilize new technologies. Collaborate with the Software Quality Assurance (SQA) team to test the applications functionality. Ensure compliance with eClinical Solutions/industry quality standards,

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 Principal/MTS Photolithography Process Development Engineer in Micron's R&D Technology Development group, you will lead advanced photolithography process development for next-generation memory devices, driving innovation in process integration and technology transfer across Micron’s global manufacturing network. Key Responsibilities: Lead development and optimization of photolithography processes to achieve yield, quality, and performance targets for advanced technology nodes. Define and translate future device requirements into robust process specifications and equipment roadmaps. Drive early adoption of innovative process and equipment solutions to enhance margin and manufacturability. Identify and integrate disruptive technologies into production flows. Collaborate with global R&D teams and manufacturing sites to ensure seamless technology transfer. Partner with suppliers to accelerate breakthrough solutions and maintain strategic vendor relationships. Implement advanced process control methodologies using statistical tools, DOE, and simulation software. Conduct material evaluations, reticle/layout/OPC development, process window analysis, and overlay optimization. Generate intellectual pro

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: Contribute to the development of new product opportunities by assisting with the overall Verification Activities of DRAM Design Actively leverage AI‑based tools, agentic workflows, and automation frameworks to: Accelerate verification cycle time Assist in Test-Case/TB and various other components required for DRAM Design Verification Improve debug efficiency across simulation and silicon learning loops Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon block level/full chip designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features Develop and maintain test benches / test vectors using simulation tools and run regressions for coverage analysis and improvements using Agentic AI Flow Hands on experience in SV, UVM based Verification. Good scripting skills using perl, python is a plus Good understanding of digital / mixed signal circuits and experience in Digital /Mixed signal Verification. Understand the usage of industry standard tools like Virtuoso, Xcellium, Simvision, vsim, Waveview, Finseim, Hspice and Micron-specific simulators Collaborate with CAD, EDA, and software teams to integrate AI‑driven flows into simulation, verification, and design sign‑off environments and contribute to cross-group communication to work towards standardization and group success About

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: Contribute to the development of new product opportunities by assisting with the overall Verification Activities of DRAM Design Actively leverage AI‑based tools, agentic workflows, and automation frameworks to: Accelerate verification cycle time Assist in Test-Case/TB and various other components required for DRAM Design Verification Improve debug efficiency across simulation and silicon learning loops Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon block level/full chip designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features Develop and maintain test benches / test vectors using simulation tools and run regressions for coverage analysis and improvements using Agentic AI Flow Hands on experience in SV, UVM based Verification. Good scripting skills using perl, python is a plus Good understanding of digital / mixed signal circuits and experience in Digital /Mixed signal Verification. Understand the usage of industry standard tools like Virtuoso, Xcellium, Simvision, vsim, Waveview, Finseim, Hspice and Micron-specific simulators Collaborate with CAD, EDA, and software teams to integrate AI‑driven flows into simulation, verification, and design sign‑off environments and contribute to cross-group communication to work towards standardization and group success About M

The Team This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. The ideal candidate should Have 5+ years of experience running critical systems at scale Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”) Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment A strong understanding of how to run a large scale Linux environment, including low level fundamentals Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python) Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc) Special Requirements: Be a US Citizen Expectations Participate in the development of a reliable and resilient multi-cloud platform that hosts business critic

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? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipeli

CAPCO POLAND We offer a flexible collaboration model based on a B2B contract. At Capco Poland, we're not just another consultancy – we're the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Engagement Overview As a GenAI Developer, you will provide services related to the design, development, and deployment of scalable AI-powered applications using Large Language Models. Collaborating with cross-functional Agile teams, you will deliver production-ready solutions integrated into enterprise environments, helping clients unlock value from Generative AI. This engagement is well suited to professionals passionate about GenAI who enjoy combining strong backend and cloud expertise with modern AI capabilities. What You’ll Do Design, build, and deploy AI applications leveraging LLMs Develop scalable solutions using GCP services (Vertex AI, BigQuery, Cloud Run / Functions) Integrate LLM APIs (e.g. OpenAI, Vertex AI) into enterprise systems Design and implement RAG architectures Apply prompt engineering techniques to optimize model performance Build and maintain REST APIs and microservices Collaborate with cross-functional teams including data, backend, and business stakeholders Deliver high-quality solutions in agile, client-facing environments What We’re Looking For 3–6 years of experience in software development Strong hands-on experience with Python Experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Run / Functions) Practical experience working with LLM APIs (OpenAI, Vertex AI, etc.) Understanding of prompt engineering and RAG architectures Experience building REST APIs and microservices Strong communication skills and ability to work in a consulting environment Nice to Have Experience with LangChain or LlamaIndex Knowledge of embeddings and vector searc

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are the Waferless Metrology team within Micron’s Metrology organization, supporting advanced semiconductor manufacturing using inspection guided by design software. We are a small, highly engaged group that values precision, speed, and practical problem solving. Our work directly impacts yield, cycle time, and manufacturing confidence! This role plays a key part in enabling waferless, non-contact metrology for advanced processes. You will translate design data into reliable, production-ready recipes that support both high-volume manufacturing and R&D. The work is collaborative, detail-focused, and performed onsite without cleanroom requirements. Responsibilities: Develop and validate waferless metrology recipes using CAD data Translate CAD designs into measurement locations and alignment strategies Partner with process, yield, and equipment teams to define inspection targets Automate and support recipe generation for manufacturing and R&D Analyze metrology results and resolve recipe execution issues Minimum Qualifications: Bachelor’s degree in engineering, physics, materials science, or equivalent practical experience 2+ years of experience in semiconductor metrology, process engineering, or CAD-based recipe development Experience with CAD tools and metrology platforms such as SEM or CD-SEM Strong analytical and problem-solving skills Preferred Qualifi

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. At Ubiquiti, pre-sales engineering is not a support function—it’s a strategic lever. You’ll work at the intersection of customers, partners, and product, helping define how modern IT infrastructure is designed, deployed, and scaled. The Role We’re looking for a Pre-Sales Engineer who thrives in ambiguity, thinks in systems, and enjoys turning complex, real-world problems into simple, scalable solutions. You’ll work across Ubiquiti’s expanding ecosystem—including routing, switching, security, SD-WAN, cameras, and access control—partnering with enterprise customers, MSPs, and internal teams to design architectures and influence product direction. This is not a traditional, script-driven sales engineering role. You’ll be expected to operate with autonomy, challenge assumptions, and contribute to how UniFi evolves—not just how it’s sold. What You'll Do Own problem discovery and design scalable solutions across networking and physical security, even when requirements are unclear Create presentations, demos, and training content that translate complex systems into clear, compelling narratives Translate customer and partner needs into structured, actionable feedback that informs product direction Scale the Partner Program by onboarding new MSPs/SIs and growing existing partners through repeatable, high-quality deployments Support

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer at GitLab, you will help build the core capabilities of our dedicated software supply chain security Add-On. This commercial offering helps organizations control what software enters their builds, verify the integrity of what they ship, and identify malicious packages before they reach production. You will work across a set of connected backend systems that support package policy enforcement, artifact signing and verification, provenance attestation, and malicious package intelligence. This is a founding role on a small team with a high level of responsibility. The engineering

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 Location: Netherlands (remote) 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 prod

Come build what the market has been missing. Octaura is a technology company transforming how some of the world’s largest, least digitized markets operate. In loans and CLOs, trillions of dollars still move through phones, emails, and PDFs because the right infrastructure hasn’t existed — until now. We’re applying AI, real-time data, and modern software design to asset classes long overlooked by fintech. Our platforms turn fragmented information into intelligence, manual workflows into automation, and legacy conventions into scalable market infrastructure. You’ll join a high-impact, collaborative team building the systems these markets need to become more transparent, efficient, and connected. The role in a nutshell The Platform Support Engineer will join Octaura’s Platform Support team to maintain and support the CLO and Loans trading system and other internal applications. They are responsible for ensuring the high levels of availability of the production, demonstration and test systems. They will work in a high-pressure mission critical production environment. The candidate will play a key role in the resolution of any problems in the system in a timely and professional manner. To be successful in this role, the Platform Support Engineer is expected to proactively learn and understand Octaura’s business needs, and develop or implement solutions to meet those needs. To that end, the Platform Support Engineer is expected to demonstrate a proven ability to problem-solve and multi-task. Flexibility is a must, as the schedule may include occasional late night or weekend duties. This is an exciting time for Octaura as we are rapidly growing and are looking for energetic, collaborative and driven thinkers to join us! Please note this role is based out of our NYC office and our current structure is 4 days (Mon-Thurs) in the office, 1 day from home. Desired experience Bachelor’s degree or equivalent w