Automation Engineer I/II (Contract)

🏢 Summary: Lead the development and validation of IVD reagents and manufacturing processes for molecular diagnostic assays using NGS and cfDNA technologies. The role includes process validation, QC method development, supplier management, and design transfer from R&D to operations in a regulated environment. 🗂️ Requirements: PhD with 8+ years or Master’s with 10+ years in assay/reagent development, 3+ years developing IVD diagnostic tests with NGS cfDNA or multi-omic assay technologies, 2+ years developing reagent specifications and transferring reagent manufacturing processes, Hands-on experience with IVD or LDT reagent development in regulated GxP laboratories, Experience writing protocols, designing experiments, analyzing data, and documenting results, Experience with 21 CFR Part 820 or ISO 13485 compliance, Ability to collaborate across scientific and engineering teams, Experience mentoring and training junior scientists, Ability to work on-site in Palo Alto and travel to reagent manufacturer sites 📃 Skills: NGS, cfDNA, IVD, LDT, GxP, ISO13485, CFR820, MolecularBiology, Biochemistry, Chemistry, Bioinformatics, QC, FMEA, Validation, Multiomics, Immunoassays, Statistics 🏢 Description: DELFI Diagnostics is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI platform is built to address high-burden health challenges. The platform relies on fragmentomics and cell-free DNA (cfDNA) analysis to support early cancer detection. FirstLook Lung is a laboratory-developed screening test for individuals eligible for lung cancer screening and can be part of routine blood work. The test uses millions of data points to identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. About the role Own the IVD reagent development plan execution by developing reagent specifications and manufacturing processes for finished reagents that will be used for DELFI’s molecular diagnostic assays. Lead the Reagent Development and Operations team and be accountable for Process Validation and Design Transfer from R&D to Operations. Define reagent criticality (Key, Ancillary, General Use) for DELFI's IVD molecular diagnostic assays, and develop reagent FMEA to inform testing rigor and change control requirements. Develop and qualify QC test methods for reagent lot release, including method design, acceptance criteria, lot release procedures, and integration with batch manufacturing records. Evaluate Contract Reagent Manufacturers. Be the primary point of contact and be accountable for the completion of process development and the generation of pilot builds for R&D needs by developing various scopes of work (SOWs) and helping implement supplier agreements. Participate in Quality audits. Plan reagent stability to set preliminary expiry specifications required for Verification and Validation activities. Perform rigorous design of experiment, data analysis, and act as subject matter expert by collaborating with assay biostatisticians, bioinformaticians, engineers, and scientists. Develop IVD design documents required for PMA submission under Design Control to meet product development and project milestones. What you'll bring Required - PhD with 8+ years or Master’s with 10+ years industry assay/reagent development with experience in Molecular Biology, Biochemistry, Chemistry, or a similar discipline - 3+ years of developing IVD diagnostic tests with NGS cfDNA/multi-omic assay technologies from plasma under 21 CFR Part 820 or ISO 13485 - 2+ years of experience developing reagent specifications, reagent integrations with automated platforms, and transferring reagent manufacturing from R&D to internal or external manufacturers - Hands-on reagent development experience for IVD or LDT products in a regulated laboratory environment (GxP) - Experience writing protocols, designing experiments, analyzing, and documenting results in reports - Clear communication skills and experience mentoring and training junior scientists and cross-functional stakeholders - Ability to work on-site at the Palo Alto laboratory three to five days a week with periodic travel for audits Preferred - Experience with IVD reagent kitting and reagent interchangeability - Experience developing reagent QC methods and Process Validation for reagent manufacturing - Experience managing R&D relationships and auditing reagent suppliers

🏢 Summary: Senior Software Engineer role focused on test automation and quality engineering for a greenfield clinical diagnostics platform in the healthcare industry. The position involves building scalable automation frameworks, CI/CD pipelines, and quality tooling to support compliant and reliable software delivery. The role also includes defining engineering standards, leveraging AI-assisted development tools, and supporting regulated software processes. 🗂️ Requirements: 8+ years of software engineering experience, Strong test automation and quality engineering expertise, Object-oriented design knowledge, Understanding of SOLID and DRY principles, Experience with concurrency, data structures, and algorithms, Hands-on development experience in Java or TypeScript, Experience building automation frameworks from scratch, Knowledge of API and integration testing, CI/CD pipeline design and maintenance experience, Experience with GitHub Actions or GitLab CI, Experience with AI-assisted development tools, Experience with Docker and containerized environments, Ability to define technical standards, Professional English proficiency 📃 Skills: Java, TypeScript, Docker, Testcontainers, GitHub, GitLab, CI/CD, API, AWS, REST, AI 🏢 Description: About the project You'll join a greenfield project in the medical diagnostics / healthcare industry, focused on building a regulated clinical diagnostic platform supporting first-trimester prenatal screening for trisomy and preeclampsia risk assessment. As a Senior Software Engineer specializing in Test Automation and Quality Engineering, you will help establish the engineering foundations of the platform by developing scalable automation frameworks, quality tooling, and CI/CD solutions that enable fast, reliable, and compliant software delivery. This is a hands-on engineering role with a strong focus on software development, technical leadership, and building solutions that promote quality by design. Responsibilities - Design and develop scalable test automation frameworks and quality engineering tooling. - Build and implement a risk-based testing strategy across unit, integration, API, and critical end-to-end test layers. - Design and optimize CI/CD pipelines to provide fast and reliable feedback through parallel execution, sharding, artifact management, and flaky test detection. - Define and promote engineering standards, testing patterns, and best practices across development teams. - Leverage AI-powered development tools to accelerate test generation, coverage analysis, failure investigation, and test maintenance while maintaining engineering quality and ownership. - Build reproducible containerized test environments using Docker and Testcontainers. - Develop shared quality engineering solutions and internal tooling that can be adopted across multiple product teams. - Support software traceability, auditability, and compliance processes required in a regulated environment. Requirements - 8+ years of professional software engineering experience with a strong focus on test automation and quality engineering. - Strong software engineering fundamentals, including object-oriented design, design patterns, SOLID principles, DRY, concurrency, data structures, and algorithms. - Hands-on experience developing production-grade applications in Java, TypeScript, or another object-oriented programming language. - Proven experience designing and building scalable automation frameworks and internal engineering tools from scratch. - Strong knowledge of test automation architecture, test pyramid principles, API testing, integration testing, and test isolation techniques. - Extensive experience designing and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, or similar platforms. - Experience using AI-assisted software development tools and integrating AI into engineering workflows while ensuring code quality. - Experience building containerized test environments and development infrastructure. - Ability to define technical standards and influence engineering practices across multiple teams. - Professional English proficiency. Nice to have - Experience developing software in regulated industries such as medical devices, healthcare, or pharmaceuticals. - Experience with cloud platforms, especially AWS. - Knowledge of Testcontainers for integration testing. - Experience with contract testing and REST API validation. - Contributions to open-source projects related to testing frameworks or AI developer tooling.

🏢 Summary: Senior verification engineering role focused on developing and leading verification infrastructure for AI accelerator IP blocks and scalable AI/ML computing platforms. The position involves UVM/SystemVerilog-based verification, testbench development, debugging, and cross-functional collaboration with architecture, RTL, compiler, and simulation teams. 🗂️ Requirements: Bachelor's degree with 15+ years, Master's with 13+ years, or PhD with 10+ years of industry experience, Strong SoC or IP verification experience, Testbench development using UVM and SystemVerilog, Programming experience with C/C++, Scripting experience with Perl or Python, Experience verifying complex IP blocks, dies, SoCs, and full systems, Strong RTL understanding and debugging skills, Background in microarchitecture and computer architecture, Ability to work cross-functionally and independently, Excellent communication and interpersonal skills 📃 Skills: UVM, SystemVerilog, C, C++, Perl, Python, RTL, SoC, FPGA, AI, ML, Verification, Emulation 🏢 Description: Advancing the World's Technology Together Our technology solutions power the tools you use every day—including smartphones, electric vehicles, hyperscale data centers, IoT devices, and more. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving complex system-level challenges posed by future AI/ML workloads by designing scalable, high-performance, and energy-efficient platforms. The team collaborates closely with hardware and software engineers to address challenges across memory, computing, interconnect, and AI/ML technologies while researching emerging trends to support future workloads. Location: Daily onsite presence at the San Jose, CA office in alignment with the Flexible Work policy. What You'll Do - Develop the verification infrastructure and automation environment involved in build, simulation, regression, and triages - Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers - Create direct or random testbenches, define verification scope and test plans for both functional and performance validation, and close verification quality metrics - Provide comprehensive documentation of verification strategy and ensure the test environment is easy to use - Mentor junior engineers when necessary - Work cross-functionally in debugging failures with design, compiler, and simulation engineers What You Bring - Bachelor's with 15+ years, Master's with 13+ years, or PhD with 10+ years of industry experience - Strong background in SoC or IP verification and testbench development using UVM, SystemVerilog, C/C++, and scripting languages such as Perl/Python - Experience verifying at multiple levels of logic from complex IP blocks to dies, SoCs, and full system testing - Understanding of RTL and strong debugging skills - Prior experience with computational logic, interconnect networks, and/or memory systems is desirable - Strong background in microarchitecture and computer architecture, preferably in AI accelerators - Knowledge of FPGA and emulation platforms preferred - Strong analytical and problem-solving skills - Excellent communication and interpersonal skills - Ability to work independently and as part of a team - Inclusive and collaborative working style - Curiosity, resilience, and eagerness to learn What We Offer - Competitive compensation with incentive opportunities based on individual and company performance - Medical, Dental, Vision, and 401(k) benefits - Charitable giving match and community involvement opportunities - 4+ weeks of paid time off plus holidays and sick leave - Family support benefits including fertility care, adoption support, medical travel support, and virtual vet care - Emotional wellness support with on-demand apps and confidential therapy sessions - Onsite café, gym, and virtual fitness classes - Flexible work environment Base Pay Range: $189,000—$301,000 USD Equal Opportunity Employment Policy Samsung Semiconductor is committed to fostering an inclusive workplace and providing accommodations throughout the recruiting process for candidates who require support. Our Commitment to Innovation and Fairness AI tools may be used to support recruitment processes, but hiring decisions are made by human recruiting teams and hiring managers. Applicant AI Use Policy Candidates may use AI tools for preparation, grammar, and research, but not for generating submitted content or live interview responses. Trade Secret Notice By submitting an application, candidates agree not to disclose confidential or proprietary information belonging to current or former employers or other entities.

🏢 Summary: Development of cross-platform mobile and desktop applications that extend body-worn and in-car video systems with evidence categorization, tagging, and review features. The role covers full-cycle software development for Android, iOS, and Windows applications integrated with Digital Evidence Management Systems. Responsibilities include implementing, testing, and improving software components using modern cross-platform and native technologies. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field, Minimum 1+ year experience in mobile application development, Proficiency in at least one: Swift, Java, Kotlin, or Dart, Practical experience with cross-platform frameworks (Flutter preferred), Knowledge of design patterns, data structures, and algorithms, Experience with automated testing and CI/CD, Practical experience with Unix-based CLI tools, Proficiency with Git, Knowledge of software testing methodologies, English proficiency for technical communication 📃 Skills: Dart, Flutter, Kotlin, Java, Swift, .NET, C#, Git, CI/CD, Unix, Android, iOS, Windows, REST, HTTP, Gradle, AWS, GCP, Azure 🏢 Description: Every day first responders around the world record thousands of hours of videos and collect other critical digital evidence - essential for transparency, accountability, and ultimately, making the world a safer place. Managing this amount of digital evidence, including documentation and tagging is a tedious and time-consuming task. This is where our applications steps in, streamlining this process and allowing first responders to focus more on their primary mission. Job Description Our team is working on cross-platform applications (Android, iOS and Windows) that extend functionalities of the newest Motorola body-worn cameras and in-car video systems with features like categorization, tagging and review of the footage that allows users to perform evidentiary tasks on the go. By contributing to and complementing our Digital Evidence Management Systems (DEMS), it enables our customers, ranging from law enforcement agencies through government agencies to retailers, to have a resilient evidentiary platform that enables transparency and accountability. Your responsibilities will include design, development, testing, maintenance and improvements of the software running on both mobiles (Android and iOS) and desktop PCs (Windows). Key Responsibilities: Full-cycle software development, encompassing coding, unit, and integration testing, as well as code reviews. Participation in the analysis of new feature requirements and design proposals. Collaboration with cross-functional teams, including QA and UI/UX. Continuous improvement of the development and testing environment. Support in defect analysis and troubleshooting customer-reported issues. Key Technologies Used: Dart/Flutter: Primary language and framework for the application and tests. Kotlin (with some Java) & Swift: Used for the mobile application's native components . .net/C#: Powers a component in the desktop/Windows application variant. Development Environment & Tools: GitHub: Utilized for code repositories, CI/CD, and code reviews. AI Tools: We leverage tools like Cursor and Copilot. Equipment: Development is done on Macbooks, involving daily work with various cameras and prototype hardware. Basic Requirements Bachelor’s degree in Engineering, Computer Science or a related technical discipline, or equivalent experience. At least 1+ years of documented mobile apps programming experience Experience and proficiency in at least one of Swift/Java/Kotlin/Dart languages Experience and practical knowledge of cross-platform frameworks - ideally Flutter - and willingness to continue that journey Solid, practical knowledge of design patterns, data structures, algorithms and software design Knowledge of software engineering best practices including build environments, automated testing and CI/CD Practical experience with Unix-based CLI/shell tools Good knowledge of git tooling Knowledge of software testing methodologies and the testing life cycle English language skills at level allowing efficient communication Bonus points for: ​ Knowledge of C#/.net/JavaScript Expert skills in one the native stacks (Android/iOS/Windows) Understanding HTTP and RESTful designs (familiarity with OpenAPI is an extra plus) Knowledge of digital imaging/photography and audio/video coding Familiarity with basic networking concepts (TCP/IP, DHCP etc.) Experience with WiFi and Bluetooth protocols Knowledge of SSL/TLS protocols, certificates, mutual authentication etc. Knowledge of Gradle build tooling Experience automating manual build and delivery pipelines Prior experience automating end-to-end integration testing for mobile applications Experience with cloud platforms such as AWS, GCP and Azure

🏢 Summary: Development role focused on building and maintaining cross-platform mobile and desktop applications for digital evidence management, supporting body-worn cameras and in-car video systems. The position covers full-cycle software development, including design, coding, testing, and collaboration with QA and UI/UX teams. The goal is to enhance evidentiary workflows through robust, scalable applications on Android, iOS, and Windows. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field, Minimum 3+ years of mobile application development experience, Proficiency in at least one: Swift, Java, Kotlin or Dart, Practical experience with cross-platform frameworks, preferably Flutter, Strong knowledge of design patterns, data structures and algorithms, Experience with build environments, automated testing and CICD, Proficiency with Unix-based CLI tools, Good working knowledge of Git, Understanding of software testing methodologies and lifecycle, Ability to communicate effectively in English 📃 Skills: Dart, Flutter, Kotlin, Swift, Java, C#, NET, GitHub, CICD, Git, Unix, REST, OpenAPI, TCPIP, DHCP, WiFi, Bluetooth, SSL, TLS, Gradle, AWS, GCP, Azure 🏢 Description: Every day, first responders around the world record thousands of hours of videos and collect other critical digital evidence - essential for transparency, accountability, and ultimately, making the world a safer place. Managing this amount of digital evidence, including documentation and tagging is a tedious and time-consuming task. This is where our applications steps in, streamlining this process and allowing first responders to focus more on their primary mission. Our team is working on cross-platform applications (Android, iOS and Windows) that extend functionalities of the newest Motorola body-worn cameras and in-car video systems with features like categorization, tagging and review of the footage that allows users to perform evidentiary tasks on the go. By contributing to and complementing our Digital Evidence Management Systems (DEMS), it enables our customers, ranging from law enforcement agencies through government agencies to retailers, to have a resilient evidentiary platform that enables transparency and accountability. Your responsibilities will include design, development, testing, maintenance and improvements of the software running on both mobiles (Android and iOS) and desktop PCs (Windows). Key Responsibilities: Full-cycle software development, encompassing coding, unit, and integration testing, as well as code reviews. Participation in the analysis of new feature requirements and design proposals. Collaboration with cross-functional teams, including QA and UI/UX. Continuous improvement of the development and testing environment. Support in defect analysis and troubleshooting customer-reported issues. Key Technologies Used: Dart/Flutter: Primary language and framework for the application and tests. Kotlin (with some Java) & Swift: Used for the mobile application's native components . .net/C#: Powers a component in the desktop/Windows application variant. Development Environment & Tools: GitHub: Utilized for code repositories, CI/CD, and code reviews. AI Tools: We leverage tools like Cursor and Copilot. Equipment: Development is done on Macbooks, involving daily work with various cameras and prototype hardware. Basic Requirements Bachelor’s degree in Engineering, Computer Science or a related technical discipline, or equivalent experience. At least 3+ years of documented mobile apps programming experience Experience and proficiency in at least one of Swift/Java/Kotlin/Dart languages Experience and practical knowledge of cross-platform frameworks - ideally Flutter - and willingness to continue that journey Solid, practical knowledge of design patterns, data structures, algorithms and software design Knowledge of software engineering best practices including build environments, automated testing and CI/CD Practical experience with Unix-based CLI/shell tools Good knowledge of git tooling Knowledge of software testing methodologies and the testing life cycle English language skills at level allowing efficient communication Bonus points for: ​ Knowledge of C#/.net/JavaScript Expert skills in one the native stacks (Android/iOS/Windows) Understanding HTTP and RESTful designs (familiarity with OpenAPI is an extra plus) Knowledge of digital imaging/photography and audio/video coding Familiarity with basic networking concepts (TCP/IP, DHCP etc.) Experience with WiFi and Bluetooth protocols Knowledge of SSL/TLS protocols, certificates, mutual authentication etc. Knowledge of Gradle build tooling Experience automating manual build and delivery pipelines Prior experience automating end-to-end integration testing for mobile applications Experience with cloud platforms such as AWS, GCP and Azure

🏢 Summary: Senior verification engineering role focused on AI accelerator IP and SoC verification, developing scalable verification infrastructure, automation, and test environments for next-generation AI/ML computing platforms. The position involves cross-functional collaboration with architects, RTL, compiler, and simulation engineers to validate functionality and performance of complex hardware systems. 🗂️ Requirements: Bachelor’s degree with 10+ years, Master’s degree with 8+ years, or PhD with 5+ years of industry experience, Strong SoC or IP verification experience, Experience with UVM and SystemVerilog testbench development, Proficiency in C/C++, Proficiency in Perl or Python scripting, Experience verifying IP blocks, dies, SoCs, and full systems from scratch, Strong RTL understanding and debugging skills, Background in microarchitecture and computer architecture, Ability to work cross-functionally with engineering teams, Excellent analytical and problem-solving skills 📃 Skills: UVM, SystemVerilog, C, C++, Perl, Python, RTL, SoC, FPGA, AI, ML, Emulation 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do - Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages. - Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers. - Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics. - Provide comprehensive documentation of verification strategy and ensure test environment is easy to use. - Mentor junior engineers when necessary. - Work cross-functionally in debugging failures with design, compiler and simulation engineers. What You Bring - Bachelor's with 10+ years, or Master's with 8+ years, or PhD's with 5+ years of industry experience. - Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python. - Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing. - Understanding RTL and strong overall debugging skills. - Prior experience with computational logic, interconnect networks and/or memory system is desirable. - Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators. - Knowledge of FPGA and emulation platforms preferred. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - You're inclusive, adapting your style to the situation and diverse global norms of our people. - An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. - You're collaborative, building relationships, humbly offering support and openly welcoming approaches. What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. - Charitable giving match and community involvement opportunities. - 4+ weeks of paid time off plus holidays and sick leave. - Fertility care or adoption stipend, medical travel support, and virtual vet care. - On-demand wellness apps and confidential therapy sessions. - Onsite café and gym plus virtual fitness classes. - Flexible work environment. Base Pay Range: $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel. Our Commitment to Innovation and Fairness AI tools may be used in the recruitment process as support tools, but hiring decisions are made by human recruiting teams and hiring managers. Applicant AI Use Policy Candidates may use AI tools for preparation, grammar, and research, but not for generating submitted content or live interview responses. Trade Secret Notice By submitting an application, candidates agree not to disclose confidential or proprietary information belonging to current or former employers or other entities.

🏢 Summary: Leadership role responsible for designing and implementing a comprehensive test automation strategy for a greenfield, cloud-based SaaS platform in the InsurTech domain. The position focuses on building E2E, API, and contract testing frameworks from scratch and integrating them into CI/CD pipelines with clear quality gates. The role offers real impact on testing standards, tools selection, and quality culture within the engineering team. 🗂️ Requirements: Minimum 6-7 years of experience in test automation, Strong practical experience with Playwright, Experience with API testing frameworks, Experience implementing contract testing (e.g. Pact), Experience integrating automated tests into CI/CD pipelines, Ability to define and implement test strategy and quality standards, Experience with high data-volume systems 📃 Skills: Playwright, Pact, API, CI/CD, SaaS, Cloud, E2E, Testing, QA 🏢 Description: Dla naszego klienta poszukujemy kandydatów na stanowisko: Test Automation Lead Projekt: 🚀 Tworzenie od podstaw nowoczesnej, chmurowej platformy SaaS operującej na potężnych wolumenach danych (branża InsurTech / zaawansowana analityka). Nasz klient to firma z Niemiec, budująca środowisko typu greenfield całkowicie wolne od długu technologicznego. Stack technologiczny: 💻 Playwright, Pact (Contract Testing), testy API, CI/CD. Zespół: 👥 5 osób. Wynagrodzenie: 26 000 - 33 000 zł net plus VAT. Model współpracy: 🏢 Hybrydowo (2-3 dni w tygodniu z biura w centrum Warszawy). Start współpracy: 📅 Jak najszybciej (poczekamy na odpowiednią osobę). Zakres obowiązków: 🛠️ Całkowite kształtowanie i wdrażanie strategii testów automatycznych dla całej platformy. Tworzenie i utrzymywanie kompleksowych scenariuszy testów E2E (Playwright) oraz zapewnienie szerokiego pokrycia testami API. Implementacja testów kontraktowych (Pact) zabezpieczających granice poszczególnych serwisów. Integracja wszystkich warstw testowych wewnątrz pipeline'ów CI z jasno zdefiniowanymi bramkami jakości (quality gates). Budowanie kultury "quality-first" w całej organizacji inżynierskiej oraz wyznaczanie standardów testowania od pierwszego dnia. Oczekujemy: ✅ Minimum 6-7 lat doświadczenia w obszarze testów automatycznych. Bardzo dobrej, praktycznej znajomości narzędzia Playwright oraz frameworków do testowania API. Doświadczenia w implementacji testów kontraktowych (np. przy użyciu Pact). Umiejętności płynnego łączenia procesów QA z pipeline'ami CI/CD. Zdolności do samodzielnego definiowania strategii testowej i standardów jakości dla inżynierii. Doświadczenie w pracy z systemami o dużej intensywności przetwarzania danych (np. obszar zaawansowanej analityki, ubezpieczeń) będzie znacznym plusem. Oferujemy: 🌟 Unikalną szansę zbudowania architektury testów od podstaw dla innowacyjnego, chmurowego produktu SaaS. Pracę w modelu hybrydowym z nowoczesnego biura w Warszawie. Realny wpływ na dobór narzędzi i kreowanie procesów bez ograniczeń wynikających z systemów legacy. O nas Next Technology Professionals to wyspecjalizowana agencja rekrutacyjna i firma outsourcingowa o silnym profilu technologicznym. Od ponad 10 lat wspieramy firmy w budowie zespołów IT, AI, Cybersecurity, SAP oraz w rekrutacjach dla finansów, inżynierii i marketingu. Zrealizowaliśmy ponad 1000 skutecznych procesów rekrutacyjnych dla korporacji, scale-upów i dynamicznie rosnących startupów. Przesyłając swoje CV do Next Technology Professionals, trafiasz do starannie wyselekcjonowanej bazy kandydatów realizujących projekty dla wiodących globalnych organizacji. Pracujemy wyłącznie w oparciu o aktualne, konkretne potrzeby klientów. Jeśli Twój profil będzie odpowiadał jednemu z prowadzonych procesów, skontaktujemy się niezwłocznie.

🏢 Summary: The offer is for a QA Automation Engineer working on VMEX, a Digital Evidence Management System used by law enforcement and large organizations to manage video evidence. The role focuses on developing and maintaining automated test scripts, executing functional and non-functional tests, and enhancing QA processes in a cloud-based, mission-critical environment. The position involves working with modern automation tools, CI/CD pipelines, and cloud platforms. 🗂️ Requirements: Bachelor’s degree in Computer Science, Information Technology or equivalent experience, Minimum 2 years of QA experience in Agile environments, At least 1 year of experience with automated testing tools, Experience with CI/CD pipelines, Strong knowledge of software testing methodologies and testing lifecycle 📃 Skills: Playwright, Java, AI, Marionette, Angular, GitLab, GitHub, Azure, AWS, Jenkins, Pipelines, CI/CD 🏢 Description: Digital evidence can be one of the most valuable tools when investigating and prosecuting cases. But the extreme volume, variety and velocity of data have made digital evidence management more complex than ever. It’s time to revolutionize digital evidence management. Join the team developing VMEX, a Digital Evidence Management System (DEMS) that plays a critical role in public safety and organizational efficiency. Job Description Project Overview: VMEX is an advanced platform designed to empower law enforcement and various public and private sector agencies in effectively managing their digital assets. Our primary mission is to provide robust and scalable solutions for managing vast fleets of body-worn and in-car cameras, as well as the crucial video evidence and recordings they generate. Our Client Base: Our product serves a broad range of high-profile clients, including: Law Enforcement Agencies (Police Stations) Large-Scale Retailers Major Government Agencies Working on VMEX means contributing to a high-impact, mission-critical application that supports transparency, accountability, and justice for our global customers. Your main responsibilities will include: Analyzing, developing, designing, and maintaining software automation test scripts for the organization's products and systems. Creating and executing test scenarios to ensure comprehensive functional verification. Introducing and developing Quality Assurance areas, including database testing, API testing, load and performance testing, and security scanning. Assisting in troubleshooting customer issues on live, production systems. We utilize AI assistants in our work. The team is working on the following technology stack: Playwright Java v20 AI: Copilot/Cursor/Windsurf Marionette JS soon Angular Repository: GitLab/ GitHub Cloud: Microsoft Azure, AWS CI/CD automation: Jenkins,  Azure Pipelines, future GitHub Actions HW: HP Zbook, Windows, Bodyworn, and in-car Motorola cameras Basic Requirements Bachelor’s degree in computer science, information technology, or equivalent experience. At least 2+ years of quality assurance experience in Agile Development environments. Minimum 1+ years of experience with automated testing tools or equivalent automation skills. Experience with CI/CD pipelines. Ability to prioritize tasks and quickly adjust in a changing environment. Thorough working knowledge of software testing methodologies and the testing life cycle. Bonus points for: Experience writing automated tests using Playwright. Understanding of cloud service architectures. Experience automating manual build and delivery pipelines. Prior experience automating integration testing in backend applications. In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way.  Also, to reward your work, you’ll get the following: Private medical coverage, Multisport Life insurance (two annual incomes), Employee Stock Purchase Plan – 15% discount for buying Motorola’s Stock units, Employee Pension Plan – 3,5 % of the month’s gross salary, which goes to the retirement account IP Tax Relief (up to 80%) Yearly salary increase (depends on individual performance) Annual bonus (depends on company performance) Flexible working hours (usually the day starts between 7-10), 8 hours working day (30 minutes lunch break included). Hybrid work

🏢 Summary: Senior LLM Systems Performance Engineer role focused on building and analyzing large-scale AI environments, optimizing LLM workloads, and driving hardware–software co-design for next-generation AI platforms. The position involves performance characterization across compute, memory, networking, and accelerator systems using modern AI frameworks and NVIDIA GPU platforms. Daily onsite presence in San Jose, CA is required. 🗂️ Requirements: MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, BS with 5+ years of experience in performance engineering, AI systems, distributed systems, or HPC, Strong understanding of LLM inference and training systems, Strong understanding of NVIDIA GPU architecture and performance characteristics, Hands-on experience profiling and optimizing AI workloads on NVIDIA GPU platforms, Experience analyzing large-scale distributed AI workloads, Proficiency in Python, Proficiency in C++, Experience with modern AI frameworks or serving systems, Strong analytical and problem-solving skills, Ability to work onsite in San Jose, CA 📃 Skills: Python, C++, PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, Megatron-LM, NVIDIA, Nsight, GPU, LLM, HPC 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day—including smartphones, electric vehicles, hyperscale data centers, IoT devices, and more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. The team designs and develops scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. The lab collaborates closely with hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of systems. This role is offered by the STG group within the AGI Lab as part of DSRA. The team works at the intersection of large language models, accelerator hardware, and high-performance software. The mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design. We are seeking a Senior LLM Systems Performance Engineer to build representative AI environments, characterize emerging workloads, and drive performance analysis for next-generation AI platforms. In this role, you will set up and operate realistic LLM serving and agentic AI environments, collect workload traces and performance data, and develop methodologies to characterize workload behavior. Location: Daily onsite presence at the San Jose, CA office in alignment with the Flexible Work policy. Quick Facts What You'll Do - Build and operate representative AI environments, including agentic workflows, distributed inference systems, disaggregated serving architectures, and MoE deployments. - Collect workload traces, telemetry, and performance data from real-world AI applications. - Characterize workload behavior, develop representative benchmarks, and identify performance bottlenecks across compute, memory, communication, and scheduling resources. - Evaluate AI systems across the full hardware and software stack. - Analyze the impact of runtime, memory hierarchy, interconnect, and accelerator architecture on application performance. - Collaborate with hardware and software teams to drive performance analysis, architecture exploration, and hardware–software co-design for next-generation AI platforms. What You Bring - MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - BS with 5+ years of experience in performance engineering, AI systems, distributed systems, high-performance computing, or related areas. - Strong understanding of LLM inference and training systems. - Strong understanding of NVIDIA GPU architecture and performance characteristics. - Hands-on experience profiling and optimizing AI workloads on NVIDIA GPU platforms using Nsight Systems, Nsight Compute, and related frameworks. - Experience analyzing performance of large-scale distributed AI workloads. - Proficiency in Python and C++. - Experience with AI frameworks or serving systems such as PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, or Megatron-LM. - Strong analytical and problem-solving skills. What We Offer - Competitive base pay range: $138,000—$206,000 USD. - Incentive opportunities based on individual and company performance. - Medical, Dental, Vision, and 401(k) benefits. - 4+ weeks of paid time off plus holidays and sick leave. - Family support benefits including fertility care, adoption assistance, and medical travel support. - Emotional wellness support including confidential therapy sessions. - Onsite café and gym with additional virtual wellness classes. - Flexible work environment. Equal Opportunity Employment Policy Samsung Semiconductor is committed to fostering an inclusive and equal opportunity workplace. Our Commitment to Innovation and Fairness AI tools may be used to support the recruitment process, but hiring decisions are made by human recruiters and hiring managers. Applicant AI Use Policy Generative AI tools may not be used to misrepresent candidate qualifications during the application or interview process. Trade Secret Notice By submitting an application, candidates agree not to disclose confidential or proprietary information belonging to current or former employers.

🏢 Summary: Lead Automation Tester role focused on defining and driving test automation strategy while leading a QA team in delivering high-quality solutions for enterprise, API and Big Data systems. The position requires hands-on development of Python-based automation frameworks and integration of testing into CI/CD pipelines. It also involves leveraging AI tools to enhance test design, coverage and efficiency. 🗂️ Requirements: 5+ years of experience in QA automation and test framework development, Proficiency in Python for test automation, Experience with PyTest or Robot Framework, Strong expertise in Selenium and browser automation, Knowledge of HTML, CSS and JavaScript, Experience in API testing using Postman or Requests, Experience in Big Data testing and distributed data validation, Experience integrating automation into CI/CD pipelines (Jenkins or GitLab CI), Proficiency with Azure Cloud, Experience with Git version control, Experience using AI tools for test automation, English level B2 or higher 📃 Skills: Python, PyTest, RobotFramework, Selenium, HTML, CSS, JavaScript, Postman, Requests, BigData, Jenkins, GitLab, Azure, Git, CICD, AI 🏢 Description: We are seeking a Lead Automation Tester with over 5 years of experience to drive test automation strategy and lead a team of QA engineers. This role requires hands-on automation expertise in Python, leadership skills and a focus on delivering high-quality solutions for enterprise applications, APIs and Big Data systems, including the use of AI tools for test preparation and automation script design. Responsibilities Lead the QA automation team, providing technical guidance, mentorship and performance support Design, develop and maintain automated test frameworks using Python, PyTest, Robot Framework or equivalent Oversee test planning, execution and reporting for web, API and Big Data applications Collaborate with development, product and DevOps teams to integrate test automation into CI/CD pipelines such as Jenkins or GitLab CI Ensure consistent use of version control with Git and maintain high-quality automation code standards Conduct code reviews, implement best practices and define automation strategy for new initiatives Leverage AI-assisted tools for test generation, automation script design and efficiency improvements Facilitate risk assessment and defect management to ensure high-quality releases Requirements 5+ years of working experience in QA automation and test framework development Knowledge of Python, PyTest, Robot Framework or equivalent Expertise in browser automation using Selenium and web technologies such as HTML, CSS and JavaScript Deep knowledge of API testing with Postman or Requests library Strong experience with Big Data testing and distributed data validation Proficiency in integrating test automation into CI/CD pipelines using Jenkins or GitLab CI Strong familiarity with Azure Cloud Skills in version control with Git and maintaining automation code standards Background in leveraging AI tools to enhance test design, efficiency and coverage Ability to mentor junior engineers and drive adoption of automation best practices English proficiency at B2 level or higher We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.