We are PUBG, the global battle royale phenomenon! After the release of our flagship title in 2017 we have become one of the highest selling games of all time with over 75 million copies sold – that’s a lot of Chicken Dinners! And that's only the beginning: PUBG Madison is developing an exciting new IP that aims to push the shooter genre forward. Our state-of-the art studio and brand-new motion capture studio are in the heart of Madison, WI, a city frequently named the best place to live in the US for its vibrant culture, natural beauty, and outstanding, innovative educational institutions. PUBG Madison has been named a Top Workplace in 2025 and 2026 for our positive, strong company culture. Experience the perfect balance of urban excitement and natural tranquility in a city with more than 200 miles of hiking and biking trails, an incredible downtown farmer’s market, and family-friendly neighborhoods. ||This role is open to remote work for those located in the United States or Canada, although preference is given to those who are willing to relocate/live locally.|| This is a six-month fixed term full-time position with benefits. The person we’re looking for: PUBG Madison is seeking a Gameplay Engineer to take on a high impact role deepening animation systems and player movement in our next project. As a Gameplay Engineer you will contribute to the success of new IP by developing core gameplay systems. Gameplay programmers are given a large amount of autonomy in feature ownership, and are expected to collaborate with Design, Animation, Production, and Art stakeholders in order to bring the CD’s vision to life. You will continuously create, improve, and optimize systems in an iterative environment. This position reports to the Gameplay Technical Director. Responsibilities: - Architect gameplay systems that are pragmatic, performant, and fun. - Work with the Technical Director to develop strategies and process to support engineering initiatives. - Collaborate with other development units in a distributed studio environment. - Develop in both a native C++ and UE4 Blueprints. - Openly communicate with management and production about the scope and progress of tasks. - Proactively support the success of other team members by providing technical guidance, participating in code reviews, and mentoring junior team members. A typical day may include: - Attend a cross-discipline stand-up with other developers. - Code and test as part of development. - Participate in a studio-wide play test. - Review code changes from other engineers. - Discuss ideas, improvements, or issues with other engineers, designers, and artists. - Provide support to other engineers via paired programming. Qualifications: - Bring a passion for games and gaming. - Demonstrable experience writing gameplay code in a AAA development environment. - An emphasis on creating core gameplay systems with expertise in one of the following areas (preferred): AI, Animation, Multiplayer, Physics, UI, Analytics, etc. - An ability to push features forward in a collaborative and iterative way. - Excellent knowledge of C++. - Strong 3d math skills. - Strong communication skills. - Experience with client and server-side networking. What We Offer: - A highly competitive total compensation package - Comprehensive employer funded healthcare – ensuring you pay nothing out of pocket for in-network medical care - Employer-paid premiums for dental, vision, short & long-term disability, life insurance, and AD&D insurance - Generous time off including 20 days of prorated PTO, 12 paid holidays and a studio-wide holiday break annually - Generous annual sick leave days to prioritize your well-being - Annual health & wellness, video game, and continuing education reimbursements - Industry-leading family planning and fertility care benefits, including gender-affirming care, through Carrot Fertility - Enjoy free catered lunches, meal reimbursements, and snacks and beverages for in office staff - Engage in regular team outings and events to foster a positive work culture - 401K with a company match for your financial well-being PUBG Studios provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are seeking a Delivery Engineer to own and evolve the end-to-end engineering feedback loop—connecting development, testing, deployment, and production signals into a continuously improving system. This role goes beyond traditional QA or DevOps. You will design and operate the systems that determine how safely, quickly, and reliably we deliver software, while ensuring that every production signal feeds back into better engineering decisions. The ideal candidate is a systems thinker who understands that quality is not a phase—it is an emergent property of a well-designed delivery system. Responsibilities Engineering Feedback Loop Ownership - Design, own, and evolve the end-to-end software delivery system - Ensure production signals (failures, latency, usage patterns) are continuously fed back into development and testing practices - Establish systems that improve both speed (velocity) and safety (reliability) Delivery and Release Strategy - Design and implement progressive delivery strategies: - Feature flags - Canary releases - Rolling/segmented deployments - Define and enforce risk-based release practices - Continuously reduce change failure rate while increasing deployment frequency CI/CD and Automation - Own and evolve CI/CD pipelines (GitHub Actions, AWS) - Build intelligent automation that prioritizes signal quality over volume - Optimize pipelines for speed, reliability, and developer experience  Quality Engineering - Build and maintain automated testing systems (Playwright, API, integration) - Shift quality left (pre-merge validation, static analysis) and right (production validation) - Ensure tests reflect real-world failure modes, not just happy paths  Observability and Production Intelligence - Implement and evolve observability systems (New Relic or equivalent) - Identify failure patterns, regressions, and performance anomalies - Turn production data into actionable engineering insights, not just dashboards - Reduce Mean Time to Recovery (MTTR) through improved detection and response systems  Metrics and Continuous Improvement - Define, track, and improve key delivery metrics: - Deployment Frequency - Lead Time for Changes - Change Failure Rate - Mean Time to Recovery (MTTR) - Use metrics to drive system-level improvements, not vanity reporting AI-Assisted Engineering(Core Responsibility) - Lead adoption of AI-assisted engineering practices across: - Test generation - CI/CD optimization - Failure triage and debugging - Improve the signal-to-noise ratio of engineering feedback loops using AI - Partner with engineering teams to integrate AI into daily workflows Cross Team Influence - Define and standardize quality, reliability, and delivery practices across teams - Partner with QA, SRE, and product engineering to elevate system-wide outcomes - Act as a force multiplier, improving how all engineers ship software

• Design, develop, and maintain data pipelines using Databricks and related technologies • Build and optimize ETL/ELT processes for large-scale data processing • Work with structured and unstructured data across multiple data sources • Develop and manage data models to support analytics and reporting requirements • Collaborate with stakeholders including data analysts, developers, and business teams to understand data needs • Ensure data quality, integrity, and governance across data platforms • Monitor and troubleshoot data workflows and performance issues • Contribute to continuous improvement of data engineering practices and standards

Title: AI Engineer (North Carolina) Location: Remote North Carolina United States of America Full time Remote The Clinical Research Group (CRG) of Thermo Fisher Scientific delivers industry-leading clinical trial services to pharmaceutical, biotechnology, and medical device organizations. CRG Digital is an enterprise-wide digital function dedicated to accelerating CRG’s transformation into the most digitally enabled CRO in the industry. CRG Digital leads the strategy, governance, development, and lifecycle management of digital, data, and AI products across the organization. Our mission is to power clinical development with modern digital capabilities, improving operational efficiency, enhancing customer experience, unlocking insights from data, and enabling next-generation clinical innovation. Position Summary We are seeking a highly motivated AI Engineer to help design, build, deploy, and optimize AI solutions that advance CRG’s digital strategy. In this role, you will design, implement, and optimize AI models that support data analysis, automation, and innovation within clinical research and development operations. You’ll collaborate with data scientists, software engineers, and domain experts to translate business needs into scalable, intelligent solutions. The ideal candidate will be proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI. Proven experience with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques. Strong knowledge in technical areas such as SQL, Python, Spark, Jupyter, and associated packages and libraries, specifically tailored to Generative AI. This is a remote position in North Carolina. Responsibilities: AI and Machine Learning Development - Design, develop, and deploy machine learning and generative AI models to support CRG Digital priorities including predictive analytics, text/NLP solutions, automation, and intelligent decision support. - Apply statistics, programming, data modeling, simulation, and advanced mathematics to business problems. - Evaluate and optimize model performance using appropriate validation metrics and techniques. - Build reusable model pipelines, APIs, and components for scalable AI product deployment. Data Engineering and Data Management - Preprocess, clean, transform, and integrate structured and unstructured datasets from clinical and operational sources. - Build and maintain ETL/data workflows that support ML and generative AI workloads. - Work with relational, document, columnar, graph, and object store systems; design schemas for AI and analytics use cases. - Ensure data quality, reproducibility, lineage, and governance compliance. Digital Product Integration and Lifecycle Management - Collaborate with software engineering and platform teams to integrate AI models into production systems with appropriate monitoring and observability. - Support documentation, traceability, and regulatory readiness (e.g., auditability, GxP considerations). - Contribute to CRG Digital’s product development lifecycle including discovery, prototyping, testing, deployment, and iteration. Innovation, Partnerships, and Enablement - Stay current on emerging AI and ML technologies, evaluating opportunities for CRG Digital roadmaps. - Contribute to an innovative ecosystem involving external partners and technology collaborators. - Support internal digital and AI upskilling through documentation, best practices, and knowledge sharing. Tools, Technologies, and Platforms Programming: Python, SQL, Spark Libraries and Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, LangChain/LangGraph, OpenAI/other LLM SDKs Data Tools: Pandas, NumPy, Jupyter Cloud and Platforms: Databricks, AWS, Azure GCP; S3 or Azure Blob Storage Version Control: Git/GitHub Education and Experience: - Bachelor's degree or equivalent and relevant formal academic/vocational qualification - Master's degree preferred. - Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years). - In some cases, an equivalency, consisting of a combination of appropriate education, training, and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role. Knowledge, Skills and Abilities: - Proficiency in modern SQL, Python, Spark, and associated AI/ML packages. - Experience with generative AI, large language models, NLP, prompt engineering, and LLMOps best practices. - Strong exploratory data analysis skills: ability to validate, visualize, and communicate model behavior. - Experience with cloud architecture, distributed computing, and modern ML platforms. - Familiarity with data governance, data security, and compliance requirements (preferably in a regulated or clinical environment). - Ability to manage multiple priorities in a matrixed environment. - Excellent analytical thinking, problem-solving, and communication skills. - Ability to work independently with minimal supervision and collaborate effectively with cross-functional teams. At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience: - Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner. - Able to work upright and stationary for typical working hours. - Ability to use and learn standard office equipment and technology with proficiency. - Able to perform successfully under pressure while prioritizing and handling multiple projects or activities. - May require as-needed travel (0-20%). Location: Remotely based in North Carolina, no relocation sponsored.