Nex

• Design and build training pipelines, data workflows, and model integration systems • Develop infrastructure that accelerates research iteration and reduces turnaround time • Build systems for data collection, curation, and preprocessing at scale • Create tools and automation that move experiments toward production readiness • Optimize data pipelines for reliability, performance, and observability • Collaborate with ML researchers to understand their needs and remove technical blockers • Work on model serving infrastructure and integration with the production framework • Write clean, well-tested code that maintains high engineering standards • Participate in code reviews and help raise the engineering bar across the team • Contribute to shared tools, infrastructure, and cross-role projects (20% Time) • Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction • Document systems and decisions to support team knowledge sharing

• Connect with cross-functional teams to understand their needs for data access and viewing. • Project Management to keep track of & prioritize short-term and long-term projects. • Build new and improved ways for accessing & viewing data, ensuring steady functioning over time. • Investigate & iterate on improvements for cost and reliability of data pipeline.

• Lead the design process for the OS, focusing on user needs, usability, and delightful interactions for both kids and adults. • Design and prototype the UI/UX for our custom Android-based operating system, including navigation, settings, and play modes. • Design user-friendly web-based features that allow users to manage their Playground account off-device. • Work closely with product leaders, engineers, and marketers to understand requirements, align on objectives, and deliver innovative design solutions. • Create wireframes, prototypes, and high-fidelity designs for new features. Collaborate with engineering to refine designs based on feedback and testing. • Work to build more consistent practice around team-wide customer empathy by participating in and leading research and testing. • Conduct user research and usability testing to validate design decisions, identify pain points, and iterate on solutions. • Help build and maintain a consistent design language and design system for both the OS and web platforms. • Conduct regular audits and usability testing to ensure the design system meets user needs and maintains a high level of quality. • Advocate for the value and importance of a design system to stakeholders across the company.

• Maintain weekly and monthly demand forecasts across retail channels • Analyze sell-in, sell-through, inventory, and retailer POS data • Support forecasting updates based on promotions, seasonality, and market trends • Monitor retailer purchase orders and inventory levels to identify risks and opportunities • Assist with forecast accuracy reporting and variance analysis • Create and maintain Excel-based forecasting and reporting tools • Prepare business performance reports and planning updates for internal teams • Partner with sales, finance, and supply chain teams to align forecasts and inventory needs • Track sales trends and support demand planning processes • Work cross-functionally with sales, finance, supply chain, and operations teams to support inventory flow, retailer purchase orders, and forecast accuracy • Translate large datasets into clear business insights and actionable recommendations

• Owning Japan Play Pass and games marketing strategy, in close collaboration with the US Publishing team and its integrated marketing function. • Driving Play Pass subscriber acquisition, engagement, and retention through integrated marketing campaigns and performance marketing. • Selecting, contracting, and managing a Japan marketing agency for Play Pass and games marketing, with Japan GM approval. • Planning and executing games-focused events and community initiatives as needed. • Building and managing a Japan Performance Marketing function, with plans to hire a dedicated Performance Marketing specialist as the business grows. • Co-owning Japan’s unified brand strategy with the Japan Hardware Marketing Manager, presenting joint recommendations to the Japan General Manager.

• Own the external product pipeline from ideation through launch and sustain phases, working with a wide range of Japanese game developers, from major studios to mid-size and boutique teams. • Partner closely with internal game development teams, QA, BD, Legal, and the Japan GTM team. • Oversee the entire production pipeline for Japan externally developed experiences, including developer pitch and selection, green light, project planning, milestone tracking, and launch readiness. • Build long-term, trust-based relationships with Japan’s game development community across all studio sizes and types. • Identify and pursue partnerships with Japanese IP holders across anime, manga, character franchises, and entertainment properties.

• Owning the direct buyer relationship with Yodobashi Camera as our primary retail launch partner. • Managing and growing the Nex Playground Amazon Japan account, including product listings, A+ content, promotional placements, and advertising. • Negotiating shelf space, promotional placements, co-op marketing budgets, and trade terms directly with retail buyers. • Serving as Japan’s local execution lead for supply operations — monitoring inventory levels, coordinating replenishment, and managing logistics issues on the ground. • Driving sell-through performance through data-driven account management, forecasting, and inventory planning. • Serving as the Japan-side counterpart to the US Retail Strategy and Supply Chain teams.

• Generate reports to summarize key performance indicators and widescale customer trends to identify development opportunities • Analyze retail performance metrics and use data-driven insights to refine strategies and increase Nex Playground sales. • Report sales volume, trends, and results of potential sales expansions and projects • Effectively communicate project updates, risks, and timelines to cross-functional teams and leadership. • Propose, design, and implement process improvements for forecasting and demand files. • Deliver regular business performance updates with KPI pacing (eg. sales, returns, inventory positions), along with relevant industry/channel insights. • Utilize daily sales data to ensure forecast accuracy across sell-in and sell-through metrics, and maintenance of inventory across Nex Playground’s various retail accounts.

Role Description As a Software Engineer at Nex, you will contribute to building the technical foundations that power our platform's most demanding capabilities. In the ML Engineering track, you will build the infrastructure that accelerates machine learning research: - Training pipelines - Data workflows - Model integration systems - Tools that enable rapid experimentation Your work ensures researchers can iterate reliably and move experiments toward production readiness. The role offers the opportunity to work on deeply technical problems in: - Machine learning systems - Data infrastructure - Sensing technologies - Real-time inference You will be part of a small, highly technical team that values both specialization and collaboration, with clear ownership of core technology areas. The Mindset You are drawn to solving complex technical challenges at the intersection of research and production engineering. You care deeply about building systems that are reliable, performant, and maintainable. You thrive in environments where technical depth matters, where your expertise in: - ML systems - Distributed computing - Real-time software directly shapes what the platform can do. What You’ll Do - Design and build training pipelines, data workflows, and model integration systems - Develop infrastructure that accelerates research iteration and reduces turnaround time - Build systems for data collection, curation, and preprocessing at scale - Create tools and automation that move experiments toward production readiness - Optimize data pipelines for reliability, performance, and observability - Collaborate with ML researchers to understand their needs and remove technical blockers - Work on model serving infrastructure and integration with the production framework - Write clean, well-tested code that maintains high engineering standards - Participate in code reviews and help raise the engineering bar across the team - Contribute to shared tools, infrastructure, and cross-role projects (20% Time) - Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction - Document systems and decisions to support team knowledge sharing Qualifications - 3+ years of professional software engineering experience in building production ML systems, training infrastructure, or research platforms - Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go) - Hands-on experience with PyTorch or TensorFlow in production or research environments - Experience building or maintaining ML training pipelines or data workflows - Familiarity with model deployment, inference optimization, or MLOps practices Nice To Have - Experience with distributed training systems or GPU-accelerated computing - Knowledge of data versioning, experiment tracking, or ML metadata management - Familiarity with containerization (Docker) and orchestration tools - Contributions to open-source ML projects or research publications - Experience working in small, high-performance technical teams - Background in startups, high-growth environments, or consumer product companies - Passion for pushing technical boundaries and deep problem-solving Benefits - Competitive compensation package - Flexible working hours and vacation policy - Product-driven culture that treasures talents and individual growth - Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field

• Design and develop a robust, performant, cross-platform framework for sensing, detection, haptics, and ML inference • Build efficient runtime execution systems and hardware abstraction layers • Develop developer APIs that make complex sensing and inference accessible • Optimize for real-time performance on multimodal data streams • Work on camera, microphone, and haptics integration • Implement code that runs reliably across different platforms and hardware configurations • Improve framework stability, performance, and developer experience • Write clean, well-tested code that maintains high engineering standards • Participate in code reviews and help raise the engineering bar across the team • Contribute to shared tools, infrastructure, and cross-role projects (20% Time) • Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction • Document systems and decisions to support team knowledge sharing