SupercellTools & Automation Lead
任职要求
• Proven track record (5+ years) in building software, tools, or automations, with at least 2 years in a leadership or strategic role
• Experience with building web or mobile services
• Highly skilled in at least one modern programming language
• Strong technical background with a hands-on mindset
• Ability to design scalable solutions with a focus on usability and maintainability
• Strong leadership and people management skills, with a focus on team growth and enablement
• Excellent communication and collaboration skills
• Experience managing vendors and …工作职责
• Own the strategy for internal tools, automations, and digital services within Supercell IT • Build and lead a small, expert team that develops and maintains tools, services and automations for employees • Prioritize and manage the backlog of tool and automation requests across Supercell IT and other teams IT supports • Design, build, and maintain scalable, reliable, and secure tools, services and automations • Coordinate and manage external partners developing software or integrations for Supercell • Collaborate with other IT function leads and business teams to identify opportunities for new tools and automations • Drive and support company-wide initiatives that improve digital workflows and employee experience • Set long-term vision and goals for tools and automation efforts at Supercell
This role centers on the technical design and implementation of new features across the Nsight tool suite. Day-to-day work includes partnering closely with internal teams and external collaborators across NVIDIA, driving technology discussions, and providing thoughtful feedback on architecture. The engineer in this role will write fast, maintainable, well-documented code; review peers' work with an eye for performance, scalability, and correctness; and contribute to realistic delivery schedules through accurate estimation and prioritization. Collaboration with the QA team to define test plans for new features is also a regular part of the job, alongside continued growth in both technical and non-technical skills.
• Develop and ship features in art pipeline tools used by artists across our game teams. • Contribute to architecture and technical decisions on subsystems you build, from data models and file formats to UI and rendering. • Work directly with artists to understand their workflow pain, and turn it into tools that make their day shorter and their work better. • Ship cross-platform on Windows and macOS, and make the experience feel native and solid on both. • Collaborate with engine and game teams on the pipeline boundary.
• Build Intelligent Gameplay Automation & Agentic Workflows: Design and deploy advanced gameplay agents using computer vision, reinforcement learning, imitation learning, and LLM/VLM-based agents, leveraging state-of-the-art tools like Codex and Claude. • Drive ML-Driven QA & Defect Detection: Apply ML/DL techniques to solve complex QA challenges across NVIDIA product lines, implementing DL-based solutions for video/audio defect detection and optimizing automated test frameworks to boost productivity. • Develop End-to-End GPU Validation Solutions: Create and maintain robust, Python-based automation pipelines that consume neural networks to rigorously validate NVIDIA GPUs. • Establish Scalable Infrastructure & Deployment: Set up and manage scalable development environments using Linux, Docker, and TensorRT to train, validate, and deploy large-scale neural networks. • Curate Self-Improving Data Pipelines: Build, clean, and augment high-quality datasets to feed and enable continuous, self-improving training pipelines.