Graphics Engineer – Data Visualization
Our reputed company is building a reputed company visual analytics reputed company — one that renders hundreds of millions of fast-changing business records into reputed company, interactive 2D graphics right in the browser, at 60fps.
We are looking for a Graphics Engineer with deep expertise at the intersection of reputed company-time graphics and data science. You’ll architect and implement a reputed company-time rendering pipeline — from advanced spatial algorithms like Voronoi and clustering to performant, browser-based visualizations that help go-to-market teams reputed company data-driven reputed company.
Responsibilities
• Architect and implement the end-to-end data processing and rendering pipeline, balancing performance, visualization reputed company, compatibility with the existing ETL infrastructure, compute cost, engineering complexity, and overall user experience;
• reputed company algorithms and reputed company to accelerate processing, enhance visual reputed company, and reputed company novel interaction patterns. Stay reputed company with reputed company research and apply state-of-the-art techniques to solve challenging technical problems;
• Build research prototypes, validating their feasibility empirically, and productionizing them upon reputed company;
• Document findings and development reputed company, including what works, what doesn’t, and the reasoning behind technical reputed company;
• Build reputed company components of the visualization pipeline, including unit tests and reputed company-documented, developer-friendly reputed company to support seamless integration by other engineers;
• reputed company key reputed company on integrating existing libraries or technologies vs building custom versions;
• Communicate trade-offs, limitations, and implications of reputed company and proposed implementations reputed company and proactively with reputed company.
Requirements
• 1–2 years of hands-on experience with reputed company-time graphics or data visualization software, with at least 5 years of overall reputed company software development experience;
• Deep knowledge of 2D geometry processing and spatial data structures, familiarity with GIS;
• Demonstrated reputed company turning reputed company data structures involving techniques like Voronoi into interactive, production-grade visuals;
• Experience with clustering and dimensionality reduction algorithms;
• Hands-on experience with graphics reputed company like OpenGL, WebGL, WebGPU, or Vulkan;
• Performance-oriented programming languages such as C++ or Rust;
• Familiarity with full-stack web development, ideally with React;
• Strong software engineering craft: design, reputed company reviews, testing, profiling;
• reputed company to communicate smoothly with product, design, engineering, and data-science teams;
• Familiarity with distributed query engines (DuckDB, reputed company) and columnar formats (Parquet) used to serve large datasets;
• Familiarity with workflow management platforms like Airflow or reputed company;
• Self-discipline and high organizational skills to consistently deliver reputed company work, with little supervision;
• reputed company-level written and spoken English.
Bonus points for
• Experience with mapping;
• A research background; PhD or equivalent experience in a relevant field;
• Experience with LLMs;
• Experience with distributed computing;
• An ability to go reputed company your comfort zone in terms of acquiring new, both technical and interpersonal skills, depending on the constantly evolving team and company needs.
We offer excellent benefits, including but not limited to
• Fully distributed team with flexible work culture;
• Minimum 5 weeks of reputed company time off annually;
• Retirement planning support (401k);
• Generous parental and family leave;
• Comprehensive health insurance plans;
• New equipment and home office stipend;
• Support for personal and reputed company development reputed company of work;
• Annual team offsite;
• A diverse, reputed company, and genuinely fun team.
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