Company Name: Granica

Job Details: Be,an,Early,Applicant,7,Locations,In-Office,or,Remote,Expert/Leader

Job Url: https://builtin.com/job/algorithms-engineer-phd/6645546

Job Description: ABOUT GRANICAGranica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack-where raw information is transformed into usable intelligence.We're built to streamline cloud infrastructure, reduce storage and compute costs, and accelerate data pipelines, therefore helping companies turn massive raw datasets into intelligent, usable fuel for AI.  In short: we build better data for better AI.  Smarter Infrastructure for the AI Era We make data efficient, safe, and ready for scale-think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling:60%+ reduction in storage costs and up to 60% lower compute spend3x faster data processing20% platform efficiency gains Trusted by Industry Leaders Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms. A Deep Tech Approach to AI We're unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy:Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1-2 top-tier papers per quarter.Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025. Backed by the Best We've raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our Mission To convert entropy into intelligence, so every builder-human or AI-can make the impossible real.We're building the default data substrate for AI, and a generational company built to endure beyond any single product cycle.WHAT YOU'LL DOInvent and prototype new algorithms that drive massive gains in I/O, memory, and network efficiency at petabyte scaleDesign cost models and adaptive planners that combine classical optimization with online learningCreate approximation schemes and heuristics that make NP-hard problems run in sub-50ms windowsDevelop telemetry-informed indexes and data encodings that evolve quarterly to slash resource usagePartner with lakehouse and systems engineers to productionize ideas into highly-tuned, vectorized servicesWrite world-class design docs, mentor peers, and open-source algorithms where possiblePublish research that influences both Granica's platform and the broader systems/ML infrastructure communityWHAT WE'RE LOOKING FORPhD in Algorithms, Optimization, Computational Geometry, or a related mathematical fieldResearch that's been cited or applied in systems contexts-especially in data, infra, or ML toolingExperience working on performance-critical components in large-scale environmentsStrong coding ability in Python or Rust, with AI copilots (e.g., Cursor, Claude, Codex) to accelerate iterationComfortable validating ideas against large-scale datasets, real-world traces, or live trafficPragmatic problem-solver who seeks simplicity without compromising performanceWHY JOIN GRANICAThis is a rare opportunity to build a mathematically sophisticated, production-grade engine at the frontier of cloud-scale infrastructure and AI.What's compelling for engineers with deep algorithmic backgrounds:Research that ships-you'll invent theory and implement it in real-world, PB-scale systemsFull-stack math-from cost models and combinatorics to vectorized kernels and scheduling heuristicsFast feedback loops-prototype overnight, validate on live traces the next dayExtreme ownership-partner directly with core systems engineers and product leads to bring your algorithms to lifeHigh-impact culture-every improvement is measurable in dollars saved, seconds shaved, and human time unblockedCOMPENSATION & BENEFITSCompetitive salary and equityPremium healthcare, vision, and dentalFlexible hybrid work setup (Bay Area HQ)Unlimited PTO + quarterly recharge daysStipends for learning, publishing, or open-source engagementEqual OpportunityGranica is an equal opportunity employer. We're committed to building a diverse, inclusive team and encourage candidates from all backgrounds to apply.