Staff Software Engineer

About the Company

Granica is on a mission to remove inefficiency from AI data. We combine research in information theory, probabilistic modeling, and distributed systems to design self-optimizing data infrastructure that continuously improves how information is represented and used by AI.

Responsibilities

• Define and evolve the global metadata and transactional substrate for exabyte-scale data systems
• Architect self-optimizing systems that reorganize and compress data based on access patterns
• Pioneer new approaches to encoding and layout to maximize signal per byte read
• Lead development of distributed compute platforms that scale predictively
• Collaborate with Granica Research to translate advances in compression and probabilistic modeling into production-grade systems
• Drive initiatives to minimize latency from insight to decision

Requirements

• Mastery of distributed systems including consensus, replication, and consistency
• Proven track record of architecting large-scale data or compute systems
• Expertise with columnar formats and low-level data representation
• Deep production experience with Spark, Flink, or next-generation compute frameworks
• Fluency in Java, Rust, Go, or C++
• Demonstrated leadership in mentoring engineers and influencing architecture
• Systems intuition in compression, entropy, and information efficiency

Preferred Qualifications

• Familiarity with Iceberg, Delta Lake, or Hudi
• Published or open-source contributions in distributed systems, compression, or data representation
• Passion for bridging research and production for AI infrastructure

Benefits

• Competitive salary, meaningful equity, and performance bonus
• 401(k) with company match
• Comprehensive health coverage
• Unlimited PTO
• Daily catered meals in the Mountain View office
• Support for research, publication, and conference participation