Amadeus Search
Role:
Software Engineer, Systems
Employment Type:
Full-time
Location:
On-site, San Francisco (4 days/week in-office, 1 day remote)
Compensation:
$150,000 – $250,000 base salary + flexible equity About the Company Eventual is a fast-growing data infrastructure startup founded in 2022 to reinvent how multimodal data—images, video, audio, and text—are queried and processed at scale. Its open-source engine,
Daft , is designed for AI workloads that traditional analytics platforms like Databricks and Snowflake can’t handle.
Already trusted by leading organizations such as Amazon, Mobileye, Together AI, and CloudKitchens, Eventual has raised Series A funding from top firms including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, and Caffeinated Capital, along with backing from the co-founders of Databricks and Perplexity.
With a world-class team from Databricks, AWS, Nvidia, Tesla, GitHub Copilot, and Pinecone, Eventual has quadrupled in size within a year and is now doubling again to scale Daft into a category-defining engine for AI data.
The Role As a
Software Engineer, Systems , you’ll design and implement the low-level capabilities of Daft’s distributed data engine. You’ll work on everything from execution engine internals to query optimization, distributed scheduling, and integrations with modern data lakes. This is a hands‑on role where you’ll shape both the product and its technical foundation while collaborating closely with customers and the engineering team.
Key Responsibilities
Build core system internals and distributed architecture for the Daft data engine.
Optimize query planning and execution using modern database techniques.
Improve memory stability through streaming computation and efficient data structures.
Enhance task scheduling, resource utilization, and fault tolerance.
Develop integrations with Apache Parquet, Iceberg, Delta Lake, and other modern data lake technologies.
Engage with customers, debug workloads, and help shape product direction.
Contribute broadly to infrastructure, design, and system performance improvements.
Candidate Requirements
8+ years of experience in systems programming (C++, Rust, or C).
Proven track record building distributed systems, databases, or data engines.
Strong knowledge of operating systems, compilers, or query optimizers.
Experience with large‑scale system design and performance optimization.
Bonus: startup experience at Series A–C companies selling infrastructure products.
Ability to thrive in a fast‑moving, collaborative environment with high ownership.
Tech Stack C++, Rust, C, Linux, AWS S3, Apache Parquet, Apache Iceberg, Delta Lake, Hadoop, Spark, Dask, Ray, BigQuery, PostgreSQL.
Culture & Opportunity
Hands‑on impact:
Shape the internals of a next‑generation data engine from the ground up.
Customer‑facing engineering:
Work directly with end users at top AI companies.
High‑caliber peers:
Collaborate with engineers from Databricks, AWS, Nvidia, and Tesla.
Tight‑knit team:
4 days/week together in SF Mission office fosters close collaboration.
Rapid growth:
Join at the scale‑up stage as the team doubles headcount.
Benefits & Perks
Competitive salary ($150K–$250K) + flexible equity packages.
Visa sponsorship available.
Collaborative office environment in San Francisco (Mission district).
Backed by world‑class VCs and angels.
Early‑stage opportunity with significant technical ownership.
#J-18808-Ljbffr
Software Engineer, Systems
Employment Type:
Full-time
Location:
On-site, San Francisco (4 days/week in-office, 1 day remote)
Compensation:
$150,000 – $250,000 base salary + flexible equity About the Company Eventual is a fast-growing data infrastructure startup founded in 2022 to reinvent how multimodal data—images, video, audio, and text—are queried and processed at scale. Its open-source engine,
Daft , is designed for AI workloads that traditional analytics platforms like Databricks and Snowflake can’t handle.
Already trusted by leading organizations such as Amazon, Mobileye, Together AI, and CloudKitchens, Eventual has raised Series A funding from top firms including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, and Caffeinated Capital, along with backing from the co-founders of Databricks and Perplexity.
With a world-class team from Databricks, AWS, Nvidia, Tesla, GitHub Copilot, and Pinecone, Eventual has quadrupled in size within a year and is now doubling again to scale Daft into a category-defining engine for AI data.
The Role As a
Software Engineer, Systems , you’ll design and implement the low-level capabilities of Daft’s distributed data engine. You’ll work on everything from execution engine internals to query optimization, distributed scheduling, and integrations with modern data lakes. This is a hands‑on role where you’ll shape both the product and its technical foundation while collaborating closely with customers and the engineering team.
Key Responsibilities
Build core system internals and distributed architecture for the Daft data engine.
Optimize query planning and execution using modern database techniques.
Improve memory stability through streaming computation and efficient data structures.
Enhance task scheduling, resource utilization, and fault tolerance.
Develop integrations with Apache Parquet, Iceberg, Delta Lake, and other modern data lake technologies.
Engage with customers, debug workloads, and help shape product direction.
Contribute broadly to infrastructure, design, and system performance improvements.
Candidate Requirements
8+ years of experience in systems programming (C++, Rust, or C).
Proven track record building distributed systems, databases, or data engines.
Strong knowledge of operating systems, compilers, or query optimizers.
Experience with large‑scale system design and performance optimization.
Bonus: startup experience at Series A–C companies selling infrastructure products.
Ability to thrive in a fast‑moving, collaborative environment with high ownership.
Tech Stack C++, Rust, C, Linux, AWS S3, Apache Parquet, Apache Iceberg, Delta Lake, Hadoop, Spark, Dask, Ray, BigQuery, PostgreSQL.
Culture & Opportunity
Hands‑on impact:
Shape the internals of a next‑generation data engine from the ground up.
Customer‑facing engineering:
Work directly with end users at top AI companies.
High‑caliber peers:
Collaborate with engineers from Databricks, AWS, Nvidia, and Tesla.
Tight‑knit team:
4 days/week together in SF Mission office fosters close collaboration.
Rapid growth:
Join at the scale‑up stage as the team doubles headcount.
Benefits & Perks
Competitive salary ($150K–$250K) + flexible equity packages.
Visa sponsorship available.
Collaborative office environment in San Francisco (Mission district).
Backed by world‑class VCs and angels.
Early‑stage opportunity with significant technical ownership.
#J-18808-Ljbffr