Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI.

Eventual is revolutionizing the data platform landscape with their innovative solution for data scientists and engineers. Their open-source distributed data engine, Daft, demonstrates impressive scale, running on 800k CPU cores daily - surpassing the world's largest supercomputer. As a Software Engineer focusing on Storage, you'll be at the forefront of designing and implementing cutting-edge storage and data catalog solutions that power their high-performance computing and machine learning infrastructure.

The role offers a unique opportunity to work with a world-class team of engineers from prestigious companies like Amazon, Databricks, Tesla, and Lyft. You'll be responsible for building scalable, resilient, and efficient data storage systems that support real-time and large-scale data workloads. The position requires expertise in systems programming, distributed storage systems, and a deep understanding of file systems and databases.

The company offers a flexible hybrid work environment based in San Francisco, with a balanced approach requiring at least 3 days of in-person work (Monday-Wednesday). They provide competitive compensation and comprehensive benefits, including health coverage and meal allowances. Eventual is well-funded by notable investors including YCombinator, Caffeinated Capital, Array.vc, and top angels from Databricks, Meta, and Lyft.

This is an excellent opportunity for someone passionate about distributed systems and storage technologies to make a significant impact in the evolving landscape of data processing and AI/ML infrastructure. The role combines technical challenges with the excitement of working at a promising startup that's already achieving impressive scale with their technology.

Storage-focused Software Engineering role at Eventual, building distributed storage systems for AI/ML workloads with their open-source data engine Daft.

Software Engineer, Storage

Data platform helping data scientists and engineers build data applications across ETL, analytics and ML/AI

Eventual is revolutionizing the data platform landscape with their innovative solution for data scientists and engineers. Their distributed data engine, Daft, demonstrates impressive scale, running on 800k CPU cores daily - surpassing the world's largest supercomputer. The company is well-funded by notable investors including YCombinator and Caffeinated Capital, with a team comprising experts from Amazon, Databricks, Tesla, and Lyft.

As a Research Engineer focused on AI Pretraining, you'll work at the cutting edge of AI and distributed systems. The role involves implementing advanced dataset and model training techniques, including multimodal learning, synthetic data generation, and reinforcement learning from human feedback (RLHF). You'll collaborate with the Daft data engine team to optimize performance for modern AI workloads.

The position requires expertise in Python and deep learning frameworks, with a strong understanding of transformer architectures and distributed training frameworks. A PhD or equivalent research experience in Machine Learning or Computer Science is preferred. The role offers the opportunity to work with world-class experts in distributed computing and AI research, while building next-generation AI infrastructure.

The company offers a flexible hybrid work environment based in San Francisco, requiring at least 3 days of in-person work. Benefits include competitive compensation, equity, and comprehensive health coverage. The interview process is thorough, including initial calls with co-founders, technical screenings, and team meet-and-greets, ensuring a good mutual fit for this innovative role at the intersection of AI and distributed systems.

Senior AI Research Engineer role at Eventual, focusing on pre-training and distributed systems, building next-gen AI infrastructure with competitive compensation in San Francisco.

Software Engineer, Pre-Training/AI

Eventual is revolutionizing the data platform landscape with their open-source distributed data engine, Daft, which currently runs on 800k CPU cores daily - surpassing the world's largest supercomputer. The platform is trusted by leading AI/ML companies including Amazon, TogetherAI, and CloudKitchens. As a Software Engineer on the Core Engine team, you'll be instrumental in building key capabilities for the Daft distributed data engine, working on critical components like query optimization, execution engine improvements, and distributed scheduling. The role requires strong expertise in systems programming and distributed systems, with opportunities to shape the future of data engineering and analytics. The company offers a flexible hybrid work environment based in San Francisco, comprehensive benefits, and the chance to work with a team of experts from top tech companies like Amazon, Databricks, Tesla, and Lyft. Backed by notable investors including YCombinator and Caffeinated Capital, Eventual is well-positioned for growth and innovation in the data platform space.

Senior Software Engineer role at Eventual, building core capabilities for the Daft distributed data engine, requiring 3+ years of distributed systems experience.

Software Engineer, Core Engine

Eventual is pioneering the next generation of data platforms, with their open-source data engine Daft running on an impressive 800k CPU cores daily. The company is tackling the limitations of traditional data tooling by creating solutions that accommodate modern ML/AI needs, including multimodal data and heterogeneous compute requirements. As a Software Engineer on the product team, you'll be an early member working on critical features across the entire stack, from frontend API to low-level Rust execution engine. The role offers a unique opportunity to shape the future of distributed data technologies while working in a fast-paced startup environment. The position requires a hybrid work arrangement in San Francisco, with comprehensive benefits and the chance to work alongside team members from prestigious tech companies like AnyScale, Tesla, and Lyft. The company is well-funded by notable investors including YCombinator and Caffeinated Capital, positioning it for significant growth and impact in the data technology space.

Senior Software Engineer role at Eventual, building next-gen data platform for ML/AI workloads, requiring 5+ years of fullstack experience with Python and Rust.

Software Engineer, Product

As a Fullstack Engineer at Eventual, you will be an early member of the team with primary responsibilities around building out key features for our open-sourced data engine, Daft. You will work on core features across the entire stack, from the Daft frontend API and dashboard to its distributed scheduler and low-level Rust execution engine.

Our goal is to build the world's best open-source distributed query engine, and your work will play a key role in realizing that vision. As a young startup, you should be prepared to wear many hats, including tinkering with infrastructure, talking to customers, and participating heavily in the core design process of our product.

We are looking for candidates with:
1. 3+ years of experience in fullstack engineering (web applications, cloud infrastructure, databases, etc.)
2. A unique startup growth mindset to responsibly take on tech debt for velocity while building for future extensibility
3. Familiarity and experience with cloud technologies (e.g., AWS S3)

Most importantly, we seek someone who works well in small, focused teams with fast iterations and lots of autonomy. If you are passionate, intellectually curious, and excited to build the next generation of distributed data technologies, we want you on the team!

We offer a flexible hybrid work approach with at least 3 days of in-person work (typically Monday-Wednesday) at our San Francisco office. We provide best-in-class compensation and benefits, including meal allowances and comprehensive health coverage (medical, dental, vision, and more).

Eventual is well-funded by investors such as YCombinator, Caffeinated Capital, Array.vc, and top angels from Databricks, Meta, and Lyft. Our team has deep expertise in high-performance computing, big data technologies, cloud infrastructure, and machine learning, with members previously working at companies like AnyScale, Tesla, and Lyft.

Join us in building the future of data platforms for ML/AI!

Fullstack Engineer position at Eventual, building open-source distributed query engine for ML/AI data applications

Fullstack Engineer

Eventual is building a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. As a Senior Software Engineer, you will be an early member of the Eventual team with primary responsibilities around building out key features for the Daft distributed data engine.

You will be working on core architectural improvements to various components of Daft including:

- Query Optimizer: intelligently optimize users' workloads with modern database techniques
- Execution Engine: improve memory stability through the use of streaming computation and more efficient data structures
- Distributed Scheduler: improve Daft's resource utilization, task scheduling and fault tolerance

Our goal is to build the world's best open-source distributed query engine, and your work will play a key role in realizing that vision. We are a young startup, so be prepared to wear many hats such as tinkering with infrastructure, talking to customers and participating heavily in the core design process of our product!

We are looking for a candidate with a strong foundation in systems programming and ideally experience with building distributed data systems or databases (e.g. Hadoop, Spark, Dask, Ray, BigQuery, PostgreSQL etc).

Our ideal candidate has:
1. 3+ years of experience working with distributed data systems (query planning, optimizations, workload pipelining, scheduling, networking, fault tolerance etc)
2. Strong fundamentals in systems programming (e.g. C++, Rust, C) and Linux
3. Familiarity and experience with cloud technologies (e.g. AWS S3 etc)

Most importantly, we are looking for someone who works well in small, focused teams with fast iterations and lots of autonomy. If you are passionate, intellectually curious and excited to build the next generation of distributed data technologies, we want you on the team!

We have a flexible hybrid approach to in-person work with at least 3 days of in-person work typically from Monday - Wednesday at our office in San Francisco. We believe in providing employees with best-in-class compensation and benefits including meal allowances, comprehensive health coverage including medical, dental, vision and more.

Senior Software Engineer position at Eventual, building a distributed query engine for ML/AI data applications.

Eventual Engineering Jobs

Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI.