Senior Software Engineer, Distributed Query Engine
Company: Eventualcomputing
Location: San Francisco
Posted on: November 6, 2024
Job Description:
Key ResponsibilitiesAs 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!What We Look ForWe 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:
- 3+ years of experience working with distributed data systems
(query planning, optimizations, workload pipelining, scheduling,
networking, fault tolerance, etc.).
- Strong fundamentals in systems programming (e.g., C++, Rust, C)
and Linux.
- 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!Benefits and Remote WorkWe
are believers in both having the flexibility of remote work but
also the importance of in-person work, especially at the earliest
stages of a startup. 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.About the InterviewIntroductory
Call [15M]A short phone screen over video call with one of our
co-founders for us to get acquainted, understand your aspirations,
and evaluate if there is a good fit in terms of the type of role
you are looking for.Technical Phone Screen [45M]A technical phone
screen question over video call to understand your technical
abilities.Technical Interview Panel [3.5HR]Technical interviews
with the rest of the Eventual team with questions to further
understand your technical strengths, weaknesses, and
experiences.Meet the TeamAs many chats as necessary to get to know
us - come have a coffee with our co-founders and existing team
members to understand who we are and our goals, motivations, and
ambitions.We look forward to meeting you!About EventualEventual is
a data platform that helps data scientists and engineers build data
applications across ETL, analytics, and ML/AI.Our Product is
Open-Source and Used at Enterprise ScaleOur distributed data engine
is open-sourced and runs on 800k CPU cores daily. This is more
compute than Frontier, the world's largest supercomputer!Today's
data tooling (Spark, Presto, Snowflake) was built for a world of
tabular data analytics but does not generalize to the needs of
modern ML/AI such as multimodal data, heterogeneous compute, and
user-defined Python algorithms.Eventual and Daft bridge that gap,
making ML/AI workloads easy to run alongside traditional tabular
workloads.We're Growing - Come Grow with Us!We are well funded by
investors such as YCombinator, Caffeinated Capital, , and top
angels in the valley from Databricks, Meta, and Lyft.Our team has
deep expertise in high-performance computing, big data
technologies, cloud infrastructure, and machine learning. Our team
members have previously worked in top technology companies such as
AnyScale, Tesla, and Lyft.We are looking for exceptional
individuals with a passion for technology and a strong sense of
intellectual curiosity.If that sounds like you, please reach out
even if you don't see a specific role listed that matches your
skill sets - we'd love to chat!
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Keywords: Eventualcomputing, Watsonville , Senior Software Engineer, Distributed Query Engine, IT / Software / Systems , San Francisco, California
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