Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Databricks

Staff Engineer Senior

DatabricksSan Francisco - On-Site

Posted 1d ago🏛️ On-SiteSeniorStaff Engineer📍 San Francisco💰 $192,000 - $260,000 / yearly
Apply Now →

Overview

Databricks is hiring a Staff Software Engineer for their Model Serving team to design and build systems for AI/ML model deployment. You'll work with Python and cloud technologies to ensure high-throughput, low-latency inference. This position requires significant experience in software engineering and machine learning.

Job Description

Who you are

You have 5+ years of experience in software engineering, particularly in building scalable systems that support AI and machine learning workloads. Your expertise includes designing and implementing APIs that facilitate high-throughput data processing and model serving. You are proficient in Python and have a solid understanding of cloud computing principles, enabling you to work effectively in distributed environments.

You possess strong problem-solving skills and are comfortable collaborating with cross-functional teams, including product management and infrastructure. Your experience with machine learning frameworks and deployment strategies allows you to contribute to the architectural direction of the Model Serving platform. You are passionate about operational excellence and have a keen eye for ensuring system reliability and performance.

What you'll do

In this role, you will design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability and reliability. You will partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads. Your responsibilities will include driving architectural decisions and collaborating closely with platform, product, infrastructure, and research teams to deliver a world-class serving platform. You will also be involved in monitoring system performance and optimizing for low-latency inference across CPU and GPU workloads.

What we offer

At Databricks, you will be part of a dynamic team that is shaping the future of data and AI infrastructure. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a collaborative environment that values innovation and encourages you to bring your ideas to the table. Join us in making a significant impact in the world of data and AI.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Databricks.

Similar Jobs You Might Like

Based on your interests and this role

Databricks

Software Engineering

Databricks📍 San Francisco - On-Site

Databricks is hiring a Senior Software Engineer for their Model Serving team to design and build systems for deploying AI/ML models. You'll work with technologies like Python and focus on scalability and reliability in San Francisco.

🏛️ On-SiteSenior
1d ago
Databricks

Staff Engineer

Databricks📍 San Francisco - On-Site

Databricks is hiring a Staff Software Engineer for their Foundational Model Serving team to design and implement core systems and APIs for high-throughput AI model inference. You'll work with technologies like Python and Kubernetes in San Francisco.

🏛️ On-SiteSenior
1d ago
Databricks

Engineering Manager

Databricks📍 San Francisco - On-Site

Databricks is seeking a Senior Engineering Manager to lead the Model Serving team, focusing on product experience and foundational infrastructure. You'll work with technologies like Python, Java, and Kubernetes to enhance AI/ML model deployment. This role requires strong leadership and technical expertise.

🏛️ On-SiteSenior
1d ago
GoFundMe

Staff Engineer

GoFundMe📍 San Francisco - Hybrid

GoFundMe is hiring a Senior Staff Software Engineer to design and develop innovative infrastructure for mission-driven fintech products. You'll work with technologies like Java and contribute to impactful solutions. This position requires a strong background in fintech or wealth management systems.

🏢 HybridSenior
2w ago
Uber

Staff Engineer

Uber📍 San Francisco - On-Site

Uber is hiring a Staff Software Engineer to lead technical solutions for the Consumer Incentives team. You'll work with Go, Python, and Java to enhance user experience and drive business growth. This role requires 7+ years of experience in software engineering.

🏛️ On-SiteSenior
1 month ago