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Job Details

Software Engineer - New Grad (PhD) at Databricks
San Francisco, CA, US


 As a software engineer, you will join our world-class engineering team that is building out Databricks. This includes teams that span a variety of work from working on the cluster manager to building out collaborative features to building software to manage cloud infrastructure. Your team will consist of 5 to 8 engineers with whom you will work on a daily basis. Your team will be responsible for empowering and pushing you to grow as an engineer.


  • Write client-side and server-side code for the Databricks platform
  • Work as an individual and in a team to deliver features or improve architecture
  • Provide feedback in pull requests of other team members
  • Work with PM and design to plan, develop, and iterate on features


  • PhD degree in Computer Science or related technical discipline, or equivalent practical experience
  • Implementation skills with one or more general purpose programming languages, including Java, Scala, or Python
  • Research experience in and good knowledge of algorithms, architecture, artificial intelligence, database, distributed systems, machine learning, systems, and OOD/OOP principles
  • A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design

Preferred Skills

  • Strong knowledge of distributed systems
  • Previous internship experience where you contributed production-level code
  • 3.5 or above GPA


  • Medical, dental, vision
  • 401k Retirement Plan 
  • Unlimited Paid Time Off
  • Catered lunch (everyday), snacks, and drinks 
  • Gym reimbursement 
  • Employee referral bonus program 
  • Awesome coworkers 
  • Maternity and paternity plans 

About Databricks

Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Salesforce, Viacom, Shell, and HP. For more information, visit www.databricks.com.