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Databricks

9 real, verified opportunities at Databricks right now.

Product Manager, New Grad (2026) - Berlin at databricks
Early Career

Product Manager, New Grad (2026) - Berlin

databricks

P-1453 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As an Associate Product Manager, you will join a team that works diligently to understand and solve our customers’ most challenging problems. We're hiring across all of our teams, including Machine Learning, Unity Catalog, Dat

📍 BerlinEasy
#University Recruiting - Product
Apply → arbeitnow.com
Software Engineering Intern (2027 Start) - Berlin at databricks
Early Career

Software Engineering Intern (2027 Start) - Berlin

databricks

P-968 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, sys

📍 BerlinEasy
#University Recruiting - Engineering
Apply → arbeitnow.com
Databricks AI Social Impact (DAISI) Challenge - Singapore at Databricks
Student

Databricks AI Social Impact (DAISI) Challenge - Singapore

Databricks

Themes: Education, Machine Learning/AI, Social Good. Submission window: Sep 16 - Oct 06, 2026.

📍 Databricks SingaporeMedium
#education#machine learning/ai#social good
Apply → daisisg26.devpost.com
AI Engineer - FDE (Forward Deployed Engineer) at Databricks
Early Career

AI Engineer - FDE (Forward Deployed Engineer)

Databricks

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) CSQ327R177 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter…

📍 USMedium
#it jobs
Apply → adzuna.com
💼
Early Career

Systems PhD - Software Engineer

Databricks

P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing exponentially . To make it happen we’re building multi-cloud systems at every corner of the data ecosystem, from query engines, vector databases, training pipelines, and storage systems, down to the infrastructure that allows them to scale like auto-sharders, caches, and load balancers, just to name a fe

📍 Bellevue, Washington; Seattle, WashingtonPaidHard
#software engineering
Apply → databricks.com
💼
Early Career

Systems PhD - Software Engineer

Databricks

P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing exponentially . To make it happen we’re building multi-cloud systems at every corner of the data ecosystem, from query engines, vector databases, training pipelines, and storage systems, down to the infrastructure that allows them to scale like auto-sharders, caches, and load balancers, just to name a fe

📍 Mountain View, California; San Francisco, CaliforniaPaidHard
#software engineering
Apply → databricks.com
💼
Early Career

Software Engineer, Web Products

Databricks

Software Engineer, Web Products P-1581 Location: Mountain View, CA About Us: The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI nat

📍 Mountain View, CaliforniaMedium
#software engineering
Apply → databricks.com
💼
Early Career

Software Engineer, Web Products

Databricks

Software Engineer, Web Products P-1581 Location: Mountain View, CA About Us: The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI nat

📍 Mountain View, CaliforniaMedium
#software engineering
Apply → databricks.com
💼
Early Career

Software Engineer - GenAI inference

Databricks

P-1284 About This Role As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack — from kernels and runtimes to orchestration and memory management. What You Will Do Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale

📍 San Francisco, CaliforniaHard
#software engineering
Apply → databricks.com
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