Software Engineer - GenAI inference

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 LLMs inference
• Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine
• Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators
• Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations
• Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads
• Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A / B launches, rollback, and model versioning
• Integrate with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead
• Collaborate cross-functionally : with platform engineers, cloud infrastructure, and security / compliance teams
• Document and share learnings, contributing to internal best practices and open-source efforts when possible

What We Look For

Pay Range Transparency

Local Pay Range

$142,200 — $204,600 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps : / / www.mybenefitsnow.com / databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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