Thinking Machines Lab

Software Engineer, Data Infrastructure

San Francisco

H1B sponsorship available$350k-$475kDetected 4 days ago

PythonRustExpressDistributed SystemsCloud PlatformsTerraformKafkaPyTorchSparkdbtLLMsLogisticsResearch

About the role

We're looking for an engineer to join us and contribute to data infrastructure.
You'll join a small, high-impact team responsible for architecting and scaling the core infrastructure behind distributed training pipelines, multimodal data catalogs, and intelligent processing systems that operate over petabytes of data.
Infrastructure is critical to us: it's the bedrock that enables every breakthrough.

Design, build, and operate scalable, fault-tolerant infrastructure for LLM Research: distributed compute, data orchestration, and storage across modalities.
Develop high-throughput systems for data ingestion, processing, and transformation - including training data catalogs, deduplication, quality checks, and search.
Build systems for traceability, reproducibility, and robust quality control at every stage of the data lifecycle.
Implement and maintain monitoring and alerting to support platform reliability and performance.
Collaborate with research teams to unlock new features, improve data quality, and accelerate training cycles.
Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.

Bachelor's degree or equivalent experience in computer science, engineering, or similar.
Proficiency in at least one backend language (we use Python or Rust).
Comfort operating across the stack and owning projects end-to-end.

we encourage you to apply if you meet some but not all of these:
Have hands-on experience with Kafka, dbt, Terraform, and Airflow.
Have extensive experience understanding and scaling deduplication, data mining, and search.
Have strong knowledge of file formats and storage systems (e.g., Parquet, Delta Lake, etc.) and how they impact performance and scalability.
Are proactive about documentation, testing, and empowering your teammates with good tooling.

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.
it's the bedrock that enables every breakthrough.

Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.

Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
We sponsor visas.

This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.