Cerebras Systems
Senior Data Engineer (Hardware Data Platform)
Sunnyvale, CA · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$10,294 more — $180,294 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $180,294 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Hardware Engineers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer Hardware Engineers (17-2061) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The level will be calibrated to the candidate's experience, scope, and demonstrated impact.
- This is a hands-on technical-leadership role.
Responsibilities
- Design, build, and operate scalable batch and appropriate streaming data pipelines.
- Own ETL/ELT architecture, orchestration, warehouse models, and reusable data-engineering frameworks.
- Lead data migrations, schema evolution, backfills, retention, archival, and recovery.
- Partner with analytics, software, infrastructure, and business stakeholders to translate requirements into durable data products.
- Review designs and code, mentor engineers, and raise standards for testing, documentation, deployment, and operations.
- Experience building and operating production data pipelines and warehouse systems at scale.
Requirements
- Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
- 5+ years of relevant experience.
- Deep knowledge of ETL/ELT, orchestration, idempotency, backfills, schema evolution, partitioning, and recovery.
- Experience creating reliable data contracts for downstream consumers, with attention to correctness, freshness, and performance.
- Experience with a modern cloud warehouse or lakehouse and AWS, GCP, or Azure.
- Experience working with hardware companies.
- Experience working on server hardware, AI accelerators, hardware accelerator, datacenter, AI Hardware, enterprise product, GPU, CPU, TPU, server platform etc.
Nice to have
- Experience with Databricks, Snowflake, BigQuery, or Redshift.
- Experience with Airflow, Dagster, Spark, Flink, Beam, or Kafka.
- Experience supporting both batch and near-real-time use cases.
- Familiarity with governance, cataloging, access controls, lineage, retention, and data lifecycle management.
- Experience delivering curated or semantic data layers for analytics and BI.
- Familiarity with infrastructure as code, CI/CD, containers, and reliability engineering.
- Track record of designing a platform from first principles or materially scaling an existing one.
- Why Join Cerebras
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Compensation
- The base salary range for this position is $170,000 to $235,000 annually.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.