
Hammerspace obliterates data access delays for AI and high-performance computing. Its Data Platform delivers a high-throughput, low-latency parallel global file system unifying data from edge to core to multi-cloud, accessible via pNFS, NFSv3, SMB and S3 standards. Instant, agentless deployment with native Linux support combined with migration-free data assimilation radically accelerates pipelines. This approach keeps GPUs saturated, speeds time-to-insight, and boosts researcher and developer productivity.
We are seeking a seasoned Senior Software QA Engineer with experience in testing Storage, Filesystems, distributed systems and Protocols (NFS, SMB).
Responsibilities:
Qualifications:
Additional Desired Skills:
Pay range and compensation package:
The anticipated base salary range for this role is $140,000 to $200,000. Actual compensation will be determined by several factors including, but not limited to, level of professional/education experience, skills/abilities, internal equity, location and budgetary considerations. In addition, Hammerspace offers a broad range of health plans for medical, dental, vision, life and disability. We also offer 401k plans and flexible time off.
Equal Opportunity Statement:
To the extent required by state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
Hammerspace is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.

Hammerspace is radically changing how unstructured data is used and preserved. Our Global Data Platform unifies unstructured data across edge, data centers, and clouds. It provides extreme parallel performance for AI, GPUs, and high-speed data analytics, and orchestrates data to any location and any storage system. This approach creates a Global Data Platform that eliminates data silos and makes data an instantly accessible resource for users, applications, and compute clusters, no matter where they are located.