AI Hiring Index

SambaNova · Infrastructure · Senior · Posted 2026-08-03

Rack Level Manufacturing Test Engineer

SambaNova · San Jose, California, United States · $150k–190k base

This range's midpoint is above 18% of posted infrastructure ranges at AI companies right now. See the salary index.

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SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.

About the Role

We are seeking a hands-on Rack-level Manufacturing Test Engineer to design, develop, implement test strategies and optimize for fully integrated rack systems. Main focus will be on end-to-end testing of compute, power, cooling and networking components testing at the rack level. 

You will work cross-functionally with engineering, manufacturing, and suppliers to build robust automated test solutions, reduce test escapes, and support new product introduction (NPI) to production.

Responsibilities

Test Development and Automation

Rack Test Development: Design, build, and optimize automated manufacturing test sequences specifically tailored for integrated system racks (e.g., L10 to L12 integration levels).

Infrastructure & Provisioning: Develop robust orchestration environments to automate firmware flashing (BIOS/BMC), network switch configuration, and operating system deployment at scale.

Power & Thermal Validation: Implement rack-level stress testing, including load-balancing validation, thermal throttling assessments, and power shelf/PDU (Power Distribution Unit) margin testing.

Automated Test Infrastructure

Scripting & Automation: Write and maintain test scripts using Python, Bash, or Go to automate system diagnostic tools, network topology validation, and peripheral checks.

Diagnostic Tools: Integrate system diagnostics and stress-testing frameworks into the manufacturing execution system (MES).

Data Analysis & Yield Monitoring: Analyze rack-level parametric test data, monitor manufacturing yields, and establish automated pass/fail criteria to catch assembly or component-level escapes.

Manufacturing Support

Provide hands-on support to manufacturing test technicians for troubleshooting and repair

Train and guide manufacturing teams on proper use of test equipment and fixtures

Ensure stability and uptime of test systems on the production floor

New Product Introduction (NPI) and Global Operations

New Product Introduction (NPI): Collaborate with Hardware Design and Software Engineering teams during early prototype phases to ensure the product design supports rack-level testability (DFR/DFT).

Root Cause Analysis: Drive complex triage efforts for failure analysis at the rack system level, identifying whether issues stem from cabling, firmware mismatches, network configurations, or component defects.

Factory Deployment: Deploy and support test lines at global contract manufacturing (CM) partner sites, creating clear documentation, standard operating procedures (SOPs), and training for factory technicians.

Required Qualifications

Bachelor’s degree in Electrical Engineering (BSEE) or related field

5–7+ years of experience in system-level or rack-level manufacturing test engineering

Strong hands-on experience with manufacturing test systems and troubleshooting

Experience with automated test development and test equipment integration

Strong problem-solving skills and ability to work cross-functionally

Preferred Qualifications

Experience with hardware/software integration testing

Familiarity with test frameworks, scripting, and automation tools

Experience working with contract manufacturers and global production environments

Knowledge of quality and reliability methodologies (e.g., root cause analysis, DFx)

Experience supporting high-volume manufacturing …

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