Artificial Intelligence, Internet of Things (IoT), PropTech, Space Management, Analytics

Systems Integration & Validation Engineer

Mountain View, CAOnsiteFull Time$250,000–$300,000 /yrPosted 15 days agoVisa sponsorship available

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Required skills

AI rack-scale systems
board bring-up
tray bring-up
rack integration
multi-rack clusters
accelerator compute trays
host servers
scale-up switches
NICs
retimers

Nice to have

Liquid cooling and thermal
RAS and error handling
Secure boot
System performance

Role summary

This role is for a Systems Integration & Validation Engineer responsible for the end-to-end validation of AI rack-scale systems. The engineer will manage systems from initial bring-up to full deployment, including various hardware components and infrastructure. Key responsibilities include creating validation plans, building test environments, developing automation for fleet-scale execution and triage, leading system bring-up, and driving validation through NPI phases. The role involves debugging issues across hardware, firmware, and software, and collaborating with internal teams and external partners (ODM/CM) to ensure factory yield and support data center operations. Strong coding skills in Python, C, C++, Linux experience, and expertise in BMC, Redfish, IPMI, and specific hardware technologies like PCIe, networking, power, and cooling are required.

About the Role

Own end-to-end validation of our AI rack-scale systems. You'll take systems from board and tray bring-up to full racks and multi-rack clusters, through L11 rack integration and deployment in the field. That includes accelerator compute trays, host servers, scale-up switches, and the components that tie them together: NICs, retimers, cables, power shelves, busbars, liquid cooling, and rack management. You'll build the plans, environments, and automation that prove our systems work at fleet scale. You'll partner with silicon, hardware, firmware, software, and manufacturing teams, along with our ODM and CM partners.

What You'll Do

Create system validation plans for AI rack-scale systems at the board, tray, rack, and multi-rack cluster levels, through L11 rack integration

Build validation environments, including system diagnostics, stress and burn-in tests, workload-based tests, fleet health checks, and rack acceptance tests

Develop test automation that scales execution and automated triage across hundreds of racks and thousands of trays, including telemetry collection, results databases, and dashboards

Lead system and rack bring-up from first power-on of trays and racks through full validation, including interoperability across compute, host, and switch trays, power, thermal and performance characterization, margin testing, and long-duration stability and reliability

Drive validation through each NPI phase (Proto, EVT, DVT, PVT, and production) and define entry and exit criteria for each

Debug and root-cause issues across silicon, board, firmware (BIOS/UEFI, BMC, device firmware), OS and drivers, networking, power, and thermal

Drive the NPI and production ramp: define L6, L10, and L11 test content and acceptance criteria with ODM and CM partners, improve factory test yield, and support data center bring-up, field deployment, field failure analysis, and RMA

Partner with silicon validation, board and system hardware, thermal, firmware, software, networking, manufacturing and test engineering, ODM and CM partners, suppliers, and data center operations

What We're Looking For

5+ years of experience in system validation, system integration, or bring-up for servers, accelerators, or rack-scale systems

Strong coding skills in Python, C, and C++, plus solid Linux systems experience

Experience with BMC (OpenBMC), Redfish, and IPMI

Proven system and rack bring-up experience, from first power-on through full validation

Experience validating hardware through NPI phases (Proto, EVT, DVT, PVT) and into production

Experience working with ODM and CM partners on L6/L10/L11 test content, acceptance criteria, and factory yield

Strong debug skills and fluency with tools such as PCIe and Ethernet protocol analyzers, oscilloscopes, logic analyzers, JTAG debuggers, and BMC logs and telemetry

Experience building test automation, telemetry, and triage infrastructure at fleet scale

Deep expertise in one or more of the following:

AI training and inference workloads and collectives at scale

PCIe Gen5/6/7, CXL, PCIe switches, and retimers

Scale-up fabrics and switches

112G/224G SerDes, copper cables and backplanes, and optics

Scale-out networking, RDMA, and RoCE

Rack power delivery and power management

Liquid cooling and thermal

System management and firmware update

RAS and error handling

Secure boot

System performance

Strong collaboration and communication skills across internal teams, manufacturing partners, and data center operations

Full compensation packages are based on candidate experience and relevant certifications.

California pay range$250,000—$300,000 USD

Compensation

Final offers depend on level, location, and skills relevant to the role. Additional compensation: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO.

Visa Sponsorship

DensityAI sponsors qualified candidates for H-1B, O-1, TN, E-3, and other employment-based visas, and we welcome applicants on F-1 OPT and STEM-OPT. Work authorization is required at start; we provide immigration support to secure or transfer status.

Export Controls

Aspects of this role may involve access to information subject to U.S. export controls (EAR/ITAR). We may discuss licensing or scope adjustments during the interview.

Equal Opportunity

DensityAI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religious creed, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age (40+), sexual orientation, military or veteran status, pregnancy, or any other status protected by law. We comply with the California CROWN Act and provide reasonable accommodations on request.

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