Integrate, validate, and test AI compute rack hardware and software, including servers, accelerators, switches, power, cooling, PDUs, and optical interconnects. Perform rack setup, qualification, performance testing, monitoring and automation, hands-on racking/stacking, documentation, and collaboration with engineering, program management, customers, and vendors.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled AI Rack Integration Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Bright Vision Technologies, we are committed to equal employment opportunities and fostering an inclusive work environment. If you require accommodations during the recruitment process, please let us know.
Position offered by “No Fee agency.”
As we continue to grow, we’re looking for a skilled AI Rack Integration Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Rack Level Integration Engineer/AI Rack Integration Engineer
Location: Santa Clara (Onsite)
Relocation: Available nationwide
Sponsorship: Yes
Compensation: $131,010 – $196,300 / yr+ yearly bonus + sign-on RSUs
We are seeking a Rack Level Integration Engineer to support the integration, validation, and testing of advanced AI compute rack solutions. This role involves working with servers, accelerators, networking switches, power systems, cooling solutions, and optical interconnects to ensure reliable rack performance and functionality.
Key Responsibilities- Integrate and validate AI compute rack hardware and software components
- Configure and test servers, switches, accelerators, power, and cooling systems
- Perform rack setup, qualification, and performance testing
- Support rack-level monitoring, management, and automation functions
- Integrate smart PDUs and optical interconnect solutions
- Execute hands-on lab racking and stacking activities
- Create and maintain technical documentation
- Collaborate with engineering, program management, customers, and vendors
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or related field, or equivalent experience
- 3+ years of hands-on rack-level integration experience
- Strong understanding of AI compute rack architecture and integrated components
- Knowledge of rack-level management and integration best practices
- Experience testing and qualifying rack-level solutions
- Proficiency with Mechanical and Thermal CAD tools
- Strong troubleshooting and problem-solving skills
- Experience with rack-level optical interconnects
- Background in high-tech, AI infrastructure, or data center environments
Bright Vision Technologies, we are committed to equal employment opportunities and fostering an inclusive work environment. If you require accommodations during the recruitment process, please let us know.
Position offered by “No Fee agency.”
Similar Jobs
.png){kind=logo}
Software
Design and validate modular electromechanical chassis and rack-level systems for data centers (HPC/AI/Enterprise). Own product lifecycle through high-volume manufacturing, perform thermal/structural/vibration analysis using FEA, specify metal fabrication and liquid/power connector integration, and align across silicon, power, and optical teams.
Top Skills:
Ai/Gpu ArchitecturesBlind-Mate Liquid InterfacesBlind-Mate Power InterfacesCastingDrip-Free Connector IntegrationFea (Finite Element Analysis)Fluid DynamicsHvmMdvtMetal FabricationMillingOpen Compute Project (Ocp)Orv3Sheet MetalStructural AnalysisVibration AnalysisWetted Material Compatibility
Artificial Intelligence • Automotive • Semiconductor
The Rack Level Integration Engineer will validate and integrate components within AI compute racks, leading design and implementation for performance and reliability.
Top Skills:
Mechanical Cad ToolsThermal Cad Tools
Artificial Intelligence • Internet of Things • Semiconductor
Drive SoC and server platform performance by characterizing real-world AI/HPC workloads on production silicon, designing microbenchmarks, diagnosing bottlenecks, and translating findings into architectural and system-level optimizations while collaborating with hardware and software teams.
Top Skills:
C++CxlInfinibandPciePythonRoceSystemcTlm
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
