Payrate: $45.00- $50.00/hr.
Summary:
We are seeking a junior-level Technical Readiness Analyst with a software engineering background to support hardware-to-data-center compatibility analysis.
In this role, you will leverage internal AI-powered tools to collect, organize, and analyze hardware specifications and data center infrastructure specifications, assess deployment readiness, and generate recommendations for interconnection requirements.
This is an excellent opportunity for someone who combines software, data analysis, and infrastructure knowledge with an interest in AI hardware and large-scale data center environments.
Responsibilities:
Spec Collection & Data Management
Gather and organize hardware specifications including:
Compute
Networking
Storage
Power
Cooling
Collect and maintain data center infrastructure specifications including:
Rack power capacity
Cabling standards
Network topology
Physical layout constraints
Compatibility Analysis
Utilize internal AI-powered tools to compare hardware specifications against data center requirements.
Evaluate compatibility across:
Electrical requirements
Thermal requirements
Mechanical constraints
Spatial limitations
Infrastructure readiness
Identify deployment gaps, conflicts, and operational constraints.
Interconnection Recommendations
Analyze requirements related to:
Network cabling
Power distribution
Thermal envelopes
Physical clearances
Develop compatibility assessments and recommendations for engineering stakeholders.
AI Tool Utilization
Operate and optimize internal AI tools and platforms.
Support automation of:
Data collection
Specification parsing
Compatibility validation
Provide feedback to tool development teams regarding:
Accuracy
Usability
Feature enhancements
Documentation & Reporting
Create structured reports and dashboards summarizing:
Compatibility findings
Risk assessments
Readiness gaps
Recommended actions
Cross-Functional Collaboration
Partner with:
Hardware Engineering
Data Center Design
Systems Integration
Operational Readiness Teams
Support NPI milestone reviews and deployment readiness assessments.
Required Qualifications:
Bachelor's degree in:
Computer Science
Software Engineering
Electrical Engineering
Related technical discipline
OR equivalent practical experience.
1–3 years of experience in:
Software Engineering
Data Analysis
Technical Operations
Strong proficiency in Python or similar scripting languages.
Excellent analytical and problem-solving skills.
Ability to work with complex technical specifications and documentation.
Ability to quickly learn and adopt new AI tools and software platforms.
Strong written and verbal communication skills.
Self-starter capable of independently managing multiple workstreams.
Technical Skills:
Python scripting and automation
Data analysis and data processing
Technical documentation review
Hardware specification analysis
AI tool adoption and utilization
Dashboarding and reporting
Problem-solving and root-cause analysis
Infrastructure Knowledge Basic understanding of:
Data center architecture
Networking
Rack infrastructure
Power and cooling systems
Communication
Technical documentation
Stakeholder communication
Cross-functional collaboration
Preferred Qualifications:
Familiarity with data center infrastructure concepts:
Power systems
Cooling systems
Rack architecture
Networking infrastructure
Experience reviewing:
Hardware specifications
Technical design documents
Engineering documentation
CAD drawings
Exposure to:
AI/ML tools
Large Language Models (LLMs)
Automation frameworks
Understanding of:
Ethernet networking
Fiber optics
Interconnect topologies
Experience working within cross-functional engineering organizations.
Knowledge of:
Data visualization platforms
Dashboard development tools
Pay Transparency: The typical base pay for this role across the U.S. is: $45.00- $50.00/hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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