Demo

Hardware Engineer II

Meta
Menlo, CA Other
POSTED ON 8/18/2026
AVAILABLE BEFORE 9/7/2027

About the Team
The NPI (New Product Introduction) Technical Readiness team within Systems Strategy & Technology ensures that Meta's data center infrastructure is prepared for the rapid evolution of AI technology and hardware roadmaps. We partner closely with hardware engineering, data center design, and operational readiness teams to validate that new systems can be successfully deployed at scale.

Role Overview

We are seeking a junior-level Contingent Worker with a software engineering background to support hardware-to-data-center compatibility analysis. In this role, you will leverage Meta's internal AI tools to collect, organize, and analyze hardware specifications and data center specifications, assess compatibility, and generate recommendations for interconnection requirements. This is an ideal role for someone who combines technical software skills with curiosity about hardware infrastructure and data center systems.

Key Responsibilities
Spec Collection & Data Management: Gather and organize hardware specifications (compute, networking, storage, power, cooling) and data center infrastructure specifications (rack power capacity, cabling standards, network topology, physical layout constraints).
Compatibility Analysis: Use internal AI-powered tools to cross-reference hardware specs against data center requirements across electrical, thermal, mechanical, spatial, and other hardware compatibility dimensions, identifying potential gaps, conflicts, or constraints in deployment readiness.
Interconnection Recommendations: Analyze interconnection requirements (network cabling, power distribution, thermal envelopes, physical clearances) and produce compatibility assessments and recommendations for engineering teams.
AI Tool Utilization: Operate and optimize Meta's internal AI tools and platforms to automate data collection, spec parsing, and compatibility checks. Provide feedback to tool developers on accuracy, usability, and feature gaps.
Documentation & Reporting: Create clear, structured reports and dashboards summarizing compatibility findings, risk areas, and recommended actions for cross-functional stakeholders.
Cross-Functional Collaboration: Partner with hardware engineering, data center design, systems integration, and operational readiness teams to validate findings and support NPI milestone reviews.

Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience)
1–3 years of experience in software engineering, data analysis, or a technical operations role
Proficiency in Python or similar scripting language for data processing and automation
Strong analytical skills with attention to detail and ability to work with complex technical specifications
Ability to quickly learn and effectively use new software tools and AI platforms
Excellent written and verbal communication skills
Self-starter with the ability to work independently and manage multiple workstreams

Preferred Qualifications
Familiarity with data center infrastructure concepts (power, cooling, networking, rack architecture)
Experience with hardware specifications or technical documentation (e.g., spec sheets, design documents, CAD drawings)
Exposure to AI/ML tools, large language models, or automation frameworks
Understanding of networking fundamentals (Ethernet, fiber optics, interconnect topologies)
Experience working in cross-functional engineering environments
Knowledge of data visualization or dashboard tools

What You'll Gain
Hands-on experience with cutting-edge AI infrastructure at scale
Exposure to next-generation hardware platforms (AI/ML accelerators, high-performance networking)
Opportunity to work with Meta's internal AI tools in a real-world production context
Collaboration with world-class engineering teams across data center and hardware disciplines
Understanding of the full lifecycle of new product introduction in hyperscale data centers

Success Metrics
Accuracy and completeness of spec data collection
Quality and timeliness of compatibility assessments
Reduction in manual effort through effective AI tool utilization
Stakeholder satisfaction with recommendations and reports
Contribution to on-time NPI milestone achievements

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta.

The pay range that Tundra in good faith reasonably expects to pay for this position is $58.07/hour – $72.59/hour.

Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, up to 15 Days PTO per annum and a New Child Benefit.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

The Meta CWX Program is enabled by a cutting-edge software platform called TalentNet that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.

At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.

We give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas, offer support, and make a difference.

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta. Please note that this is not a full-time employment opportunity. Candidates selected for this role will be engaged as contractors for the specified duration of the project. For any inquiries regarding the terms of the contract or engagement, please contact Tundra Technical Solutions directly.

Salary : $58 - $73

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