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Manager Ai Hardware Jobs (NOW HIRING)

NVIDIA Gruppe

AI Hardware Architect

Santa Clara, CA · On-site

$184 - $287/hr

Come up with microarchitectural solutions for connectivity, coherency, power management, security ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Flux

Head of Hardware Design

San Francisco, CA · On-site

$245K - $270K/yr

To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform ... Build out the Hardware Design function - Start as a hands‑on manager with two existing reports ...

Meta

Hardware Systems Engineer, NPI AI

Menlo Park, CA · On-site

$144K - $204K/yr

... management of AI infrastructure Minimum Qualifications • Bachelor's degree in Computer Science ... experience in hardware systems engineering, silicon validation, firmware validation, or system ...

JS Consulting

Product Manager - AI

Oakland, CA · On-site

Job Title- Product Manager - AI Project Location - Hybrid at Oakland, CA office 2-3 days onsite in ... consumer hardware products Experience in Design Thinking and customer-first product design ...

Ch

$180 - $280/hr

... as a people manager Experience We Love Experience designing or defining products such as: * AI ... AI hardware What We Value the Most We especially value candidates who have: Proven experience ...

Brahma Consulting Group

Head of Hardware

Palo Alto, CA

$145K - $191K/yr

... manage cross-functional teams, and drive technical strategy in a fast-paced environment. * AI ... Familiarity with AI hardware architectures (e.g., TPUs, GPUs) and their design/verification ...

Hark

Global Supply Chain Manager

San Jose, CA · On-site

$120K - $300K/yr

To get there, we're developing multimodal models and next-generation AI hardware together ... About the Role We're looking for an exceptional Staff / Global Supply Chain Manager to help build ...

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Manager Ai Hardware information

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$76.5K

$157.5K

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How much do manager ai hardware jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager ai hardware in the United States is $157,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,500.00 and $168,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ai Hardware vs AI Hardware Engineer?

AspectManager Ai HardwareAI Hardware Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; leadership experienceBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; technical expertise in hardware design
Work EnvironmentTeam leadership, project management, cross-department collaborationDesign, develop, and test AI hardware components
Employer & Industry UsageTech companies, AI startups, hardware manufacturersSemiconductor firms, AI hardware startups, research labs

The main difference is that a Manager Ai Hardware oversees teams and projects related to AI hardware development, focusing on management and strategy. In contrast, an AI Hardware Engineer is primarily involved in the technical design and development of AI hardware components. Both roles require similar technical backgrounds, but their responsibilities and focus areas differ significantly.

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Manager Ai Hardware jobs near you
Infographic showing various Manager Ai Hardware job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $157,515 per year, or $75.7 per hour.

Hardware Systems Engineer, NPI AI

Meta

Menlo Park, CA

$144K/yr

Full-time

Re-posted 6 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is seeking a Hardware Systems Engineer to support the new product introduction (NPI) of next-generation AI and high-performance computing infrastructure for large-scale data center deployments. In this role, you will work at the intersection of AI silicon, server systems, and data center operations, partnering with hardware design, firmware, software, networking, and capacity engineering teams to validate and scale cutting-edge AI hardware systems from early bring-up through production readiness.
Hardware Systems Engineer, NPI AI Responsibilities:
  • Lead end-to-end system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth memory subsystems in data center environments
  • Drive hands-on bring-up, characterization, and validation of AI server systems and associated components such as PCIe, NVLink, DRAM, and high-speed networking fabrics
  • Develop and maintain test specifications, validation procedures, and debug guides tailored to AI infrastructure NPI programs
  • Investigate and root-cause complex system failures spanning silicon, firmware, software, and hardware layers in collaboration with cross-functional engineering teams
  • Triage and track hardware and firmware defects through resolution while maintaining forward progress on NPI program milestones
  • Identify gaps in test coverage and drive improvements to test methodologies, tooling, and automation frameworks across the NPI lifecycle
  • Partner with AI platform and capacity engineering teams to define acceptance criteria and deployment readiness standards for new AI hardware systems
  • Guide data collection, analysis, and reporting efforts to surface systemic hardware quality trends and inform go/no-go decisions for production deployment
  • Communicate validation status, risk assessments, and technical findings to internal engineering teams and external hardware vendors
  • Collaborate with firmware and software teams to define hardware-software interface requirements for telemetry, diagnostics, and remote management of AI infrastructure

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of experience in hardware systems engineering, silicon validation, firmware validation, or system-level bring-up for AI servers, GPUs, TPUs, or AI accelerator platforms
  • Experience in one or more of the following domains: ASIC bring-up and characterization, board-level debug, firmware validation, or large-scale system validation in data center environments
  • Experience developing test specifications, validation procedures, and debug methodologies for complex hardware systems
  • Experience leading root-cause analysis and troubleshooting of system-level failures across hardware, firmware, and software stacks
  • Experience with high-speed interconnects or memory subsystems such as PCIe, NVLink, DDR5, or HBM in the context of AI or HPC system validation

Preferred Qualifications:
  • 3+ years of experience with debugging tools for SoCs including JTAG, GDB, or Trace32, and familiarity with common bus protocols such as I2C, SPI, USB, and PCIe
  • 3+ years of experience defining hardware-software interface requirements for telemetry, diagnostics, and out-of-band management in AI infrastructure deployments
  • Experience integrating lab instrumentation and automation frameworks to support large-scale NPI validation workflows
  • Proficiency in Linux environments and server system management tools used in data center operations

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$144,000/year to $204,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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