AI Systems Engineer, Hardware Architecture

Meta Reality Labs is seeking a principal-level AI Systems Engineer to define the hardware architecture strategy for next-generation AI-accelerated computing systems powering virtual and augmented reality products. In this role, you will shape the long-term silicon and systems roadmap for on-device AI inference and training workloads across wearables, headsets, and spatial computing platforms. You will drive architectural decisions that span custom silicon, memory subsystems, interconnects, and software-hardware co-design, ensuring Meta's AI hardware remains at the forefront of performance, efficiency, and capability for immersive computing experiences.
AI Systems Engineer, Hardware Architecture Responsibilities:
Define and own the multi-year architectural roadmap for AI compute subsystems across Meta's hardware product lines, including wearables and spatial computing devices
Lead system-level architecture exploration for AI inference and training accelerators, including memory hierarchy design, interconnect topology, and power-performance-area tradeoffs
Drive cross-functional alignment across silicon engineering, firmware, software, and product teams to translate AI workload requirements into hardware specifications
Develop and maintain architectural models, performance simulators, and analytical frameworks to evaluate design tradeoffs at the system level
Identify and resolve architectural bottlenecks across the AI compute stack, from neural network operators to silicon microarchitecture
Establish technical direction for AI hardware platform decisions, including custom silicon versus third-party IP evaluation and integration strategies
Partner with machine learning researchers and compiler teams to co-design hardware-software interfaces that maximize AI model efficiency on constrained wearable platforms
Represent hardware architecture in executive-level technical reviews, authoring detailed architecture decision records and system specifications
Mentor and provide technical guidance to other engineers across hardware architecture and systems engineering disciplines
Evaluate emerging AI workloads, model architectures, and compute paradigms to proactively inform future hardware platform investments
Minimum Qualifications:
15+ years of experience in hardware systems architecture, with a focus on AI, ML, or high-performance compute systems
Experience defining SoC or system-level architecture for AI inference or training workloads, including memory subsystem design, compute hierarchy, and interconnect topology
Experience with hardware-software co-design methodologies for on-device AI workloads, including familiarity with ML compiler stacks, operator fusion, and quantization impacts on hardware design
Experience developing system performance models and using simulation or analytical frameworks to evaluate architectural trade-offs at scale
Track record of driving multi-year hardware architecture roadmaps and influencing silicon strategy across large engineering organizations
Preferred Qualifications:
Familiarity with custom silicon development flows, including architecture-to-RTL handoff, physical design constraints, and post-silicon validation feedback loops
Experience architecting AI systems for power- and area-constrained wearable or mobile devices, including VR headsets, AR glasses, or similar spatial computing platforms
Experience in evaluating and integrating emerging memory technologies (e.g., HBM, LPDDR5X, in-memory compute) into AI system architectures
Background in collaborating with ML research teams to translate novel model architectures into hardware-efficient deployment targets
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.
$260,000/year to $319,000/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.

Work arrangement
Yes