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# CV/ML Systems Engineer, Hardware Architecture

- **Company:** Facebook Inc.
- **Location:** Pittsburgh, PA, United States
- **Contract:** Permanent contract
- **Skills:** Computing Platforms, Computer Vision, Augmented Reality, Firmware, Hardware Design, Machine Learning, Eye Tracking, Signal Processing, Software Engineering, Systems Architecture, Systems Integration, Functional Dependencies, Machine Learning Operations
- **Published:** September 25, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28054202/Cv-Ml-Systems-Engineer-Hardware-Architecture-Pennsylvania-Pittsburgh-7418

## About the Role

* 12+ years of experience in hardware systems architecture with a focus on computer vision, machine learning inference, or high-performance signal processing systems
 * Experience defining SoC or system-level architecture for CV or ML inference workloads, including image signal processor pipelines, compute hierarchy design, memory subsystem architecture, and interconnect topology
 * Experience with hardware-software co-design methodologies for on-device CV/ML workloads, including familiarity with ML compiler stacks, operator fusion, quantization impacts on hardware design, and perception algorithm profiling
 * Experience developing system performance models and using simulation or analytical frameworks to evaluate architectural trade-offs for real-time CV/ML workloads at scale
 * Track record of driving multi-year hardware architecture roadmaps and influencing silicon strategy across large engineering organizations in consumer electronics or spatial computing domains

Preferred Qualifications:

 * Background in collaborating with computer vision and ML research teams to translate novel perception model architectures into hardware-efficient deployment targets on custom silicon
 * Experience architecting CV/ML inference systems for power- and area-constrained wearable or mobile devices, including VR headsets, AR glasses, or similar spatial computing platforms
 * Experience evaluating and integrating emerging memory and sensor technologies into CV/ML system architectures, including event cameras, time-of-flight sensors, or near-sensor compute approaches
 * Familiarity with perception workloads such as SLAM, depth estimation, hand and eye tracking, scene segmentation, or neural radiance field rendering and their specific hardware demands

## Description

Meta Reality Labs is seeking a principal-level CV/ML Systems Engineer to lead the integration of software programs onto hardware systems across the organization. In this role, you will drive end-to-end software integration programs spanning computer vision and machine learning workloads onto custom silicon, sensor subsystems, and hardware platforms powering next-generation virtual and augmented reality products. You will operate at the intersection of program leadership and technical architecture, orchestrating cross-functional efforts to deliver CV/ML capabilities onto hardware with the performance, efficiency, and latency required for immersive, real-time spatial computing experiences., * Define and own the end-to-end program roadmap for integrating CV/ML inference pipelines onto VR headsets, AR glasses, and wearable spatial computing platforms across multiple product generations

 * Lead hardware-software co-design initiatives by aligning software development milestones with silicon tape-out schedules, ensuring timely integration of perception algorithms onto target hardware
 * Establish integration requirements, success criteria, and program milestones that translate perception algorithm demands into actionable deliverables across hardware and software teams
 * Identify and resolve cross-functional dependencies, risks, and bottlenecks in software-to-hardware integration programs, driving accountability across engineering organizations
 * Coordinate with silicon engineering, firmware, and platform teams to define architectural requirements for custom CV/ML accelerators and SoCs based on software integration needs
 * Develop and maintain program tracking frameworks to evaluate integration progress, hardware readiness, and software maturity against real-world CV/ML workload requirements
 * Engage with external silicon partners, sensor vendors, and IP providers to align integration timelines and ensure emerging CV/ML hardware technologies are incorporated into program plans
 * Communicate program status, integration trade-offs, and roadmap decisions to executive leadership and cross-functional stakeholders through written proposals, program reviews, and status updates
 * Define benchmarking methodologies and integration validation criteria for CV/ML software onto hardware systems across the full stack from sensor ingestion through algorithm execution