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CV/ML Systems Engineer, Hardware Architecture

Meta· Meta Reality Labs
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Pittsburgh, PA$208k - $289kFull-timePosted 4w ago

About the role

Principal-level CV/ML Systems Engineer responsible for leading end-to-end software-to-hardware integration programs for computer vision and machine learning workloads on custom silicon, sensor subsystems, and hardware platforms powering VR/AR products. Focuses on program leadership, technical architecture, and cross-functional coordination to deliver CV/ML capabilities with required performance, efficiency, and low latency for immersive spatial computing.

Responsibilities

  • Drive organization-wide software integration programs onto hardware platforms, orchestrating cross-functional teams across silicon engineering, ML platform, perception algorithms, and hardware systems to deliver CV/ML capabilities on custom silicon
  • 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

Qualifications

  • 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

Skills

Required:Hardware systems architectureHardware-software co-designProgram managementCV/ML inference systems
Last updated Oct 23, 2026. Interested? Apply on the company site.

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