As a software engineer in the Wearables System Health Team at Reality Labs, you will be a specialist in optimizing and defending performance, power efficiency and stability across our products. You will collaborate with a wide-range of teams, threading together newly developed technologies to deliver most performant, energy efficient and reliable products that enhance people’s experiences with our resource-constrained wearable device portfolio.
Core Responsibilities:
Drive wearable device performance and power efficiency, spanning metric definition, instrumentation, tooling, automation, signal analysis and cutting-edge optimizations
Optimize and defend power efficiency, performance and stability on resource-constrained systems based on targets and roadmaps
Partner with broader engineering teams to profile systems and analyze issues across the stack
Build tooling and infra solutions to scale insights and defense across organizations (e.g., shared tools, benchmarks, frameworks for device automation)
Mentor engineers in the team and advocate best practices and processes across the organization
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5+ years experience in developing embedded engineering solutions in a resource constrained environment
Demonstrated experience working across software stacks to drive implementations and optimizations
Proven experience with leading technical areas and delivering roadmaps
Experience with cross-functional partnerships, working across functions to drive solutions
Problem-solving skills through data analysis and insight-driven actions
Experience with software development processes including: source control, bug tracking, and design documentation
Preferred Qualifications:
Master’s degree or higher in Engineering, Computer Science, or a related technical field
Demonstrate specialized experience in two or more of the following areas: BSP/Board Support Package, Operating Systems, CoreOS, Kernel, Android Kernel, Bootloader, Power Management, RTOS, Linux, Graphics and Display Drivers, Microcontroller Unit (MCU)
Expertise in performance and power efficiency areas
Experience with profiling, benchmarking and analyzing system compute, memory, latency and I/O performance
Experience in mentoring/influencing engineers across organizations
Experience developing, debugging, and shipping software products on large code bases that span platforms and tools
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
