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.
working across software stacks (experience in implementations and optimizations)
leading technical areas (experience in delivering roadmaps)
cross-functional partnerships (experience in driving solutions)
problem-solving (experience in data analysis and insight-driven actions)
Preferred Qualifications
Master’s degree (degree in Engineering, Computer Science, or a related technical field)
specialized experience (experience in BSP/Board Support Package, Operating Systems, CoreOS, Kernel, Android Kernel, Bootloader, Power Management, RTOS, Linux, Graphics and Display Drivers, Microcontroller Unit (MCU))
profiling, benchmarking and analyzing (experience in system compute, memory, latency and I/O performance)
mentoring/influencing engineers (experience in across organizations)
Software Development processes (experience in source control, bug tracking, and design documentation)
developing, debugging, and shipping software products (experience in large code bases that span platforms and tools)
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