Software Engineer, Power and Performance Automation
Description
As a software engineer in the Wearables System Health Team at Reality Labs, you will play a pivotal role in shaping the quality for Meta’s next-generation wearable devices. This role sits at the intersection of hardware and software, focusing on building robust infrastructure and tooling that enable seamless device automation, testing, and continuous integration for performance, power efficiency and stability.
Responsibilities
Lead CI/CD infrastructure and automation strategy for performance, power efficiency and stability testing for embedded devices Own roadmap and drive complex projects across team boundaries in the domain of device automation and testing Identify and resolve complex or impactful quality issues across device hardware and software stacks Lead initiatives that make measurable improvements to signal quality and regression detection capability Act as a team expert in one or more areas in CI infrastructure, signal quality and test reliability Lead or significantly contribute to the design and creation of tools/processes that improve productivity for broad teams in scale Mentor engineers and drive Better Engineering in the team
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5+ years relevant experience building large-scale infrastructure applications or similar experience Problem-solving skills with the ability to analyze data and provide actionable insights Experience in setting technical direction for a team, driving consensus and successful cross-functional partnerships Experience in improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Master’s degree in Engineering, Computer Science, or a related technical field Experience in embedded devices, Linux/Android, device farm/lab management, remote device orchestration, performance profiling and hardware/software integration Experience with profiling, benchmarking and analyzing system compute, memory, latency and I/O performance Experience developing, debugging, and shipping software products on large code bases that span platforms and tools