Software Engineer, Power and Performance Automation
Job 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.
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
45,000 - 95,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- CI/CD infrastructureintermediate (DevOps)
- Automation testingintermediate (Testing)
- Embedded systemsintermediate (Hardware)
- Linux/Androidintermediate (Operating Systems)
- Performance profilingintermediate (Performance)
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience (degree in Computer Science)
- Understanding of automated test pipelines and basic troubleshooting for device software (experience)
- Experience in improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes (experience)
- Experience in building and shipping high quality work and achieving high reliability (experience)
Preferred Qualifications
- Experience in embedded devices, Linux/Android, device farm/lab management, remote device orchestration, performance profiling and hardware/software integration (experience)
- Experience in designing, analyzing and improving efficiency, scalability, and stability of various system resources (experience)
- Experience with developing, debugging, and shipping software products on large code bases that span platforms and tools (experience)
Responsibilities
- Develop CI/CD infrastructure and automation solutions for performance, power efficiency and stability testing for embedded devices
- Identify and resolve quality issues across device hardware and software stacks
- Make measurable improvements to signal quality and regression detection capabilities
- Develop reusable software components for interfacing with back-end platforms
- Establish ownership of components, features, or systems with expert end-to-end understanding
- Create tools that improve productivity for broad teams in scale
- Develop unit, integration and end-to-end tests for devices
- triage test flakiness and noise issues
