Description
the successful candidate will play a critical role in ensuring the end-to-end performance and reliability of our solution, which integrates a mosaic of software components and custom hardware systems. This is an opportunity to influence the design and evolution of a platform at the forefront of ai-powered productivity, with a primary focus on android-based experiences. #li-hybrid
responsibilities
•end-to-end performance evaluation: lead the comprehensive assessment of system performance across all layers of the voice solution, including mobile, web, server-side, and hardware components.
•software and hardware integration: collaborate closely with cross-functional teams to ensure seamless interoperability between custom hardware modules and a diverse suite of software applications.
•android focus: specialize in android platform optimization, troubleshooting, and performance tuning, ensuring best-in-class user experiences for voice-driven workflows on android devices.
•test design and automation: develop and maintain sophisticated test strategies, automated frameworks, and diagnostic tools to evaluate latency, accuracy, and system reliability under real-world conditions.
•root cause analysis: investigate bottlenecks, failures, and anomalies throughout the full stack, applying analytical rigor and advanced debugging techniques to resolve complex issues.
•collaboration and leadership: mentor junior engineers and contribute to a culture of technical excellence by providing guidance on system architecture, best practices, and process improvements.
•documentation and reporting: produce detailed technical documentation, performance reports, and recommendations for ongoing system enhancements and risk mitigation.
•continuous improvement: monitor emerging technologies, trends, and methodologies in voice workflows, system engineering, and android development, leveraging these insights to evolve product capabilities.
primary duties
•drive and own system-level performance testing initiatives, including benchmark design, stress testing, and profiling across multiple product components.
•collaborate with hardware engineers to validate custom microphone arrays, speakers, and connectivity solutions for optimal voice detection and command execution.
•partner with software developers to optimize voice recognition pipelines, natural language processing modules, and workflow orchestration logic.
•design and implement scalable test environments that simulate real-world usage patterns, including variable network conditions, multi-user concurrency, and environmental noise.
•analyze telemetry and log data, applying statistical methods to uncover trends, identify potential risks, and inform product refinements.
•advise product management on technical tradeoffs related to system performance, reliability, and scalability, particularly in the context of android deployments.
•ensure compliance with industry standards and best practices for security, privacy, and accessibility across all system components.
•participate in technical reviews, sprint planning, and roadmap discussions, advocating for system integrity, performance, and user-centric design.
qualifications
must haves:
•bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics
•minimum of 7 years of experience in systems engineering, performance analysis, or software/hardware integration, with a proven track record in voice-based applications.
•experience working with custom hardware solutions, embedded systems, or iot devices as part of integrated products.
•strong knowledge of system profiling, monitoring, and diagnostic tools for android and linux environments.
•demonstrated ability to design and execute performance test plans, automate validation pipelines, and interpret complex data sets.
•excellent communication skills, with the ability to translate technical findings into actionable insights for engineering and product teams.
•experience in agile development environments, with a collaborative, problem-solving mindset.
• experienced with: c#, java, .net or native or hybrid mobile development.
• travel availability
we value:
•advanced degree or relevant certifications in systems engineering, android development, or voice processing technologies.
•hands-on experience with cloud-based infrastructure, microservices, and distributed systems supporting voice workflows.
•background in security, privacy, or compliance as it pertains to voice solutions and mobile devices.
•familiarity with machine learning frameworks, especially those related to natural language processing and audio analytics.
•knowledge of bluetooth, wi-fi, and custom connectivity protocols for hardware integration.
•open source contributions or published research in voice technology or systems engineering.
•expertise in android development, including proficiency with c#, java, kotlin, android studio, and relevant sdks/apis.
•deep understanding of voice recognition algorithms, speech-to-text processing, and audio signal optimization.