Senior Software Engineer, Audio Validation Systems

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the Play Station brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting‑edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world.

Our role at SIE is to create and nurture the experiences under the Play Station brand, a name synonymous with entertainment excellence and creativity.

United Kingdom, London

We’re looking for a Senior Software Engineer to build the tools and automated systems we use to validate audio technologies in the Play Station SDK.

This role sits within SDK Quality Engineering, but the work is primarily software engineering. You’ll design and build audio analysis tools, automated validation pipelines, regression detection systems, and developer‑facing diagnostics that help engineers understand whether audio behaviour is correct, stable, and release‑ready.

You’ll work closely with Audio SDK engineers and platform teams to turn complex audio quality problems into measurable, repeatable engineering systems.

The right person will have strong C/C++ and Python skills, practical digital audio knowledge, and experience building reliable tools, automation, or analysis systems. Previous testing or QE experience is helpful, but we’re most interested in engineers who can write production‑quality code, reason about audio behaviour, and build systems that other engineers depend on.

• Design, build, and maintain audio validation tools for Play Station SDK audio libraries and technologies.
• Write C/C++ and Python code to analyse audio output, detect regressions, compare SDK versions, and validate expected behaviour.
• Build automated systems for repeatable audio quality measurement, including signal analysis, spectral comparison, latency checks, conformance checks, and regression detection.
• Create tooling that gives engineers clear evidence when audio behaviour changes.
• Work with Audio SDK engineers to understand features, risks, expected behaviour, and testability needs.
• Integrate audio validation into CI, build pipelines, reporting, dashboards, and release workflows.
• Investigate complex audio issues using debugging, data analysis, signal processing, and collaboration with domain experts.
• Own technical areas end to end, from requirements and design through implementation, documentation, maintenance, and support.
• Help define standards for maintainable, reproducible, and trustworthy audio validation tooling.
• Mentor engineers and share knowledge across SDK QE and Audio SDK teams.

• Strong professional software engineering experience.
• Strong C/C++ development skills.
• Strong Python development skills.
• Practical understanding of digital audio fundamentals, such as PCM audio, sample rates, channels, latency, dynamic range, filtering, resampling, encoding, or frequency‑domain analysis.
• Experience building tools, automation, analysis systems, SDK components, test infrastructure, or developer‑facing systems.
• Strong debugging skills across code, data, tooling, environments, and pipelines.
• Ability to take ambiguous technical problems and turn them into robust, maintainable software.
• Experience with source control, code review, CI, and collaborative engineering workflows.
• Clear written and verbal communication, especially when explaining technical findings to engineers with different specialisms.
• Degree in Computer Science, Engineering, Audio Technology, Mathematics, Physics, or equivalent practical experience.

• Experience with audio analysis, signal processing, or automated media validation.
• Experience validating libraries, APIs, command‑line tools, SDKs, runtime systems, or platform‑level software.
• Experience with automated regression detection and quality measurement.
• Experience working with CI systems such as Jenkins, Git…