Last Updated: March 5, 2025

Join our team at Parts Order, a seed-stage startup operating at the intersection of AI and audio engineering, with a focus on spatial and 3D audio, including Dolby Atmos. We deliver best-in-class spatial audio mastering while significantly lowering the barrier to entry for artists, audio engineers, and labels alike.

We recently raised our seed round and are expanding our small team to build out the next phase of our platform. We are looking for a Senior Software Engineer who thrives in both creative prototyping and production-grade development. This role is ideal for a generalist with strong Python skills who is comfortable working with audio data. If you have a superpower—whether it’s tinkering with digital signal processing, building your own VST plugins, or having perfect pitch—we’d love to hear about it!

Parts Order is a fully remote company with team members distributed across multiple time zones from PT to CET.

If you’re interested in learning more, please reach out to sam[at]partsorder.ai!

Responsibilities:

• Design, develop, deploy, and maintain scalable backend services for our AI-driven spatial audio platform.
• Build and optimize APIs, data pipelines, and cloud infrastructure to support batch processing workloads.
• Work on integrating digital signal processing (DSP) techniques and machine learning components into production.
• Improve development workflows, CI/CD pipelines, and observability across the platform.
• Collaborate closely with a multidisciplinary team to bridge the gap between software and audio engineering.

Requirements:

• An appreciation for music, whether as a maker, listener, or explorer 🧡
• Strong Python development skills in production settings (3+ years of experience preferred).
• Experience with cloud platforms (e.g., AWS, GCP).
• Experience building and maintaining backend services and APIs (e.g., FastAPI, Flask, or similar).
• Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).
• Experience with audio and DSP libraries (e.g. NumPy, Librosa, SciPy, Pedalboard).
• Comfort working in an early-stage startup environment—autonomy and adaptability are key!