A Neural DSP Engineer typically spends their days designing, implementing, and optimizing algorithms that combine neural network models with digital signal processing techniques. This can involve coding, running simulations, evaluating system performance, and troubleshooting both software and, in some cases, embedded hardware. Collaboration is frequent, as you will often work closely with software engineers, data scientists, audio engineers, or product managers to ensure that neural DSP solutions meet project requirements. Regular meetings and code reviews are standard, and you may participate in cross-functional teams working on research, prototyping, or product development. This collaborative environment fosters both technical growth and the exchange of new ideas.