Senior Voice AI Engineer — Real-Time Multilingual Systems

ResumeXrays LLC; Palo Alto (CA); On-site; USD 220,000 - 357,000; Full time

Benefits offered by this job

Equity ownership

Comprehensive medical, vision, and DSP

401(k) retirement plan

Disability insurance

Life insurance

Employee discounts

Job summary

SpaceXSI is seeking a SR. MODEL ENGINEER, VOICE to design, build, and operate the software stack behind Grok Voice. You will create scalable data pipelines, develop distributed training infrastructure, and deploy voice models with low latency across real-time services.

The role emphasizes reliability, performance, and end-to-end system ownership. You will work on a team delivering multilingual spoken interactions, with end-to-end responsibilities from data processing to production deployment at

Qualifications

• Bachelor's degree in a relevant engineering or computer science field.
• Experience writing production-quality Python, PyTorch, JAX, Rust, or C++.
• 2+ years of experience with large-scale voice-related products.

Responsibilities

• Design, build, and maintain large-scale distributed data pipelines ingesting real-world and synthetic audio for training and evaluation.
• Build and optimize distributed training infrastructure for speech-language models in JAX and PyTorch.
• Develop automated evaluation and testing systems that measure accuracy, audio quality, latency, and real-time performance for model releases.
• Integrate voice models into production applications with low latency and reliability, and own deployment from prototype to global scale.
• Profile and optimize system performance across training and inference, focusing on throughput, latency, memory usage, and compute efficiency.

Skills

Python

PyTorch

JAX

C++

Rust

Distributed systems

Education

Bachelor's degree in CS/EE or related field

Tools

Kubernetes

Spark

Ray

JAX

PyTorch

Job description

SpaceXSI is seeking a SR. MODEL ENGINEER, VOICE to design, build, and operate the software stack behind Grok Voice. You will create scalable data pipelines, develop distributed training infrastructure, and deploy voice models with low latency across real-time services.

The role emphasizes reliability, performance, and end-to-end system ownership. You will work on a team delivering multilingual spoken interactions, with end-to-end responsibilities from data processing to production deployment at