Software Engineer - Voice Model

SpaceX Super Intelligence; Palo Alto (CA); On-site; USD 150,000 - 450,000; Full time

Job summary

SpaceXSI Grok Voice Model team is hiring a software engineer to design, build, and run the software systems behind Grok Voice. You will deliver natural, multilingual spoken interactions with low latency across devices in real time.

The role covers data processing pipelines, distributed training infrastructure, automated testing and evaluation, and production deployment from prototype to global scale with a focus on stability and performance.

Qualifications

• Bachelor’s degree or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related engineering field.
• Expert-level Python, writing clean, efficient, production-quality code for large-scale systems.
• Hands-on experience building distributed data processing systems with tools like Spark and Ray.
• Experience building and running large-scale distributed training and inference systems on Kubernetes.
• Experience implementing and optimizing model training and inference software in JAX or PyTorch.
• Experience building automated testing, evaluation, and A/B experimentation pipelines for production systems.
• A proactive, self-driven attitude and the ability to deliver in a fast-paced, high-caliber team.

Responsibilities

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

Skills

Python

Distributed systems

Low latency

Education

Bachelor's degree or higher in CS/Software/CE/EE

Tools

Spark

Ray

Kubernetes

JAX

PyTorch

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We’re creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE

You’ll join the Grok Voice Model team as a software engineer. You’ll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment.

RESPONSIBILITIES

• Design, build, and maintain large-scale distributed data pipelines that ingest, process, and annotate real-world and synthetic audio, so the training and evaluation systems get reliable, high-quality data.
• Build and optimize the distributed training infrastructure and software for speech-language models in JAX and PyTorch, including the systems that run supervised fine-tuning and reinforcement learning at scale.
• Build automated evaluation and testing systems that measure accuracy, audio quality, latency, and real-time performance, plus the experimentation infrastructure used to validate every model release.
• Integrate voice models into production applications and real-time services, write the technical specifications for spoken interactions, and own deployment from prototype to global scale with a focus on stability, low latency, and reliability.
• Profile and optimize system performance across training and inference, including throughput, latency, memory use, and compute efficiency.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related engineering field.
• Expert-level Python, writing clean, efficient, production-quality code for large-scale systems.
• Hands‑on experience building distributed data processing systems with tools like Spark and Ray.
• Experience building and running large-scale distributed training and inference systems on Kubernetes.
• Experience implementing and optimizing model training and inference software in JAX or PyTorch.
• Experience building automated testing, evaluation, and A/B experimentation pipelines for production systems.
• A proactive, self-driven attitude and the ability to deliver in a fast-paced, high-caliber team.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We’re creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE

You’ll join the Grok Voice Model team as a software engineer. You’ll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment.

RESPONSIBILITIES

• Design, build, and maintain large-scale distributed data pipelines that ingest, process, and annotate real-world and synthetic audio, so the training and evaluation systems get reliable, high-quality data.
• Build and optimize the distributed training infrastructure and software for speech-language models in JAX and PyTorch, including the systems that run supervised fine-tuning and reinforcement learning at scale.
• Build automated evaluation and testing systems that measure accuracy, audio quality, latency, and real-time performance, plus the experimentation infrastructure used to validate every model release.
• Integrate voice models into production applications and real-time services, write the technical specifications for spoken interactions, and own deployment from prototype to global scale with a focus on stability, low latency, and reliability.
• Profile and optimize system performance across training and inference, including throughput, latency, memory use, and compute efficiency.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related engineering field.
• Expert-level Python, writing clean, efficient, production-quality code for large-scale systems.
• Hands‑on experience building distributed data processing systems with tools like Spark and Ray.
• Experience building and running large-scale distributed training and inference systems on Kubernetes.
• Experience implementing and optimizing model training and inference software in JAX or PyTorch.
• Experience building automated testing, evaluation, and A/B experimentation pipelines for production systems.
• A proactive, self-driven attitude and the ability to deliver in a fast-paced, high-caliber team.

COMPENSATION AND BENEFITS:

$150,000 - $450,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.