Member of Technical Staff

About the role

SpaceXAI develops artificial intelligence designed to interpret the universe and support human knowledge. We maintain a flat structure where every engineer contributes directly to our core mission through hands-on work and clear communication. This role is centered within the Grok Voice Product team where you will build the foundational systems that power intelligent voice experiences. You will own critical backend components that transform experimental AI research into reliable production services. The work requires a balance of deep technical execution and broad collaboration across media, model, and product organizations. You will be expected to navigate ambiguity and deliver robust infrastructure without detailed supervision. Success in this position is defined by your ability to ship high-quality features that enhance the end-to-end voice user experience.

Key facts

Location: USA

Engagement: Full-time

Team: Grok Voice Product

Compensation: $180,000 to $440,000 USD.

Total rewards include equity, medical, vision, and dental insurance, 401(k) plan, life insurance, and disability coverage.

SpaceXAI is an equal opportunity employer.

What you'll do

Develop and maintain backend systems for low-latency voice infrastructure and model integration.

Design and implement scalable audio processing pipelines that support real-time voice interactions across global workloads.

Partner with media, model, and product groups to deploy end-to-end voice features from prototype to production.

Ensure high performance and reliability for voice interactions on a global scale by monitoring, debugging, and optimizing service behavior.

Operate as a generalist engineer across multiple platforms and product surfaces, adapting quickly to new contexts and requirements.

Collaborate closely with research teams to translate novel AI methodologies into stable and efficient software components.

Work closely with product teams to define technical specifications and tradeoffs for new voice-enabled features.

Implement observability and diagnostic tooling to proactively identify issues and improve the reliability of voice infrastructure.

Drive the architecture and implementation of APIs that connect voice services with downstream media and AI systems.

Contribute to the long-term maintainability and extensibility of the codebase by writing clean, tested, and documented solutions.

Support the deployment and operation of AI models in production environments, focusing on latency, throughput, and resource efficiency.

Lead incident response and postmortem processes to ensure continuous improvement of system resilience.

Engage with the broader engineering community to share best practices and elevate the standard of voice AI infrastructure.

Requirements

• Proficiency in Python or Rust with a history of writing efficient, scalable code that handles real-world load.
• Experience shipping features on Android or iOS, demonstrating an understanding of mobile application lifecycles and constraints.
• Demonstrated ability to work as a backend-focused generalist across diverse product groups, switching context without losing quality.
• Genuine interest in audio and voice AI technologies, reflected in your past projects or contributions to the field.
• Strong ownership of production systems, including monitoring, debugging, and on-call responsibilities.
• Comfort working in fast-paced environments where priorities shift and problems are solved with minimal guidance.
• Excellent written and verbal communication skills to coordinate with teams that have varied technical backgrounds.
• A track record of delivering high-quality software under tight deadlines while maintaining attention to detail.
• Willingness to learn and adopt new tools, languages, and frameworks as the needs of the team evolve.
• Commitment to engineering excellence through code reviews, testing, and knowledge sharing with peers.

Nice to have

Experience working on media generation or AI-based consumer products.

History of shipping features rapidly through collaboration with research and product teams.

Practical notes

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Engagement: Full-time.

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Location: Palo Alto, CA.

• Compensation range: $180,000 to $440,000 USD.
• Total rewards include equity, medical, vision, and dental insurance, 401(k) plan, life insurance, and disability coverage.
• No specific hours are listed.
• No travel requirements are specified.
• No visa sponsorship details are provided.
• No application deadline is communicated.