About the Role
About the Role
As a Member of the Technical Staff on the Imagine Product team, you will build and scale high-performance systems that enhance AI-driven media experiences for Grok users. This role involves designing robust infrastructure for real-time interactions and optimizing data pipelines to support engaging user experiences.
Responsibilities
- Design and implement scalable systems to support Grok's AI-driven media experiences, ensuring high performance, reliability, and low-latency at global scale.
- Architect robust infrastructure for real-time multi-modal interactions, including handling generation requests, media processing, and seamless integration with frontend and model serving layers.
- Build and optimize large-scale data pipelines to ingest, process, and analyze multi-modal data (images, video, audio), fueling continuous improvement and personalization of Grok's media capabilities.
- Collaborate closely with frontend engineers, AI researchers, and product teams to deliver captivating, media-rich features and end-to-end user experiences.
- Own full-cycle development of solutions: from system design and prototyping to deployment, monitoring, observability, and iterative refinement.
- Deliver production-ready, maintainable code that powers features reaching hundreds of millions of users.
Basic Qualifications
- Proficiency in Python or Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code.
- Experience designing and building systems for consumer-facing products, with emphasis on performance, reliability, and handling high-throughput workloads.
- Hands-on expertise in large-scale data infrastructure and pipelines, particularly for multi-modal or media-heavy AI applications.
- Proven ability to deliver robust, production-grade solutions to millions of users while maintaining high standards of quality and uptime.
- Strong problem-solving skills and a passion for turning innovative ideas into high-impact, scalable realities.
- Deep enthusiasm for AI and media technologies, with a commitment to building user-focused products that inspire and engage.
Preferred Skills and Experience
- Experience with real-time systems, inference serving, or multi-modal data processing at scale.
- Familiarity with distributed systems, containerization (e.g., Kubernetes), observability tools, or performance tuning for AI workloads.
- Background in AI-driven consumer products or media generation technologies.
- Track record collaborating across engineering, research, and product teams to ship delightful features quickly.
Compensation and Benefits
Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance.
Requirements
Proficiency in Python or Rust
You should have a strong track record of writing clean, efficient, maintainable, and scalable code.
Experience with consumer-facing products
You need to have experience designing and building systems with an emphasis on performance and reliability.
Large-scale data infrastructure
Hands-on expertise in building data pipelines for multi-modal or media-heavy AI applications is required.
Problem-solving skills
You should possess strong problem-solving skills and a passion for innovative ideas.
Nice to Have
Experience with real-time systems or multi-modal data processing at scale is preferred.
Knowledge of containerization and observability tools would be beneficial.
A background in AI-driven consumer products or media generation technologies is a plus.
Benefits
Equity
Employees receive equity as part of the total rewards package.
Comprehensive health coverage
Includes medical, vision, and dental coverage.
Retirement plan
Access to a 401(k) retirement plan is provided.
Disability insurance
Short & long-term disability insurance is included.
Life insurance
Life insurance coverage is part of the benefits.