Member of Technical Staff - Imagine Safety

🏢 Summary: Backend-focused engineering role building and shipping scalable, low-latency voice AI features for Grok across iOS, Android, and other product surfaces. The position involves collaborating with model, media, and product teams to deliver high-quality voice experiences at global scale using Python or Rust. 🗂️ Requirements: Proficiency in Python or Rust, Backend engineering experience, Experience building scalable low-latency systems, Hands-on experience shipping features on iOS and/or Android, Strong interest in voice/audio AI, Ability to collaborate across product groups, Strong communication skills 📃 Skills: Python, Rust, iOS, Android, AI, Audio, Backend 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Grok Voice Product team builds seamless, world-class voice experiences for Grok across every platform and product surface. In this role, you will be responsible for designing, building, and shipping voice features across all surfaces. You will have the opportunity to collaborate across iOS, Android, and all product groups. RESPONSIBILITIES: - Own backend engineering for scalable, low-latency voice infrastructure and model integrations. - Collaborate directly with Grok Voice model, media, and product teams to deliver end-to-end experiences. - Drive performance, reliability, and quality of voice interactions at global scale. - Move fast across platforms and product groups as a generalist. BASIC QUALIFICATIONS: - Proficiency in Python or Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code. - Deep interest in voice/audio AI. - Strong generalist engineer with backend focus. - Hands-on experience shipping features on iOS and/or Android. - The ability to work across all product groups and do whatever it takes for best user experience. PREFERRED SKILLS AND EXPERIENCE: - 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: - $180,000 - $440,000 USD - Equity package - Comprehensive medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: High-impact engineering role focused on building and optimizing large-scale AI inference systems for serving Grok at massive scale. The position involves distributed infrastructure, GPU-level optimization, inference acceleration, and reliability engineering for high-concurrency production environments. Candidates will work end-to-end on scalable model serving, CI/CD infrastructure, and next-generation inference optimization. 🗂️ Requirements: Deep low-level systems programming in C/C++ or Rust, Experience with large-scale high-concurrency production serving, Experience with GPU inference engines, Strong background in batching, caching, load balancing, and parallelism, Experience with GPU kernels and code generation, Knowledge of quantization, speculative decoding, distillation, and low-precision numerics, Experience with testing, benchmarking, and reliability of inference services, Experience designing and implementing CI/CD infrastructure for inference 📃 Skills: C++, Rust, vLLM, SGLang, Triton, TensorRT-LLM, GPU, CI/CD, Quantization, Distillation, Caching, Batching, Parallelism, Load-balancing, Autoscaling 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role: We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability. As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency). This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale. Responsibilities: - Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). - Optimize latency and throughput of model inference under real production workloads. - Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency. - Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation). - Develop custom tools to trace, replay, and fix issues across the full stack — from orchestration down to GPU kernels. - Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates. - Accelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems. Basic Qualifications: - Deep low-level systems programming (C/C++ or Rust) - Experience with large-scale, high-concurrent production serving - Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.) - Strong background in system optimizations: batching, caching, load balancing, parallelism - Low-level inference optimizations: GPU kernels, code generation - Algorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics - Experience with testing, benchmarking, and reliability of inference services - Experience designing and implementing CI/CD infrastructure for inference Compensation and Benefits: - $180,000 - $440,000 USD - Equity compensation - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: High-impact inference engineering role focused on building and optimizing large-scale distributed model serving systems for Grok. The position involves low-level GPU and inference optimization, scalable infrastructure development, and ensuring high-performance, reliable AI serving at massive scale. Candidates will work across the full inference stack, from orchestration to GPU kernels and CI/CD systems. 🗂️ Requirements: Deep systems programming in C/C++ or Rust, Experience with large-scale high-concurrency production serving, Experience with GPU inference engines, Strong knowledge of batching, caching, load balancing, and parallelism, Experience with GPU kernel optimization and code generation, Knowledge of quantization, speculative decoding, distillation, and low-precision numerics, Experience with testing, benchmarking, and reliability engineering for inference services, Experience designing and implementing CI/CD infrastructure for inference 📃 Skills: C, C++, Rust, vLLM, SGLang, Triton, TensorRT-LLM, GPU, CI/CD, Quantization, Distillation, Parallelism, Caching, Benchmarking, Load-balancing, Autoscaling 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role: We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability. As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency). This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale. Responsibilities: - Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). - Optimize latency and throughput of model inference under real production workloads. - Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency. - Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation). - Develop custom tools to trace, replay, and fix issues across the full stack — from orchestration down to GPU kernels. - Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates. - Accelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems. Basic Qualifications: - Deep low-level systems programming (C/C++ or Rust) - Experience with large-scale, high-concurrent production serving. - Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.). - Strong background in system optimizations: batching, caching, load balancing, parallelism. - Low-level inference optimizations: GPU kernels, code generation. - Algorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics. - Experience with testing, benchmarking, and reliability of inference services. - Experience designing and implementing CI/CD infrastructure for inference. Compensation and Benefits: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on building and operating large-scale search systems powering discovery on X, including retrieval, indexing, ranking, and ML-driven search experiences. The position involves developing scalable search infrastructure, training ranking models, and integrating Grok reasoning capabilities into search products. Candidates should have strong experience with production ML systems and large-scale search technologies. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases or search indices, Experience building large-scale search systems, Experience with production ML systems, Ability to take ownership of technical problems, Ability to work in fast-paced environments with shifting priorities 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Indexing, Ranking, Databases, Infrastructure, Grok 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Have worked with vector databases, search indices, or similar data stores for search applications - Have worked on large-scale search systems - Have deep experience building or working with production ML systems - Take full ownership of problems and learn whatever you need to solve them - Can move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of our total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on building and operating large-scale search infrastructure and ML-powered retrieval systems for X. The position involves developing search algorithms, training ranking models, and integrating Grok capabilities into search products using modern backend and machine learning technologies. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases, Experience with search indices, Experience with large-scale search systems, Experience with production ML systems, Ability to build scalable search infrastructure, Strong ownership and problem-solving skills, Ability to work in fast-paced environments 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Ranking, Databases, Indexing, Grok 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Have worked with vector databases, search indices, or similar data stores for search applications - Have worked on large-scale search systems - Have deep experience building or working with production ML systems - Take full ownership of problems and learn whatever you need to solve them - Can move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on building and operating large-scale search infrastructure and intelligent retrieval systems powered by machine learning and Grok integration. The position involves developing scalable search algorithms, training ranking models, and improving end-to-end search experiences for millions of users in a fast-paced environment. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases or search indices, Experience with large-scale search systems, Experience with production ML systems, Ability to build and operate search infrastructure, Strong ownership and problem-solving skills, Ability to work in fast-paced environments, Strong communication skills 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Indexing, Ranking, Grok, Databases 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Have worked with vector databases, search indices, or similar data stores for search applications - Have worked on large-scale search systems - Have deep experience building or working with production ML systems - Take full ownership of problems and learn whatever you need to solve them - Can move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Role focused on building and operating large-scale search systems and ML-powered retrieval infrastructure for X. The position involves developing search algorithms, training ranking models, and integrating Grok capabilities into intelligent search experiences using modern backend technologies. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases, Experience with search indices, Experience with large-scale search systems, Experience with production ML systems, Ability to build and operate search infrastructure, Strong ownership and problem-solving skills, Ability to work in fast-paced environments 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Indexing, Vector, Databases, Ranking, Infrastructure, Grok 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Have worked with vector databases, search indices, or similar data stores for search applications - Have worked on large-scale search systems - Have deep experience building or working with production ML systems - Take full ownership of problems and learn whatever you need to solve them - Can move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Role focused on building and operating large-scale search and retrieval systems that power discovery on X, including indexing, ranking, and ML-driven search experiences. The position involves developing scalable search infrastructure, training ranking models, and integrating Grok capabilities into production search systems in a fast-paced engineering environment. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases, Experience with search indices, Experience with large-scale search systems, Experience with production ML systems, Ability to build scalable search and retrieval algorithms, Strong ownership and problem-solving skills, Ability to work in fast-paced environments, Strong communication skills 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Indexing, Ranking, Grok, Databases 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Experience with vector databases, search indices, or similar data stores for search applications - Experience working on large-scale search systems - Deep experience building or working with production ML systems - Ability to take full ownership of problems and learn whatever is needed to solve them - Ability to move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Equity compensation - Comprehensive medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Opportunity to build and operate large-scale search systems powering discovery on X, including real-time retrieval, indexing, ranking, and ML-driven search experiences. The role focuses on developing scalable search infrastructure, training ranking models, and integrating Grok capabilities into search products. 🗂️ Requirements: Experience with Python, Experience with Go, Experience with Rust, Experience with vector databases, Experience with search indices, Experience with large-scale search systems, Experience with production ML systems, Ability to build scalable search and retrieval algorithms, Ability to operate large-scale search infrastructure, Strong ownership and problem-solving skills, Ability to work in fast-paced environments 📃 Skills: Python, Go, Rust, ML, Search, Retrieval, Indexing, Ranking, Grok, Databases 🏢 Description: ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. The team owns the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. The goal is to create a highly relevant, fast, and intelligent search experience by combining advanced information retrieval systems with Grok's reasoning capabilities. RESPONSIBILITIES: - Build search and retrieval algorithms that scale to millions of users - Build and operate large scale search engine and search infrastructure - Train state of the art ML ranking models - Integrate Grok in search systems and products BASIC QUALIFICATIONS: - Tech Stack: Python, Go, Rust - Experience with vector databases, search indices, or similar data stores for search applications - Experience working on large-scale search systems - Deep experience building or working with production ML systems - Ability to take full ownership of problems and learn necessary technologies to solve them - Ability to move quickly in a fast-paced environment with shifting priorities and tight deadlines COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Equity package - Comprehensive medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Role focused on building and optimizing large-scale GPU supercomputing infrastructure for AI training and inference. The position involves low-level GPU kernel optimization, distributed compute systems, and full-stack performance tuning across hardware and platform layers. Candidates will work closely with AI research teams to improve scalability, reliability, and training speed. 🗂️ Requirements: Deep low-level systems programming experience, Experience with large-scale GPU clusters, Hands-on GPU kernel optimization, Experience with distributed compute infrastructure, Ability to optimize memory-bound and compute-bound workloads, Strong communication skills 📃 Skills: CUDA, C, C++, PTX, SASS, CUTLASS, Nsight, Linux, GPU, Tensor 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack — from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization — to make training and inference as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok's training speed and overall AI progress. RESPONSIBILITIES: - Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads - Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance - Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operation - Collaborate closely with AI research teams to deliver production-grade performance and scalability PREFERRED SKILLS AND EXPERIENCE: - Deep low-level systems programming (C/C++/PTX/SASS) - Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale - Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling) - Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms) - Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Equity - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.