Senior/Staff Rendering Systems Engineer (AI)

Location: San Francisco, California; in-person in the office 5 days a week

Salary: $250,000–$325,000 annually, plus equity

Company

hirify.global is a frontier AI research and product company developing spatial intelligence systems and 3D world-generation technology.

What you will do

• Build and scale high-throughput Unreal Engine rendering systems for synthetic data generation.
• Own low-level rendering and GPU performance engineering across cloud GPU fleets.
• Modify Unreal Engine rendering architecture to support independent worlds or cameras across GPUs.
• Develop production-quality C++ and CUDA systems, including custom parallelization, caching, and high-performance interconnect communication.
• Integrate rendering systems with internal simulation, data, and toolchain pipelines.
• Profile workloads, diagnose compute and I/O bottlenecks, and collaborate with infrastructure and research teams to improve scalability and robustness.

Requirements

• Deep experience with Unreal Engine's renderer, rendering architecture, RHI, command lists, GPU resource lifetimes, synchronization, async compute, and shader pipelines.
• Advanced GPU optimization skills with CUDA and Vulkan, including kernel tuning, memory hierarchy management, and bandwidth optimization.
• High proficiency in C++, CUDA, and Python, with practical Vulkan implementation experience.
• Strong performance-engineering background involving profiling, telemetry, roofline analysis, latency and throughput optimization, and root-cause analysis.
• Experience with Nanite, Lumen, graphics debugging tools, material adjustment, and custom shader development.
• 3–4+ years of engineering experience in AI research labs, machine learning companies, robotics, or autonomous-vehicle organizations, plus experience deploying or serving large-scale generative, diffusion, spatial, or video foundation models.

Nice to have

• Experience with distributed multi-GPU compute and collective communication technologies such as NVLink and NCCL.
• Experience building profiling, telemetry, and observability toolchains for real-time graphics and GPU workloads.
• Experience with Rust.

Culture & Benefits

• Mission-driven work on spatially intelligent AI and large world models.
• Collaborative environment focused on collective intelligence and research-to-production execution.
• Health, dental, vision, and 401(k) benefits.
• Flexible PTO and paid parental leave.
• Relocation support and visa sponsorship for eligible candidates.