AI Research Engineer - Scaling

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  "requirements": "<p><strong>You Will</strong></p><ul><li><p>Own and lead scaling of distributed training and inference systems</p></li><li><p>Ensure compute resources are optimized to make data the primary constraint</p></li><li><p>Enable massive training runs (1000+ GPUs) using robot data, with robust fault tolerance, experiment tracking, and distributed operations</p></li><li><p>Optimize inference throughput for datacenter use cases such as world models and diffusion engines</p></li><li><p>Reduce latency and enhance performance for on-device robot policies using techniques such as quantization, scheduling, and distillation</p></li></ul><p><strong>Must Have</strong></p><ul><li><p>Strong programming experience in Python and/or C++</p></li><li><p>Deep intuitive understanding of training and inference speed bottlenecks and scaling laws</p></li><li><p>A mindset aligned with extremely high scaling: belief that scale is foundational to enabling humanoid robotics</p></li><li><p>Degree in Computer Science or a related field</p></li><li><p>Experience with distributed training frameworks (e.g., TorchTitan, DeepSpeed, FSDP/ZeRO), multi-node debugging, and experiment management</p></li><li><p>Proven skills in optimizing inference performance using graph compilers, batching/scheduling, and serving systems like TensorRT or equivalents</p></li><li><p>Familiarity with quantization strategies (PTQ, QAT, INT8/FP8) and tools such as TensorRT and bitsandbytes</p></li><li><p>Experience developing or tuning CUDA or Triton kernels with understanding of hardware-level optimization (vectorization, tensor cores, memory hierarchies)</p></li></ul><p><strong>Benefits &amp; Compensation</strong></p><ul><li><p>Salary Range: $180,000 – $300,000 + Equity</p></li><li><p>Health, dental, and vision insurance</p></li><li><p>401(k) with company match</p></li><li><p>Paid time off and holidays</p></li></ul><p><strong>Equal Opportunity Employer</strong></p><p>1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.</p>",
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