
AI Research Engineer, Scaling
Job description
AI Research Engineer, Scaling | Infrastructure
Location: Palo Alto, CA (on-site)
We build humanoid robots that work alongside people to solve labor shortages and create abundance.
The Role
As a Research Engineer focused on Scaling, you will design and build robust infrastructure to support large-scale training, evaluation, and deployment across 1X’s fleet of robots. You will transform experimental systems into production-grade platforms optimized for throughput, latency, and performance across both datacenter and edge environments. Your work will be pivotal in enabling high-efficiency learning and inference, directly shaping the performance of our general-purpose humanoid robots.
Job requirements
You Will
Own and lead scaling of distributed training and inference systems
Ensure compute resources are optimized to make data the primary constraint
Enable massive training runs (1000+ GPUs) using robot data, with robust fault tolerance, experiment tracking, and distributed operations
Optimize inference throughput for datacenter use cases such as world models and diffusion engines
Reduce latency and enhance performance for on-device robot policies using techniques such as quantization, scheduling, and distillation
Must Have
Strong programming experience in Python and/or C++
Deep intuitive understanding of training and inference speed bottlenecks and scaling laws
A mindset aligned with extremely high scaling: belief that scale is foundational to enabling humanoid robotics
Degree in Computer Science or a related field
Experience with distributed training frameworks (e.g., TorchTitan, DeepSpeed, FSDP/ZeRO), multi-node debugging, and experiment management
Proven skills in optimizing inference performance using graph compilers, batching/scheduling, and serving systems like TensorRT or equivalents
Familiarity with quantization strategies (PTQ, QAT, INT8/FP8) and tools such as TensorRT and bitsandbytes
Experience developing or tuning CUDA or Triton kernels with understanding of hardware-level optimization (vectorization, tensor cores, memory hierarchies)
Benefits & Compensation
Salary Range: $180,000 – $300,000
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Equal Opportunity Employer
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.
or
- Palo Alto, California, United States
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