
Humanoid robots for everyday tasks
AI Research Engineer, Scaling
薪酬
$180,000 - $300,000
福利待遇
•医疗保险
•401k
•股权
必备技能
Python
C++
Distributed Training
Inference Optimization
CUDA
Quantization
AI Research Engineer, Scaling | Infrastructure Location: Palo Alto, CA (on-site)
About 1X
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.
You Will
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Own and lead scaling of distributed training and inference systems
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Ensure compute resources are optimized to make data the primary constraint
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Enable massive training runs (1000+ GPUs) using robot data, with robust fault tolerance, experiment tracking, and distributed operations
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Optimize inference throughput for datacenter use cases such as world models and diffusion engines
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Reduce latency and enhance performance for on-device robot policies using techniques such as quantization, scheduling, and distillation
Must Have
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Strong programming experience in Python and/or C++
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Deep intuitive understanding of training and inference speed bottlenecks and scaling laws
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A mindset aligned with extremely high scaling: belief that scale is foundational to enabling humanoid robotics
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Degree in Computer Science or a related field
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Experience with distributed training frameworks (e.g., Torch Titan, Deep Speed, FSDP/ZeRO), multi-node debugging, and experiment management
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Proven skills in optimizing inference performance using graph compilers, batching/scheduling, and serving systems like TensorRT or equivalents
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Familiarity with quantization strategies (PTQ, QAT, INT8/FP8) and tools such as TensorRT and bitsandbytes
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Experience developing or tuning CUDA or Triton kernels with understanding of hardware-level optimization (vectorization, tensor cores, memory hierarchies)
Benefits & Compensation
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Salary Range: $180,000 – $300,000 + Equity
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Health, dental, and vision insurance
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401(k) with company match
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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.
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关于1X Technologies

1X Technologies
Series B1X Technologies is an AI robotics company developing humanoid robots and artificial intelligence systems for various applications.
51-200
员工数
Sunnyvale
总部位置
$2.5B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.2
薪酬
3.5
企业文化
4.1
职业发展
3.0
管理层
3.7
65%
推荐率
优点
Supportive and approachable management
Flexible hours and remote work options
Collaborative team culture
缺点
Heavy workload and overwhelming demands
Long hours during peak seasons
Limited career advancement opportunities
薪资范围
5个数据点
Mid/L4
Mid/L4 · User Researcher
2份报告
$234,000
年薪总额
基本工资
$180,000
股票
-
奖金
-
$234,000
$234,000
最新动态
First AI housework robot NEO from 1X Technologies now available to order
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2w ago
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Pierwszy AI robot do prac domowych NEO od 1X Technologies już dostępny do zamówienia
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Meet the robots rapidly swallowing up Bay Area office space - The Real Deal
The Real Deal
News
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¿Sueñan los androides con fregar platos? Mayordomos de silicio
La tendencia tecnológica de 2026 apunta al suelo de nuestras cocinas. El desarrollo de robots humanoides funcionales, equipados con una Inteligencia Artificial que hace apenas unos años parecía ciencia ficción, está transformando nuestras casas en laboratorios de convivencia. Estos dispositivos han abandonado su fase de prototipo experimental para convertirse en asistentes prácticos, diseñados específicamente para cargar con el peso de esas tareas domésticas que los humanos llevamos siglos int
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