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职位Nuro

Technical Lead Manager, ML Platform Infrastructure

Nuro

Technical Lead Manager, ML Platform Infrastructure

Nuro

Mountain View, California (HQ)

·

On-site

·

Full-time

·

2mo ago

必备技能

Terraform

Who We Are

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role:

Nuro is seeking an experienced Technical Lead Manager with deep expertise in large-scale infrastructure, workload orchestration, as well as batch and streaming data processing systems to join our ML Infrastructure team. In this role, you will lead the evolution of our core platform, ensuring our researchers and engineers have seamless access to the compute and data resources required to build the future of autonomous driving.

You will drive the strategy for automated resource provisioning, high-performance workload scheduling, and efficient feature management. As a TLM, you will balance technical hands-on leadership with people management, mentoring a high-performing team while partnering closely with ML Research and Autonomy teams to eliminate infrastructure bottlenecks and accelerate the Nuro Driver™ development lifecycle.

About the Work:

As the TLM for ML Platform Infrastructure, you will build the foundation that powers Nuro’s model development from experimentation to production. This will include:

  • Setting Technical Strategy: Defining the roadmap for a unified ML platform that abstracts complex cloud infrastructure.

  • Resource Provisioning & IaC: Scaling our automated infrastructure-as-code (IaC) pipelines to manage thousands of GPU/CPU nodes across diverse environments.

  • Intelligent Scheduling: Designing and optimizing workload orchestration to maximize hardware utilization, minimize job wait times, and handle massive-scale distributed training.

  • Data Dumping & ETL: Designing robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into ML-ready formats.

  • Feature Caching & Feature Stores: Implementing robust feature caching and storage solutions to reduce redundant computations and ensure low-latency access to pre-computed features.

  • Team Leadership: Mentoring and growing a team of software and systems engineers, fostering a culture of operational excellence and technical innovation.

About You

  • Experience: 6+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems with 3+ years of people/team management experience.

  • Resource Provisioning: Deep familiarity with modern Infrastructure-as-Code and provisioning tools (e.g., Terraform, Pulumi, or Crossplane).

  • Workload Scheduling: Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads (e.g., Kubernetes/Kube Ray, Ray, Slurm, or Volcano).

  • Data Dumping (ETL): Proven expertise in large-scale data extraction and transformation. You must be proficient in at least one distributed processing framework, such as Apache Spark or Apache Beam.

  • Feature Management: Experience implementing or maintaining feature stores and caching layers (e.g., Feast, Hopsworks, or Redis-based custom caching).

Bonus Points

  • Advanced degree (Ph.D. or M.Sc.) in Computer Science, Systems Engineering, or a related technical field.

  • Active contributor to open-source projects in the MLOps or Cloud-Native ecosystem (e.g., CNCF, Ray, or Kubeflow communities).

  • Experience with high-performance storage systems (e.g., Lustre, Ceph, or specialized NVMe caching) for ML data loading.

  • Knowledge of cost-optimization strategies for large-scale GPU clusters in public clouds (AWS/GCP/Azure).

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $235,030 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

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关于Nuro

Nuro

Nuro

Series B

Nuro, Inc. is an American autonomous vehicle technology company based in Mountain View, California. Founded in 2016 by Jiajun Zhu and Dave Ferguson, Nuro initially developed custom autonomous delivery vehicles and became the first company to receive an autonomous exemption from the National Highway...

51-200

员工数

Mountain View

总部位置

$8.6B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.0

企业文化

4.1

职业发展

3.5

管理层

3.3

72%

推荐给朋友

优点

Good team and colleagues

Interesting and innovative work

Flexible work arrangements

缺点

Work-life balance challenges and long hours

Management and communication issues

High workload and stress

薪资范围

68个数据点

Junior/L3

Junior/L3 · Management Analyst

1份报告

$71,553

年薪总额

基本工资

$62,220

股票

-

奖金

-

$71,553

$71,553

面试经验

4次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Decision

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience