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Ford
Ford

Automotive manufacturer

Software Engineer

职能工程
级别中级
地点Redford, MI, United States
方式现场办公
类型全职
发布2周前
立即申请

We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems. You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world.

Required Qualifications:

  • Experience:

3+ years of professional software engineering experience in a production environment.

  • Edge Development:

Proven experience deploying software to edge computing hardware or IoT devices.

  • Backend Mastery:

Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js).

  • Cloud Fluency:

Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services.

  • Modern Frontend:

Experience building responsive web applications with React or similar modern frameworks.

  • DevOps Basics:

Familiarity using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and disciplined version control approach (GIT based)

Desired Skills:

  • Experience with OpenCV, TensorRT, or OpenVINO for vision optimization.
  • Familiarity with ML frameworks like Py Torch or Tensor Flow.
  • Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming.
  • A passion for "Agentic" workflows and continuous improvement.

Responsibilities:

  • Edge Software Integration:

Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks.

  • Full-Stack API Development:

Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends.

  • Data Architecture:

Design and manage data pipelines using Google Cloud tools (Big Query, Postgres) to handle real-time image/video data and model telemetry.

  • Web Interfaces:

Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights.

  • AI-Augmented Engineering:

Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality.

  • Incremental and Iterative Delivery:

Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuously

  • Cross-Functional Deployment:

Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.

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关于Ford

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

员工数

Dearborn

总部位置

$48B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.5

职业发展

3.2

管理层

2.8

68%

推荐率

优点

Good benefits and compensation

Work-life balance and flexibility

Supportive colleagues and positive environment

缺点

Poor management and communication

Limited career advancement

High workload and stress

薪资范围

21个数据点

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1份报告

$132,847

年薪总额

基本工资

$102,190

股票

-

奖金

-

$132,847

$132,847

面试评价

3条评价

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm