Senior Data & AI Services Engineer | Hybrid Role

Siemens AG; Parsippany-Troy Hills (NJ); Hybrid; USD 193,000 - 208,000; Full time

Benefits offered by this job

Health benefits

Time off & PTO

Job summary

Siemens AG in Parsippany, NJ seeks a Senior Software Engineer for Data and AI Services to design, develop, and maintain backend services and distributed components. You will implement features using Python, Go, and TypeScript, build microservices and REST APIs, and work with cloud infrastructure such as AWS, Kubernetes, Redis, PostgreSQL, S3, and Terraform.

You will also integrate machine learning frameworks like PyTorch, HuggingFace, and ONNX Runtime into production systems, perform performance

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Information Technology, or related field and 60 months of experience in job offered or in a Software Engineer-related occupation.
• Deploying AI/ML services using Python, Go, Kotlin/Java, or TypeScript.
• Integrating machine learning models and frameworks including PyTorch, Huggingface, Docker OR ONNX Runtime into production pipelines.
• Utilizing AWS, Kubernetes, Redis, message queues, or SQL/NoSQL databases to build cloud infrastructures.

Responsibilities

• Design, develop, test, and maintain backend software services and distributed system components.
• Implement software features using Python, Go, and TypeScript in cloud-native environments.
• Build and maintain microservices, REST APIs, and service-oriented system components.

Skills

Python

Go

TypeScript

Distributed systems

Education

Bachelor's degree

Tools

AWS

Kubernetes

Redis

PostgreSQL

S3

Terraform

PyTorch

ONNX Runtime

Docker

GitHub Actions

Job description

Siemens AG in Parsippany, NJ seeks a Senior Software Engineer for Data and AI Services to design, develop, and maintain backend services and distributed components. You will implement features using Python, Go, and TypeScript, build microservices and REST APIs, and work with cloud infrastructure such as AWS, Kubernetes, Redis, PostgreSQL, S3, and Terraform.

You will also integrate machine learning frameworks like PyTorch, HuggingFace, and ONNX Runtime into production systems, perform performance