Senior Software Engineer, Controls Systems - Hybrid/Onsite

ASML US, LLC; San Diego (CA); Hybrid; USD 134,000 - 197,000; Full time

Benefits offered by this job

401k plan

Medical, dental, vision insurance

Paid holidays

Vacation leave

Job summary

ASML US, LLC in San Diego, CA seeks a Software Engineer to design and code distributed control system software with AI integration focus. You will collaborate with software and control engineers in an Agile team to meet stringent performance and reliability requirements.

The role involves real-time hardware interfaces, multi-processor environments, and software for diagnostics and control, with opportunities to apply NLP/AI techniques and modern frameworks.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or related Eng/Science fields.
• 5+ years in technical development role with strong software engineering skills.
• Delivered 3+ mid to large scale software projects with demonstrable quality.
• Proven ability to guide a team in coding efforts for a distributed control system across C++ and Python on VxWorks/Linux.

Responsibilities

• Work in a team of software and control system engineers to deliver software for semiconductor tech.
• Use Agile methodologies to develop software using C++ and Python on Linux-based environments.
• Design modular, scalable software meeting customer requirements and perform unit/on-target testing.
• Interface with stakeholders to understand requirements and ensure system interoperability.

Skills

C++

Python

Embedded development

OO Design

NLP

TensorFlow

PyTorch

Keras

Transformers

TCP/IP

Education

Bachelor's degree in Computer Science/Engineering

Tools

PostgreSQL

Qt

Linux OS

Xilinx SOC

TCP/IP

Job description

ASML US, LLC in San Diego, CA seeks a Software Engineer to design and code distributed control system software with AI integration focus. You will collaborate with software and control engineers in an Agile team to meet stringent performance and reliability requirements.

The role involves real-time hardware interfaces, multi-processor environments, and software for diagnostics and control, with opportunities to apply NLP/AI techniques and modern frameworks.