Iron Systems, Inc

Software Engineer III

Iron Systems, Inc, Seattle

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Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems. For more than 15 years, customer have trusted us for our innovative problem solving combined with holistic design, engineering, manufacturing, logistic and global support services.
Job Title: Software Engineer III
Location: US - WA - Seattle
Job Description: Software Engineer III

We are a team at Fundamentals AI Research (FAIR) and we are building interactive AI agents that deliver personalized, context-aware experiences by adapting to diverse user behaviors and communication styles.
This role involves designing and developing scalable, robust software systems that enable intelligent agent interactions in complex, dynamic environments.
This role focuses on building, maintaining and optimizing solutions in support of Machine Learning (ML) Research including but not limited to data annotation tools, data analysis and visualization pipelines, and software development using SOTA ML ecosystems such as PyTorch, Docker, AWS etc.

Job Responsibilities:

Engage with the team early on to seek a deeper appreciation of the team's goals.
Analyze needs and requirements to determine feasibility of fulfilling requirements within time and cost constraints.
Coordinate and work closely with research and XFN (UXR, data science) teams to clarify requirements, iteratively.
Understand, then extend or replace existing implementations.
Create CI/CD pipelines.
Design, develop, and iterate deployment solutions for the final product.

Minimum Qualifications

Experience in software design and development
Experience deploying software solutions on cloud platforms
Experience with Python, including package management, build tooling, and C++/Python interfaces.
Familiarity with notebook Frameworks such as Jupyter and matplotlib, as well as tools like pip, conda, clang, julia, pybind, and cython
Experience optimizing hardware and software to meet deployment workloads
Strong communication and problem-solving skills

Preferred Qualifications

Understanding of Machine Learning would be helpful
Experience optimizing deployments using Docker and AWS. Familiarity with the ML ecosystem (e.g., PyTorch) and ML model serving (e.g., Torchserve) is helpful but not mandatory

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting

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