Iron Systems, Inc
Software Engineer V
Location: US – NY – New York
Iron Systems is an innovative, customer-focused provider of custom‑built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances, and embedded systems. For more than 15 years, customers have trusted us for our innovative problem‑solving combined with holistic design, engineering, manufacturing, logistics, and global support services.
Responsibilities
Engineer, design, implement, and improve highly‑scalable machine learning systems and tools for enabling research.
Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects.
Write clean and robust machine learning code; contribute to open‑source projects.
Minimum Qualifications
Degree in Computer Science, Computer Engineering, or a relevant technical field.
5+ years of experience with deep learning.
Experience developing machine learning algorithms or infrastructure in Python or C/C++.
Experience with machine learning frameworks such as PyTorch and distributed optimization techniques such as FSDP/DDP.
Experience working with large datasets and data pipelines; solid understanding of algorithms, data structures, and software engineering best practices.
Demonstrated ability to work collaboratively in a fast‑paced, team‑oriented environment.
Excellent problem‑solving and communication skills.
Preferred Qualifications
Demonstrated software engineering experience via work experience, or widely used contributions in open‑source repositories (e.g., GitHub).
Prior contributions to open‑source AI/ML projects.
#J-18808-Ljbffr
Iron Systems is an innovative, customer-focused provider of custom‑built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances, and embedded systems. For more than 15 years, customers have trusted us for our innovative problem‑solving combined with holistic design, engineering, manufacturing, logistics, and global support services.
Responsibilities
Engineer, design, implement, and improve highly‑scalable machine learning systems and tools for enabling research.
Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects.
Write clean and robust machine learning code; contribute to open‑source projects.
Minimum Qualifications
Degree in Computer Science, Computer Engineering, or a relevant technical field.
5+ years of experience with deep learning.
Experience developing machine learning algorithms or infrastructure in Python or C/C++.
Experience with machine learning frameworks such as PyTorch and distributed optimization techniques such as FSDP/DDP.
Experience working with large datasets and data pipelines; solid understanding of algorithms, data structures, and software engineering best practices.
Demonstrated ability to work collaboratively in a fast‑paced, team‑oriented environment.
Excellent problem‑solving and communication skills.
Preferred Qualifications
Demonstrated software engineering experience via work experience, or widely used contributions in open‑source repositories (e.g., GitHub).
Prior contributions to open‑source AI/ML projects.
#J-18808-Ljbffr