Lead Software Engineer - Datacenter Platform & Hardware

AMD

Secaucus (NJ)

On-site

USD 150,000 - 240,000

Full time

30 hours ago
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Job summary

AMD in Secaucus, NJ seeks a Lead Software Development Engineer focused on hardware integration. You will drive software across datacenter platforms, mentor junior engineers, and collaborate with hardware teams to deliver scalable, high-quality products.

The role requires strong software architecture skills, experience with Linux/Windows, and proficiency in languages such as Python, C/C++, as well as containerization tools like Docker and Kubernetes. Travel up to 25% may be required.

Qualifications

  • Bachelor's or Master's degree in Computer/Software Engineering, CS, or related field.
  • Strong software engineering and system design experience.
  • Experience with datacenter hardware integration.
  • Experience mentoring junior engineers.
  • Excellent problem-solving and communication skills.

Responsibilities

  • Develop and drive execution of comprehensive software for new technology and product introductions.
  • Validate new features before release.
  • Work with customers to support manufacturing processes.
  • Contribute to a high-functioning feature team.
  • Collaborate across teams to deliver planning solutions and supporting technology.
  • Design scalable, durable software architectures for datacenter systems.
  • Provide mentorship to junior engineers.
  • Up to 25% travel.

Skills

Programming languages
Containerization
OS knowledge
HW interfaces
Software architecture
DC/datacenter
Problem solving

Education

Bachelor's/Master's degree

Tools

Docker
Kubernetes
Slurm
IPMI/Redfish

Job description

AMD in Secaucus, NJ seeks a Lead Software Development Engineer focused on hardware integration. You will drive software across datacenter platforms, mentor junior engineers, and collaborate with hardware teams to deliver scalable, high-quality products.

The role requires strong software architecture skills, experience with Linux/Windows, and proficiency in languages such as Python, C/C++, as well as containerization tools like Docker and Kubernetes. Travel up to 25% may be required.

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