Senior Software Production Engineer, Infrastructure Software for AI

Sb Telecom; Sunnyvale (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

SB Telecom is seeking a Senior Software Production Engineer to lead the development of test-automation infrastructure for AI workloads on GPU systems. The ideal candidate will have substantial experience in systems engineering and automation, with a proven track record of leading impactful projects. Join a forward-thinking team dedicated to transforming the AI landscape and enhancing infrastructure systems, offering an attractive salary and benefits in Sunnyvale, CA.

Benefits

Medical insurance

Vision insurance

401(k)

Biannual bonuses

Qualifications

• 7+ years in software/hardware engineering, especially in distributed systems.
• Experience leading teams on high-impact projects.
• Deep experience with production automation and Kubernetes.

Responsibilities

• Develop test-automation infrastructure for Kubernetes on GPU clusters.
• Build detailed test plans and operationalize them.
• Drive innovation in software testing and automation.

Skills

Leadership

Automation

Kubernetes

GPU Computing

Systems Engineering

Education

Bachelor's degree in Computer Science or Electrical Engineering

Master's or PhD in a relevant field

Job description

Senior Software Production Engineer, Infrastructure Software for AI

Senior Software Production Engineer, Infrastructure Software for AI

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SB Telecom America Corp. provided pay range

This range is provided by SB Telecom America Corp.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $250,000.00/yr

About Softbank: Softbank is making significant investments in infrastructure for AI. Softbank Corp. has recently established a new US center in Silicon Valley, focused on infrastructure software for AI and AI foundations for mobile networks. Our goals are to challenge the norms and create products making use of our SOTA infrastructure (like Nvidia GB200, MGX and DGX Grace & Hopper platforms) and cloud-native software. These products are geared towards centralized AI data centers as well as distributed AI Radio Access Network (AI RAN) data centers. We are looking for experienced practitioners who are inspired to bring innovation and build transformative products.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• 7+ years in software, hardware, engineering, including platforms and distributed systems.
• 2 years in lead roles, leading high-impact projects and teams.
• Experience working in systems & systems SW, Cloud and Kubernetes.
• Deep experience with production-testing and automation of Kubernetes deployments.

Preferred Qualifications:

• Master's or PhD in a relevant field.
• Expertise in building scalable test and automation infrastructure to productionize workloads.
• Experience with GPU platforms (Nvidia DGX, H100, GB200) and high-performance computing environments.
• Experience triaging customer bugs, prioritizing, and resolving issues in production.
• Familiarity with AI developer frameworks, tools, and automation systems.

Role: Be a key member of the infrastructure team responsible for building foundational software on top of GPU systems supporting AI workloads (training, fine-tuning and serving). Own and develop the test-automation infrastructure for Kubernetes and GPU systems. Drive process innovation in end-end systems software testing and automation for productionization velocity. As a Senior Software Production Engineer responsible for the entire test-automation infrastructure, work with Staff Engineers, product management and program management to drive execution towards commercialization.

Responsibilities:

• Develop and build test-automation infrastructure for Kubernetes on large-scale GPU clusters.
• Build detailed test plans for different milestones and operationalize them in test-automation infrastructure.
• Build and own automation of the end-end system, scale and stress testing.
• Working together with SW leads and Technical Program Manager, qualify the releases for milestones.
• Attract and help build downstream production engineering talent.
• Role model and foster a culture of humility and innovation for product delivery.

Salary: The base salary for this position ranges from ($150,000-$250,000), with additional attractive biannual bonus, benefits and opportunity to work with a great team in downtown Sunnyvale, CA.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Management and Manufacturing

• Industries

  IT Services and IT Consulting and Telecommunications

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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