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Open nowPosted today

Software Engineer, Infrastructure

MyCareersFuture97,045 open roles

Pay
SGD 13,500 – SGD 20,840 a Monthly
Where
Central, Singapore
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Your applicationOpen nowSoftware Engineer, InfrastructureMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 3 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 3 days open

The posting

The ML Infra team is focusing on ML Infra performance and efficiency for both large-scale AI training and inference workflows in the recommendation domain.

In this role, you will work on optimizing the end-to-end stack for model training and inference for large-scale recommendation models, with opportunities coming from the domains of distributed systems, model/system co-design, GPU optimizations, and more.

While the core of day-to-day work and key responsibility will be to identify and lead the execution for short/mid-term opportunities for efficiency optimization, you will also drive long-term strategies and shape team direction on things like model/system co-design, performance automation, regression detection and mitigation, etc.

Responsibilities

  • Identify performance opportunities and bottlenecks across a wide range of recommendation models, infrastructure and systems
  • Implement changes to capture efficiency improvements
  • Guide other engineers both inside and outside the team to execute on efficiency and performance opportunities, issues and bottlenecks
  • Drive cross-functional collaborations and alignments with multiple partner or product ML teams
  • Define technical direction(s), strategy and roadmap for the team
  • Provide mentorship and guidance to grow other teammates

Minimum Qualifications

  • BS/MS in Electrical Engineering, Computer Science or a related field or equivalent experience
  • 5+ years of experience in AI Infra or System performance
  • Hands-on experience in optimizing complex software solutions, such as distributed systems, large-scale CPU/GPU clusters, or similar
  • Demonstrated experience in driving team execution and reaching alignment with cross-functional partners
  • Previous experience in mentoring and growing software and/or machine-learning engineers as either a tech lead or a manager
  • Capacity to investigate and debug issues in complex systems, including ones spanning multiple components or sub-systems

Preferred Qualifications

  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in high performance computing including communication optimization, CUDA kernel optimization, distributed training and inference, etc
  • Experience in training and/or inference solutions for large models (e.g. recommendation models or LLMs)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Hands-on experience with large-scale AI infra systems (for example, GPU training clusters)

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