Staff Software Engineer, Performance & Kernel Systems

Google DeepMind

New York (NY)

On-site

USD 207,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Equity
Bonus target

Job summary

Google DeepMind in Mountain View, CA is seeking a Software Engineer to develop and optimize low-level performance software for next-generation systolic array accelerators and to collaborate with ML researchers on high-value algorithms.

The role requires extensive software development experience and a track record in performance analysis within a matrixed organization. Competitive compensation, equity, and benefits are offered.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of software development experience.
  • 5 years of testing and launching software products.
  • 5 years of power or performance modeling or system performance analysis.
  • 5 years of Linux kernel development and software/hardware architecture.
  • 3 years of software design and architecture.

Responsibilities

  • Write low-level performance software for a new systolic array accelerators.
  • Identify high-value algorithms and problems for the new machines.
  • Build programming infrastructure to ease programming on the accelerator for performance and general software engineers.
  • Collaborate with application, algorithm, and performance-tuning experts to codesign solutions for efficiency, performance, and programmability.
  • Communicate performance results to team and partner teams.

Skills

Software development
Testing & launching software
Performance modeling
Linux kernel development
System architecture

Education

Bachelor’s degree or equivalent practical experience
Master’s degree or PhD in Engineering/CS

Job description

Google DeepMind in Mountain View, CA is seeking a Software Engineer to develop and optimize low-level performance software for next-generation systolic array accelerators and to collaborate with ML researchers on high-value algorithms.

The role requires extensive software development experience and a track record in performance analysis within a matrixed organization. Competitive compensation, equity, and benefits are offered.

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