{bc}
Apply
company_site

Software Engineer, Systems ML - Compilers / Backend

Meta
Sunnyvale, USA
Full-time
Entry · 1+ years experience
Onsite
USD 121992-181000 yearly / year
Discovered 1 weeks ago
PythonCC++GPUTPUPyTorch
Free

Job Fit Check

Base Career helps you apply smarter for this job.

?%
Ready to Scan

Key skills for this role

PythonCC++
Smart Apply

Full Job Posting

Responsibilities

  • Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators
  • Work with algorithm research teams to support the co-design of hardware features mapping ML graphs to hardware implementations, modeling data-flows, creating cost-benefit analysis and estimating silicon power and performance
  • Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability
  • Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
  • Collaborate with the team to enhance the efficiency, scalability, and stability of our toolchains by focusing on kernel optimization and tuning
  • Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues
  • Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa

Minimum Qualifications

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis
  • Experience in AI framework development or accelerating models on hardware architectures (GPU, TPU, custom AI ASICs)
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • Experience working and communicating cross functionally in a team environment
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc
  • Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • 1+ years of experience developing compilers or similar code optimization software
  • Experience with machine-code generation or compiler back-ends for on-device inference workloads
  • Experience developing high-performance kernels or runtime components and tuning them for inference specific accelerator platforms

Compensation

  • $121,992/year - $181,000/year; Country: US; Bonus eligible; Equity eligible

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Meta

Product Manager, Agent Enablement

London, GBR

Discovered TodayFull-time

Technical Program Manager

Redmond, USA

Discovered TodayFull-time

NPI Operations Program Manager

Sunnyvale, USA

Discovered TodayFull-time

Project Manager, Verification Operations

Austin, USA

Discovered TodayFull-time

Sales Strategy and Planning Operations Lead, GBG Americas

Austin, USA

Discovered TodayFull-time

Product Designer

London, GBR

Discovered TodayFull-time

Logistics Operations Manager, Site Services

Temple, USA

Discovered TodayFull-time

Nanofabrication Engineer, Optical Systems

Redmond, USA

Discovered TodayFull-time