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Senior Engineer - Global Rates eTrading Tech
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United States
Experience as a lead software engineer building electronic trading solutions
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Engineer I/II - Systems-Embedded Engineer
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Senior Electrical Engineer - Mission Critical - Austin
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The Senior Electrical Engineer will lead electrical design project teams to create world class designs for new projects, alterations and redevelopments on a variety of projects including…
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Senior QMS Engineer
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As a Senior Quality Management Systems Engineer here at Honeywell Aerospace, you will play a critical role in ensuring the highest standards of quality for our products and processes. You…
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New Product Development Design Engineer
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Construction Project Engineer, Aerospace
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PPG's Aerospace Business is looking for an experienced Project Engineer - Aerospace Manufacturing Construction Projects to join our team in Mojave, CA! In this role you will be responsible…
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Program Development Manager
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Extraordinary teams building inspiring projects:
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Lead schedule review meetings and communicate project status to stakeholders
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Midwest Surface Water Practice Lead
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…water and water resources with a passion for developing people, building client relationships, and growing a high-performing regional practice. The Practice Lead will work closely with the…

Closed listing

Software Engineer, Systems ML

Columbia, SC, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 6+ years of experience in software engineering with a focus on machine learning systems, AI infrastructure, or high-performance computing
Posting language: English
Posted: Sep 15, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In this role, you will design and develop high-performance ML systems, working across the full stack from model training and inference pipelines to hardware-aware optimizations. You will collaborate with researchers, platform engineers, and product teams to accelerate ML workloads and improve the efficiency of AI infrastructure that serves billions of users.

Required Skills:

Software Engineer, Systems ML Responsibilities:

Design, build, and optimize large-scale ML training and inference systems, including distributed computing frameworks and hardware-accelerated pipelines
Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring reliability, scalability, and low-latency execution
Identify and resolve performance bottlenecks across the ML stack using profiling, instrumentation, and benchmarking tools
Architect and evaluate trade-offs in ML system design, including memory bandwidth, compute utilization, and I/O throughput
Partner with research and product teams to translate ML model requirements into efficient infrastructure solutions
Define and track system-level metrics and service level objectives to maintain production reliability of ML serving systems
Lead technical design reviews and contribute to engineering standards for ML systems across the organization
Mentor other engineers on ML infrastructure best practices, debugging methodologies, and performance optimization techniques
Drive adoption of AI-augmented development workflows to expand engineering productivity and broaden the scope of deliverables
Contribute to staged rollout strategies using feature flagging and experimentation frameworks to safely deploy ML system changes

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6+ years of experience in software engineering with a focus on machine learning systems, AI infrastructure, or high-performance computing
Experience developing and optimizing ML training or inference pipelines using frameworks such as PyTorch, TensorFlow, or equivalent
Experience with distributed computing architectures and large-scale systems design for ML workloads
Experience programming in C++ and Python for performance-critical systems
Experience using profiling and performance analysis tools to identify and resolve bottlenecks in ML or compute-intensive systems

Preferred Qualifications:

Experience optimizing large-scale ranking and recommendation model inference on AI accelerator hardware
Experience with hardware-software co-design, including numerics optimization and SIMD or vectorization techniques
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with GPU programming using CUDA, ROCm, or equivalent hardware accelerator kernel development
Experience with ML compiler technologies such as MLIR, LLVM, TVM, XLA, or IREE
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Public Compensation:

$154,003/year to $217,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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More about this job

Skills

ML
Distributed computing
C++
Python
Research
Debugging
Computer science
Computer engineering
Machine learning
PyTorch
TensorFlow
Hazard assessment

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