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Solutions Architect - Nutanix Database Service
Nutanix
Sacramento, CA
Experience: 5+ years of experience in a customer-facing pre-sales technical role (Solutions Architect, Systems Engineer, or Database Specialist Architect) within an enterprise software,…
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Cybersecurity Engineer (Cloud)
Amentum
Sacramento, CA
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Senior Cybersecurity Architect (Cloud)
Amentum
Sacramento, CA
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
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Senior Data Engineer
Highmark Health
Sacramento, CA
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Senior Reliability Engineer - DoorDash Dot
DoorDash
San Francisco, CA
We are seeking a highly motivated Senior Reliability & Test Engineer to join our team. This individual will play a key role in the development and validation of our unmanned platforms at…
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Startup Solutions Architect, Early Stage Startups
Amazon
San Francisco, CA
…You stay a builder at heart, since you don't stop being an engineer when you join this team; you prototype, write code, and get your hands dirty with new models, Bedrock, agents, and RAG…
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Startup Solutions Architect
Amazon
San Francisco, CA
…You stay a builder at heart, since you don't stop being an engineer when you join this team; you prototype, write code, and get your hands dirty with new models, Bedrock, agents, and RAG…
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Integration Engineer– Administration Division – SF Municipal Transportation Agency (1043)
City and County of San Francisco
San Francisco, CA
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Associate Territory Manager, Neurovascular - San Jose / San Francisco, CA
Medtronic
San Francisco, CA · San Jose, CA
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Senior Security Engineer, Remote in the U.S.
Cisco
San Francisco, CA
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AI Site Reliability Engineer, AI.x
Charles Schwab
San Francisco, CA
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Confluent - Distributed Systems Software Engineer - WarpStream
IBM
San Francisco, CA · San Jose, CA
…for this product offering from top to bottom, and as a Senior Engineer you’ll do everything from working on the storage engine running in the Agents, improving the scalability of our…
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Senior Fire Protection Engineer
Jacobs
San Francisco, CA
As a Senior Fire Protection Engineer based out of San Francisco, CA, you will work alongside a robust staff of experienced and licensed Fire Protection Engineers to develop and use your…
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Mid-Level Fire Protection Engineer
Jacobs
San Francisco, CA
As a Fire Protection Engineer based out of San Francisco, CA, you will work alongside a robust staff of experienced and licensed Fire Protection Engineers to develop and use your skills and…
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Fire Protection Engineer
Jacobs
San Francisco, CA
As a Fire Protection Engineer based out of San Francisco, CA, you will work alongside a robust staff of experienced and licensed Fire Protection Engineers to develop and use your skills and…
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Customer Success Engineer - Hashicorp
IBM
San Francisco, CA
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Engineer or Principal Engineer Electronics - Comms SMT
Northrop Grumman
Palmdale, CA · San Diego, CA
Northrop Grumman’s Aeronautics Systems sector is seeking an Engineer or Principal Engineer Electronics - Comms . This onsite position can be performed at Tinker AFB, OK, Rancho Bernardo,…
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Flight Sciences Integrator - Aeronautical Engineer
Northrop Grumman
San Diego, CA · Palmdale, CA · Manhattan Beach, CA · Redondo Beach, CA · El Segundo, CA
The Aeronautics Engineering organization is seeking an Engineer Aeronautical/ Principal Engineer Aeronautical – Flight Sciences Integration to support the Flight Sciences technical…
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Quality Assurance/Quality Control Manager
Leidos
San Diego, CA
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Guidance Navigation Controls Engineer
Northrop Grumman
San Diego, CA
R&AD has an opening for a Guidance Navigation Controls Engineer to join our team! This position can be filled in Rancho Bernardo, CA or Roy, Utah.
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Sr. Principal Engineer Systems
Northrop Grumman
San Diego, CA
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SWE2: AI Builder
Intuit
SAN DIEGO, CA · MOUNTAIN VIEW, CA
We are looking for an exceptional Full-Stack Software Engineer who thrives in ambiguity, operates with a high degree of autonomy, and moves with blistering speed. In this role, you won't…
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Senior Principal Engineer - Survivability (California)
Northrop Grumman
San Diego, CA · Palmdale, CA
Northrop Grumman Aeronautics Systems is looking to add a Senior Principal Engineer - Survivability to join our team in either Palmdale, CA , or Rancho Bernardo, CA . The successful…
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Staff Engineer - Survivability (California)
Northrop Grumman
Palmdale, CA · San Diego, CA
Northrop Grumman Aeronautics Systems is looking to add a Staff Engineer - Survivability to join our team in either Palmdale, CA , or Rancho Bernardo, CA . The successful candidate will have…
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Clinical Specialist, Peripheral Nervous System (PNS) - San Diego, CA
Medtronic
San Diego, CA

Closed listing

Software Engineer, Systems ML

Springfield, IL, 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
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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