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Solutions Architect - Nutanix Database Service
Nutanix
Sacramento, CA
Architectural Blueprinting: Design and present complex, enterprise-grade database architectures tailored to customer requirements - specifically linking NDB to structured AI data prep…
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Senior Cybersecurity Architect (Cloud)
Amentum
Sacramento, CA
Design and implement security controls and reusable patterns across Microsoft 365 Commercial and GCC High, Azure, AWS, and hybrid services, including cloud guardrails, landing zones,…
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Senior Data Engineer
Highmark Health
Sacramento, CA
This role is an integral senior member of a technical team, responsible for supporting the design, development, and maintenance of the organization's data infrastructure, ensuring the…
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Senior Reliability Engineer - DoorDash Dot
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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
Provide technical input and recommendations regarding integration approaches, interface design, system architecture, and testing methodologies.
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Associate Territory Manager, Neurovascular - San Jose / San Francisco, CA
Medtronic
San Francisco, CA · San Jose, CA
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Confluent - Distributed Systems Software Engineer - WarpStream
IBM
San Francisco, CA · San Jose, CA
…work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and…
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Jacobs
San Francisco, CA
The Engineer will be directing the activities of design staff to produce drawings and calculations for fire sprinkler systems, special hazards suppression systems, fire pumps, fire alarm…
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San Francisco, CA
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San Francisco, CA
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IBM
San Francisco, CA
Through continuous engagement, CSEs help clear technical blockers, optimize solution design, and accelerate time-to-value for Customers adopting HashiCorp tooling. The CSE team demonstrates…
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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
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Quality Assurance/Quality Control Manager
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System Documentation: Design, evaluate, and write process documentation, including Standard Operating Procedures (SOPs), Work Instructions (WIs), Test Plans, Acceptance Criteria Matrices,…
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Closed listing

Software Engineer, Systems ML

Indianapolis, IN, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

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.

About employer

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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