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Added 4 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Wichita, KS
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients' critical cyber assets. In this role, you…
Added 4 mins ago
Product Manager
Meta
Topeka, KS
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,…
Added 5 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Topeka, KS
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 5 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Topeka, KS
As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented…
Added 26 mins ago
Staff AI Deployment Strategist
Altana Technologies, Inc.
BROOKLYN, NY
Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade…
Added 27 mins ago
Product Engineer, Computer Use
Anthropic PBC
NEW YORK, NY
About AnthropicAnthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is…
Added 28 mins ago
CTO, Anthropic Practice
EPAM Systems
New York, NY
Core AI depth: a hands-on background in machine learning or NLP that predates LLMs, plus a working grasp of how LLMs are trained, evaluated, and deployed (fine-tuning vs. retrieval vs.…
Added 1 hour ago
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HPC Storage & Data Management Engineer
PDS Tech Commercial
Greenville, SC
- $59.95 USD / hour
Support AI and machine learning readiness by ensuring simulation data is accessible, organized, and governed effectively
Added 1 hour ago
ENGINEER METROLOGY 3
HII
Goose Creek, SC
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled…
Added 1 hour ago
Staff SW Systems Engineer
Extreme Networks, Inc.
Seattle, WA
As a Staff Forward Deployed Engineer, you will be the technical lead for complex customer engagements, owning solutions from discovery and architecture through implementation, deployment,…
Added 1 hour ago
AI Principal SW Systems Engineer
Extreme Networks, Inc.
Remote, United States
Serve as a thought leader and forward thinker, helping define and drive an innovative technical vision across our products and platforms. Design and launch strategic capabilities spanning…
Added 1 hour ago
Network Engineer, Foundation & Support (Edge and Network Services Product Lifecycle Support)
Meta
Denver, CO
Network Engineer, Foundation & Support (Edge and Network Services Product Lifecycle Support) Responsibilities:
Added 1 hour ago
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(USA) Staff, Software Engineer
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
…delivering intelligent, real-time insights through embedded machine learning for self-healing. Focused on innovative software design and scalable distributed system architecture, the team…
Added 2 hours ago
Intern/Co-Op-Software Engineer
Consumers Energy
JACKSON, MI
Proficiency in Python and experience with machine learning frameworks
Added 2 hours ago
New College Grad - Yield Enhancement Electrical Failure Analysis Engineer
Micron Technology, Inc.
Boise, ID
Apply AI, machine learning, statistical methods, and advanced analytics techniques to accelerate defect identification, yield trending, anomaly detection, predictive analysis, and root…
Added 2 hours ago
Intern - Probe Equipment Engineer
Micron Technology, Inc.
Boise, ID
In this role, you will leverage data analytics, automation, AI, and machine learning technologies to improve equipment reliability, accelerate problem-solving, and drive manufacturing…
Added 3 hours ago
Senior Data Scientist
Fractal Analytics Inc
NY
We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 8 years of industry experience. The ideal candidate will have a strong background in machine learning,…
Added 3 hours ago
Staff Solutions Engineer - FDSE - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
3+ years' experience in Generative and Agentic AI, machine learning platforms, container orchestration (Kubernetes), and event-driven architectures across cloud-native + hybrid platforms…
Added 3 hours ago
Staff Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
3+ years' experience in Generative and Agentic AI, machine learning platforms, container orchestration (Kubernetes), and event-driven architectures across cloud-native + hybrid platforms…
Added 4 hours ago
FinOps Cloud Engineer | Active Secret clearance
GD Information Technology, Inc.
Remote, United States
As a FinOps Cloud Engineer, you will collaborate with engineering and operations teams to design, optimize, and manage cloud and automation capabilities that enable reliable, secure, and…
Added 4 hours ago
Software Engineer, Hybrid
Cisco Systems, Inc.
RTP, NC · San Jose, CA
Proven experience in working with AI-native frameworks and integrating machine learning capabilities into enterprise applications to drive innovation and automated decision-making.
Added 4 hours ago
Director, AI Engineer (Remote Eligible)
Capital One
Dover, DE
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 5 hours ago
Software Development Engineer, PXT Central Science
Amazon.com Services LLC
Bellevue, WA
Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms…
Added 6 hours ago
Senior Staff Engineer - Agentic Identity
Cisco Systems, Inc.
Remote, United States
Join us as we pursue our vision to make machine data accessible, usable, and secure for everyone. As AI agents rapidly emerge as active users - executing searches, calling APIs, and…
Added 6 hours ago
Senior Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
2+ years' experience in Generative and Agentic AI, machine learning platforms, container orchestration (Kubernetes), and event-driven architectures across cloud-native + hybrid platforms…

Closed listing

Software Engineer, Systems ML

Phoenix, AZ, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Oct 8, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across our Systems ML Engineering organization. In this role, you will define the architectural foundations that power large-scale machine learning infrastructure, spanning training systems, inference pipelines, ML compilers, high-performance computing frameworks, and on-device optimization. You will identify and solve the hardest cross-system ML infrastructure challenges, shape multi-year technical roadmaps, and amplify the impact of engineering teams through AI-native workflows and deep systems expertise. This is a role for engineers who identify problems others miss and drive them to resolution at organizational scale.

Required Skills:

Software Engineer, Systems ML Responsibilities:

Identify and solve the most complex cross-system ML infrastructure challenges spanning training, inference, compiler optimization, and hardware-software co-design, including problems that have resisted prior solution attempts
Define extensible architectural standards and technical foundations for ML systems that enable consistency and reliability across multiple engineering organizations
Develop and own the multi-year technical roadmap for ML systems infrastructure, balancing short-term delivery with long-term platform health and competitive positioning
Leverage AI-native tooling and workflows as a force multiplier to eliminate entire categories of engineering toil and accelerate cross-disciplinary work across the ML systems stack
Drive performance improvements across large-scale ML training and inference systems by identifying bottlenecks that span multiple subsystems, ownership boundaries, and abstraction layers
Establish invariants, correctness proofs, and systemic reliability practices that prevent whole classes of failures across ML infrastructure pipelines
Partner with research, hardware, and product engineering teams to translate theoretical ML systems advances into production infrastructure that delivers measurable efficiency and capability gains
Assess emerging AI and computing technologies, evaluate competitive ML infrastructure trends, and influence organizational strategy to ensure technical competitiveness
Mentor engineers across the organization by providing customized coaching, leading engineering programs, and establishing a culture of thoroughness and high craft in ML systems development
Communicate complex ML systems architecture and strategy clearly to technical and non-technical audiences, producing reference-quality design documents and roadmap artifacts

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12+ years of experience in software engineering with deep specialization in one or more ML systems domains including AI infrastructure, ML compilers, high-performance computing, GPU architecture, ML frameworks, or on-device optimization
Experience architecting and delivering large-scale ML training or inference infrastructure that has had measurable impact across multiple engineering organizations
Experience leading multi-year cross-functional technical initiatives, including defining metrics, managing dependencies, and driving execution across organizational boundaries
Experience developing high-performance ML systems infrastructure in C++, Python, or CUDA, including work at the intersection of hardware and software
Experience influencing technical direction and engineering practices across multiple teams through written proposals, design reviews, and stakeholder alignment

Preferred Qualifications:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience contributing to industry-wide ML systems efforts through publications, open-source projects, or standards bodies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Track record of applying AI tools and automation to redesign engineering workflows, with demonstrated efficiency or quality improvements at organizational scale
Experience with ML compiler stacks such as MLIR, XLA, or TVM, or with hardware-software co-design for custom ML accelerators
Experience defining and operationalizing reliability, performance, and correctness standards for distributed ML training or large-scale inference systems

Public Compensation:

$219,000/year to $301,000/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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