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Added 1 min ago
Application Engineer
Navy Federal Credit Union
Vienna, VA · Winchester, VA · Pensacola, FL
Experience integrating mainframe applications and automation with cloud, distributed, monitoring, event management, IT service management, and API-based solutions.
Added 3 mins ago
Elastic Agent Engineer
LEIDOS, INC.
Adelphi, MD
Enterprise Integration: Engineer scalable deployment solutions for cloud servers, traditional endpoints, virtual desktops, containerized workloads, and distributed subscriber environments.
Added 3 mins ago
Systems Integration Engineer
LEIDOS, INC.
Gaithersburg, MD
…transportation missions. Leidos is seeking a Systems Integration Engineer to join the Terminal Flight Data Manager (TFDM) program supporting the Federal Aviation Administration (FAA). In…
Added 5 mins ago
Principal Software Engineer
Mirantis
Remote, United States
…growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility.…
Added 6 mins ago
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Product Engineer (Software Engineer)
Clera
San Francisco, CA
- $120,000 to $200,000 USD / year
- Go and GCP experience are relevant; distributed systems experience is also useful.
Added 9 mins ago
HPC Systems Engineer - Associate
Numerical Algorithms Group
United States
As an HPC Systems Engineer, you will join a small, highly skilled team responsible for delivering a performant, reliable, and secure high‑performance computing (HPC) environment. In this…
Added 9 mins ago
Splunk Engineer
SpaceX
Bastrop, TX · Redmond, WA
SpaceX is hiring a Splunk Engineer to help protect and drive the SpaceX mission. Our engineers are responsible for deploying, administrating and supporting a distributed Splunk environment…
Added 9 mins ago
Splunk Engineer
SpaceX
Washington, DC · Redmond, WA
SpaceX is hiring a Splunk Engineer to help protect and drive the SpaceX mission. Our engineers are responsible for deploying, administrating and supporting a distributed Splunk environment…
Added 9 mins ago
Splunk Engineer
SpaceX
Starbase, TX · Redmond, WA
SpaceX is hiring a Splunk Engineer to help protect and drive the SpaceX mission. Our engineers are responsible for deploying, administrating and supporting a distributed Splunk environment…
Added 9 mins ago
Splunk Engineer
SpaceX
Cape Canaveral, FL · Redmond, WA
SpaceX is hiring a Splunk Engineer to help protect and drive the SpaceX mission. Our engineers are responsible for deploying, administrating and supporting a distributed Splunk environment…
Added 9 mins ago
Software Engineer
Humana Inc.
Remote, United States
We are seeking a Software Engineer with experience developing, testing, and supporting production applications. The preferred candidate will have exposure to Epic or a similar healthcare…
Added 13 mins ago
Qlik Automation Developer
Deloitte
Washington, DC
Data Engineer III supports the design, development, and deployment of scalable data solutions that enable business insights and operational efficiency. This role works across the data…
Added 13 mins ago
Software Engineer, Systems ML
Meta
Washington, DC
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…
Added 13 mins ago
Data Engineer II
Deloitte
Washington, DC
Deloitte is seeking a Data Engineer III to support the design, development, and delivery of data solutions that enable analytics, reporting, and business decision-making. This role will…
Added 13 mins ago
Qlik Automation Developer
Deloitte
Washington, DC
Data Engineer III supports the design, development, and deployment of scalable data solutions that enable business insights and operational efficiency. This role works across the data…
Added 13 mins ago
AT
Software Engineer II
Akamai Technologies, Inc.
Washington, DC
- $95,000 to $171,000 USD / year
…powering Akamai's global edge network, one of the world's largest distributed systems serving billions of daily requests. We develop mission-critical platform applications that enable…
Added 19 mins ago
Senior Associate, Mainframe Engineer – Mutual Fund Services
DTCC Candidate Experience
Jersey City, NJ · Coppell, TX · Tampa, FL · Dallas, TX
…engineering practices on COBOL/DB2/CICS/MQ, improving test/deploy automation, and capturing/curating system knowledge. You’ll also partner across Product, Operations, and distributed…
Added 19 mins ago
Principal Engineer II - Data Engineering
TMS Toyota Motor Sales, USA, Inc. Company
Plano, TX
Toyota's Digital Innovations group within TMNA's Supply Chain organization is seeking a highly experienced Principal Engineer II, Data Engineering to lead the technical strategy and…
Added 23 mins ago
Principal CI/CD Engineer
MIPS Holding Inc
United States
Own the end-to-end CI/CD strategy and automation execution for globally distributed software development teams.
Added 23 mins ago
Staff Software Engineer
natgridProd
Waltham, MA · Brooklyn, NY
As a Staff Software Engineer – Platform Integration, you'll take on a critical technical leadership role delivering and integrating the Distributed Energy Resource Management System (DERMS)…
Added 23 mins ago
Senior QA Automation Engineer - Cloud & Infrastructure Platforms (DoD / GovCloud)
NALEJ
Arlington, VA
We are seeking a Senior QA Automation Engineer to design, architect, and maintain comprehensive test automation frameworks and custom tooling for our cloud-native platforms. Operating…
Added 23 mins ago
S
Infrastructure Architect
SciTec
Boulder, CO
- $157,000 to $193,000 USD / year
Guide infrastructure and platform modernization efforts, including automation and cloud-native technologies.
Added 24 mins ago
Data Center Substation, Protection & Automation Engineer
Anthropic
Remote, United States
As a Data Center Substation, Protection & Automation Engineer, you'll own the protection and automation architecture across Anthropic's US portfolio - from the utility point of…
Added 29 mins ago
O
Senior Engineer, Core Infrastructure
Oracle
Nashville, TN
- $79,200 to $209,500 USD / year
Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages…
Added 33 mins ago
Senior AI/AML Engineer, Vice President
Citi
JERSEY CITY, NJ · Jersey City, NJ · Jersey City
Citi Wealth is seeking a highly experienced Senior AI/AML Engineering hands on senior engineer of enterprise-grade GenAI and agent-based solutions. This role is responsible for designing,…

Closed listing

Software Engineer, Systems ML

Little Rock, AR, 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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