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Software Engineer, Specs Lenses C++, Level 5
Specs Inc.
Los Angeles, CA · San Francisco, CA · Palo Alto, CA · Bellevue, WA
- $178,000 to $313,000 USD / year
We’re looking for a Software Engineer to join Lens Studio at Snap Inc!
Added 4 mins ago
T
Cloud Engineer
TEKsystems
Wichita, KS
- $55 to $65 USD / hour
The Cloud Engineer is responsible for designing, implementing, and supporting a hybrid cloud infrastructure spanning Microsoft Azure and Azure Local (Azure Stack HCI) on-premises…
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
Director, AI Engineer (Remote Eligible)
Capital One
Topeka, KS
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Added 4 mins ago
Principal Software Engineer
Highmark Health
Topeka, KS
We are seeking a visionary Principal Software Engineer responsible for building scalable public-facing software applications across Digital Member Experience channels. As a key player…
Added 4 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 4 mins ago
AT
Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Topeka, KS
- $169,300 to $304,700 USD / year
As a Principal Software Engineer Lead, you will be responsible for:
Added 4 mins ago
EG
Dev Lead
Eliassen Group
Topeka, KS
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 12 mins ago
EG
Dev Lead
Eliassen Group
Salem, OR
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 26 mins ago
Sr. Staff Software Engineer, Big Data Platform
Pinterest, Inc.
NEW YORK, NY
Added 26 mins ago
Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services - Consulting
EY
New York, NY
Forward Deployed Engineer – Applied AI - Senior Manager - Financial Services
Added 27 mins ago
Cloud Engineer 5
Capital One
New York, NY
…data with emerging technologies to join our team. As a Cloud Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital…
Added 27 mins ago
Senior Manager, Full-stack Engineer (People Leader)-EDT
Capital One
New York, NY
Lead teams utilizing programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services…
Added 27 mins ago
Technical Program Lead, AI/ML
Marsh McLennan Inc.
NEW YORK, NY
…challenges. Guide engineering direction across solutions built with Python, FastAPI, ReactJS, Kubernetes, Docker, MongoDB, PostgreSQL, GitHub, CI/CD, unified pipelines, and Databricks.…
Added 27 mins ago
Forward Deployed Software Engineer Warp Speed
Palantir Technologies
NEW YORK, NY
…Software EngineerAt Palantir, the Forward Deployed Software Engineer (FDSE) role isn't just a job title: it's the blueprint. We pioneered this unique position, embedding talented engineers…
Added 27 mins ago
Principal Engineer, Bluebook Platform
The College Board
NEW YORK, NY
…AI-enabled capabilities. Built primarily with JavaScript/TypeScript, Python, React, Node.js, and AWS, we emphasize experimentation, serverless design, thoughtful platform evolution, and…
Added 27 mins ago
Agentic AI Identity and Authorization Engineer
Mphasis Corporation
NEW YORK, NY
Added 27 mins ago
Software Engineer
Mphasis Corporation
NEW YORK, NY
Added 27 mins ago
Applied AI Engineer, Internal Tooling
Automattic, Inc.
NEW YORK, NY
Added 28 mins ago
Forward Deployed Infrastructure Engineer, New Grad US Government
Palantir Technologies
NEW YORK, NY
…LLM and AI technology!As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are…
Added 28 mins ago
CTO, Anthropic Practice
EPAM Systems
New York, NY
Still hands-on: comfortable building a prototype or demo in Python or TypeScript
Added 28 mins ago
EG
Dev Lead
Eliassen Group
Albany, NY
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Columbia, SC
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 1 hour ago
Staff SW Systems Engineer
Extreme Networks, Inc.
Seattle, WA
Title of position: Staff Software Systems Engineer
Added 1 hour ago
AI Principal SW Systems Engineer
Extreme Networks, Inc.
Remote, United States
Title of position: Principal Software Systems Engineer

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

Posting language: English
Posted: Oct 7, 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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