Software development jobs in the United States

Explore software development jobs in the United States. Choose a role or place to find work that fits.

Counted Oct 31, 2026

Hiring at a glance

View jobs

Open jobs: 51,490
Employers: 9,808

Advertised starting pay

Average starting payUSD / year: $141,392Across 10,906 listings
Average starting payUSD / hour: $57.46Across 2,239 listings
Average starting payUSD / month: $13,529Across 52 listings
Average starting payCAD / year: $133,360Across 44 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 9%4,478 listings
Hybrid: 7%3,621 listings
On-site: 15%7,815 listings

Not specified: 69% (35,576 listings)

Employers hiring include Lockheed Martin (672), Akamai Technologies, Inc. (671), Salesforce.com (606).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in the United States

Save this search

Added 5 mins ago
GA
Senior Software Engineer Containerized Applications TS/SCI
Geospatial And Cloud Analytics Inc
Qua, VA
- $170,000 to $190,000 USD / year
We are seeking a highly skilled Senior Software Engineer / Containerized Applications Specialist to join our team supporting the Naval Criminal Investigative Service (NCIS) in Quantico,…
Added 8 mins ago
Front End Software Developer
CACI International
Sterling, VA
CACI is seeking an experienced Front End Software Developer to join a multidisciplined team to work on delivering the next generation of mission management systems. The ideal candidate will…
Added 9 mins ago
Lead Cloud Architect (2026-0135)
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Chantilly, VA
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Chantilly, VA
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Chantilly, VA
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Software Test Engineer (Integrated Training Systems) - 30882
Huntington Ingalls Industries
Virginia Beach, VA
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Site Reliability Engineer
Highmark Health
Richmond, VA
…standards of care and operational efficiency. This role blends software engineering,…
Added 19 mins ago
AT
Senior Azure Cloud Architect
AHU Technologies Inc
Washington, DC
- $80 to $85 USD / hour
Added 19 mins ago
Staff Software Engineer
Raydar
San Francisco, CA
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Senior Software Engineer, Full Stack
Raydar
San Francisco, CA
Added 19 mins ago
Backend Software Engineer
Raydar
San Francisco, CA
Our client is a fast-growing software company.
Added 30 mins ago
Lead Software Development Engineer
MetLife
Cary, NC
Added 30 mins ago
VG
Senior Software Engineer
Volvo Group
Greensboro, NC
- $111,100 to $137,200 USD / year
Added 31 mins ago
Sr Software Engineer - Terraform Foundations
IBM
Raleigh, NC
At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of…
Added 31 mins ago
Site Reliability Engineer
Highmark Health
Raleigh, NC
…standards of care and operational efficiency. This role blends software engineering,…
Added 47 mins ago
Full-Stack Software Engineer
Raydar
New York, NY
…full-stack features and backend services for internal business software, owning work from concept through production. Partner with domain specialists to turn complicated operational logic…
Added 47 mins ago
Founding Software Engineer
Raydar
San Francisco, CA
…with the company's leaders. You will design, build and release software across the stack, and help set technical direction as the team…
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Backend Software Engineer
Raydar
San Francisco, CA
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Site Reliability Engineer
Highmark Health
Hartford, CT
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Added 1 hour ago
Full Stack Software Engineer II
SONY CORPORATE SERVICES GROUP INC
MADISON, WI
Added 1 hour ago
Full Stack Software Engineer II
SONY CORPORATE SERVICES GROUP INC
MADISON, WI
Added 1 hour ago
Site Reliability Engineer
Highmark Health
Madison, WI
…standards of care and operational efficiency. This role blends software engineering,…
Added 1 hour ago
Software Verification Engineer
GE HealthCare
Madison, WI
…improve patient outcomes through cutting-edge medical devices and software that empower clinicians…
Added 1 hour ago
JC
Site Reliability Engineer-FinOps Analyst
JOHNSON CONTROLS, INC.
MILWAUKEE, WI
- $95,219.8 USD / year
…53209 JOB DESCRIPTION: Help the team identify and manage global software and hosted cloud spend, compile and distribute financial reports for Business owners. Visualize the data via reports…
Added 1 hour ago
BA
Remote Sensing Software Engineer, Senior
Booz Allen Hamilton
Aurora, CO
- $86,900 to $198,000 USD / year
As a senior Remote Sensing Software Engineer, you will architect advanced SDA and remote sensing exploitation pipelines, guide technical direction, and lead multi-disciplinary teams…

Closed listing

Software Engineer, Systems ML

Madison, WI, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

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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