Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Strategic Sales Engineer, Desert/Rockies
Rubrik
AZ
As a Strategic Sales Engineer, you will provide technical direction and business guidance to the regional sales team. We are seeking a self-starter who will exceed sales quotas by driving…
Added 1 min ago
ConvergeProsperity - Product Forward Deployed Engineer, BankingSuite (Manager) - Products & Platforms
Deloitte
Tempe, AZ
We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will…
Added 1 min ago
Life Sciences Experience Design Strategy Manager
Deloitte
Tempe, AZ
Added 1 min ago
ConvergeProsperity - Lead Product Forward Deployed Engineer for FSI Signals - Products & Platforms
Deloitte
Tempe, AZ
Are you energized by both winning the deal and delivering on it? As a Product Forward Deployed Engineer (pFDE), you'll be the GTM & Delivery engine for Signals, a priority product in the…
Added 1 min ago
Software Engineer III - Full-stack Developer with Anthropic Experience
Deloitte
Tempe, AZ
Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service
Added 1 min ago
Engineer III- Technology
Edward Jones
Tempe, AZ
Added 1 min ago
Signals for FSI - Product Forward Deployed Engineer - Innovation_Delivery_Transformation
Deloitte
Tempe, AZ
Are you energized by both winning the deal and delivering on it? As a Product Forward Deployed Engineer (pFDE), you'll be the GTM & Delivery engine for Signals, a priority product in the…
Added 1 min ago
Lead Product Forward Deployed Engineer (pFDE) - Products & Platforms
Deloitte
Tempe, AZ
We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will…
Added 1 min ago
Lead UI Engineer - Products & Platforms
Deloitte
Tempe, AZ
The BankingSuite team is looking is looking for a Lead UI Engineer with a passion for innovation and the experience to launch a high-quality digital banking product as part of a FinTech…
Added 1 min ago
Banking Product Forward Deployed Engineer - Products & Platforms
Deloitte
Tempe, AZ
We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will…
Added 1 min ago
Management Consultant - Data Engineer
IBM
TUCSON, AZ
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…
Added 2 mins ago
TT
Staff Software Engineer, Infrastructure
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
Added 2 mins ago
Product Manager
Meta
Phoenix, AZ
Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity
Added 2 mins ago
AE
Campus Graduate Masters Full-Time Manager - 2027 Data Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Data Engineer II in Enterprise Technology Services, you’ll join a full-time graduate…
Added 2 mins ago
AE
Campus Undergraduate Full-Time Analyst - 2027 Data Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Data Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 2 mins ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
Interest in secure coding, accessibility, observability, reliability engineering, developer experience, AI-enabled development tools, or enterprise-scale systems.
Added 2 mins ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation relevant to your team’s work.
Added 2 mins ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 2 mins ago
Principal Software Engineer
Highmark Health
Phoenix, AZ
Google Cloud Professional Cloud Architect, Professional Cloud Developer, or Professional Cloud Security Engineer.
Added 2 mins ago
AE
Sr Software Engineer II - Enterprise Architecture
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Champion engineering excellence by improving CI/CD pipelines, test automation, and developer productivity
Added 2 mins ago
AE
Senior Infrastructure Engineer I
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Senior Infrastructure Engineer, building resilient platforms. Modernize enterprise infrastructure. Enable AI at scale.
Added 2 mins ago
C
Frontier Engineer
Cognizant
Phoenix, AZ
- $69,000 to $123,000 USD / year
As a Frontier Engineer, you will make an impact by designing and delivering next-generation, AI-enabled applications and cloud-native solutions. You will apply Generative AI tools across…
Added 2 mins ago
C
Frontier Engineer
Cognizant
Phoenix, AZ
- $69,000 to $123,000 USD / year
As a Frontier Engineer, you will make an impact by designing and delivering next-generation, AI-enabled applications and cloud-native solutions. You will apply Generative AI tools across…
Added 2 mins ago
C
Frontier Engineer
Cognizant
Phoenix, AZ
- $69,000 to $123,000 USD / year
As a Frontier Engineer, you will make an impact by designing and delivering next-generation, AI-enabled applications and cloud-native solutions. You will apply Generative AI tools across…
Added 2 mins ago
EG
Dev Lead
Eliassen Group
Phoenix, AZ
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.

Closed listing

Software Engineer, Systems ML

Cheyenne, WY, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Posting language: English
Posted: Oct 7, 2026

Similar jobs hiring now

Search current openings

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.

About employer

More about this job

Skills

ML
Research
Coaching
Computer science
Computer engineering
C++
Python
Hazard assessment

Report this job