Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added just now
Software Engineer in Test
CGI Technologies and Solutions, Inc.
Cary, NC
We CGI is seeking an experienced Software Engineer in Test and Automation to help teams build and deliver reliable, scalable applications. In this role, you will design reusable testing…
Added 1 min ago
Sr. Full Stack Engineer
CGI Technologies and Solutions, Inc.
Durham, NC
…strong expertise in API development, Java microservices, and AWS cloud technologies to join our growing engineering team. This role is ideal for engineers who excel at building…
Added 1 min ago
C
GCP data Engineer
Cognizant
Raleigh, NC
- $100,000 to $120,000 USD / year
Google Cloud Professional Data Engineer Certification.
Added 1 min ago
AT
Senior Network Engineer - DDoS
Akamai Technologies, Inc.
Raleigh, NC
- $112,500 to $202,500 USD / year
As a Senior Network Engineer, you will lead efforts in designing, implementing, and automating Akamai's global network infrastructure. You will address complex issues in routing, data…
Added 1 min ago
Principal Security Engineer - Reliability
Wells Fargo
CHARLOTTE, NC
Work Model: Hybrid work model with three days per week in the office
Added 1 min ago
Agentic AI Engineer – Workflow Orchestration & Prompt Engineer
ManpowerGroup
Charlotte, NC
LLM Evaluation & Troubleshooting: Testing workflows, diagnosing failures, analyzing outputs/logs, and improving accuracy and reliability.
Added 1 min ago
Cloud Security Program and Transformation Leader - Technology Director
Wells Fargo
CHARLOTTE, NC
Industry certifications such as CCSP, CISSP, CCSK, or cloud provider security certifications (AZ-500, AWS Security Specialty, GCP Professional Cloud Security Engineer).
Added 1 min ago
Engineer II, Google Cloud
PwC
Charlotte, NC · Raleigh, NC · Greensboro, NC
What You Must Have
Added 2 mins ago
Lead AI Engineer
Wells Fargo
CHARLOTTE, NC
Wells Fargo is seeking a Lead AI Engineer in Technology as part of Commercial and Corporate & Investment Banking Technology (CCIBT). The primary focus of this group will be to accelerate AI…
Added 2 mins ago
Applied AI Health System Engineer [Health Services-Provider] – Senior Manager
PwC
Charlotte, NC · Greensboro, NC · Raleigh, NC
What You Must Have
Added 2 mins ago
Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE)
NTT America, Inc.
Charlotte, NC
We are currently seeking a Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE) to join our team in Charlotte , North Carolina (US-NC) , United States (US) .
Added 2 mins ago
Google Cloud Engineer - Senior Associate
PwC
Raleigh, NC · Charlotte, NC · Greensboro, NC
What You Must Have
Added 2 mins ago
Google Cloud Engineer, Experienced Associate
PwC
Charlotte, NC · Raleigh, NC · Greensboro, NC
What You Must Have
Added 2 mins ago
Confluent - Staff Software Engineer - Stream Governance
IBM
RESEARCH TRIANGLE PARK, 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 9 mins ago
Azure Cloud Engineer
Arctiq
Blue Bell, PA
We are hiring a Cloud Infrastructure Engineer with deep Azure experience across platform engineering and daily operations, reliability, hybrid connectivity, and cloud governance. You will…
Added 36 mins ago
Staff Mechanical Product Design Engineer, Platforms
Google
Sunnyvale, CA
…delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users…
Added 40 mins ago
Software Engineer II JBASE
Staples
Deerfield Beach, FL
Software Engineer II -JBase/Pick/Work Model: Onsite, Deerfield Beach, FL
Added 42 mins ago
Principal Application Engineer-Digital Platform Engineering
Navy Federal Credit Union
Pensacola, FL
Analyze software applications, platforms, cloud capabilities, and emerging technologies to identify opportunities to improve security, reliability, scalability, and engineering…
Added 42 mins ago
Lead Azure Cloud Engineer
Insight Global
Tampa, FL
- We are seeking a hands-on Senior/Lead Azure Platform Engineer to help design, build, and scale a modern Azure platform supporting enterprise applications, data initiatives, and continued…
Added 55 mins ago
M
Gestionnaire des ressources énergétiques / Energy Resource Manager
Microsoft
QC, CA
- $69,200 to $129,600 CAD / year
Le Cloud Operations & Innovation (CO+I) de Microsoft est le moteur qui alimente nos services infonuagiques. En tant que gestionnaire de données CO+I, vous jouerez un rôle clé dans la mise…
Added 1 hour ago
Senior Staff Software Engineer, AI/ML Diagnostic Systems and Hardware Coverage
Google
Sunnyvale, CA
…delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users…
Added 1 hour ago
O
Senior Platform Software Engineer - Oracle Health | US Citizens & Green Card Holders Only
Oracle
Jefferson City, MO
- $87,800 to $209,500 USD / year
…platform. We are seeking a highly skilled Principal Software Engineer to join our Clinical Applications Engineering team focused on modernizing provider workflows, inbox management, and…
Added 1 hour ago
C
Data Quality Engineer (Databricks & dbt)
Cognizant
Jefferson City, MO
- $70,000 to $117,000 USD / year
We are seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The ideal candidate will design and automate data quality testing…
Added 1 hour ago
Software Engineer, AI Integrations
Jobgether
Remote, United States
The Software Engineer, AI Integrations will play a key role in expanding how developers and businesses access web data through AI-powered tools and integrations. You will design, build, and…
Added 1 hour ago
Lead Software Engineer, Databricks & Cloud
U.S. Bank
Saint Louis, MO
Bank location three (3) or more days per week

Shield AI

Staff, Platform Engineer AI Compute (6034)

San Diego, CA, United States
San Mateo, CA, United States

$200,000 to $300,000 USD / year

Apply on jobs.lever.co About employer

Applications open in a new tab.

Job details

Pay: $200,000 to $300,000 USD / year
Posting language: English
Posted: Nov 2, 2026

Original job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description:

Machine-learning engineers need reliable access to GPUs to train and evaluate models. Shield AI’s AI Factory provides shared compute and development tools for these workflows, both for our engineers and for customer deployments.

We are looking for a Platform Engineer to make that compute platform easier to use, more reliable and more efficient. You will write software, improve how teams share GPUs, help developers troubleshoot workloads and use performance data to guide capacity growth. This is a hands-on software and platform engineering role.

What you'll do:

• Build and maintain the software and configuration that let developers run GPU workloads on Kubernetes.

• Design quotas, scheduling priorities, permissions and isolation so multiple teams can share compute predictably.

• Automate deployment and upgrades of GPU services, including Run:ai, with infrastructure as code and tools such as Terraform and Helm.

• Investigate why jobs wait, fail or run slowly, and fix recurring scheduling, configuration, storage and networking problems.

• Build diagnostics that connect queue times, GPU utilization, memory requirements and training throughput to the developer’s experience.

• Benchmark representative workloads and recommend when to add GPU capacity, how much to add and which hardware fits the workload.

• Deliver repeatable installations and upgrades across cloud, on-premises and air-gapped environments.

Key Outcomes:

• Developers can get the GPU resources they need through understandable access and resource policies.

• Teams can diagnose slow or blocked training jobs and distinguish capacity shortages from configuration problems.

• GPU expansion decisions reflect measured demand and workload performance.

• Platform changes improve reliability without disrupting existing training workflows.

Required qualifications:

• Experience building and supporting production Kubernetes platforms, including GPU or distributed computing workloads.

• Strong software engineering skills in Python, Go or a comparable language.

• Experience automating infrastructure deployment, configuration and upgrades.

• Practical Linux, networking and storage troubleshooting skills.

• Experience with shared resource scheduling, access controls or workload isolation.

• Ability to work directly with machine-learning engineers, understand their workloads and turn recurring problems into maintained platform capabilities.

Preferred qualifications:

• Experience with Run:ai or comparable GPU scheduling and resource-management systems.

• Familiarity with distributed training and tools such as Ray or PyTorch.

• Experience delivering on-premises or air-gapped platforms, or contributing to open-source infrastructure.

Why Join Us The AI Factory is the foundation for how Shield AI develops and deploys autonomy.

As a Senior Staff Engineer, you will help build the reference architecture used internally by our engineering teams and delivered to customers building their own AI capabilities. Your work will directly impact how quickly researchers can iterate, how efficiently compute resources are utilized, and how AI systems move from experimentation to operational deployment.

This is an opportunity to work at the intersection of modern AI, distributed systems, Kubernetes, and defense, building a platform that enables the next generation of autonomy systems while leveraging the best of the open-source AI ecosystem.

#LF

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

###

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Apply on jobs.lever.co About employer

More about this job

Skills

Machine learning
Develop models
Troubleshoot
Kubernetes
Scheduling
Infrastructure as code
IBM Terraform
Distributed computing
Python
Go
Linux
Troubleshooting
PyTorch

Report this job

Work requirements

Jobs in the United States