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1–3 jobs· newest first

Chief Engineer Level 6 - LinthicumNew
Northrop Grumman · Linthicum, US
$184K–$276KHybrid · Full-time · Director
Manager, AI & Research Computing Initiatives
Sigma Inc. (Sigma Systems, Inc.) · Boston, US
Hybrid · Contract · Manager
Manager, AI & Research Computing Initiatives
Sigma Inc · Boston, US
Hybrid · Contract · Manager

+10K new in the last hour

Chief Engineer Level 6 - Linthicum

Northrop Grumman · Posted Nov 9, 2026

Linthicum, Maryland, United States
Hybrid
Full-time · Director
$184K–$276K per year

9–14 years

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Seeking an Integrated Product Team (IPT) Lead within Eastern Regional Electronics and Payload Organization to lead a cross-discipline engineering team and develop key technologies for Space Intelligence Systems Division.

Compensation

Primary Level Salary Range: $184,100.00 - $276,100.00

Responsibilities

Manage the technical development and direction for all aspects of engineering on a program including design, development, implementation, testing and delivery of product to a customer.
Be responsible for the integration of the overall technical plan within the Integrated Master Schedule (IMS).
Controls engineering project scope (e.g. within or outside established project baseline).
Owns overall quality, technical, budget, and schedule responsibility for the Engineering content of the assigned program.
Ensure the program is adhering to sound engineering processes in development, production, test and sustainment in accordance with company policies, procedures, and quality standards.

Requirements

Bachelor's Degree in Engineering
Master's Degree
Ph.D.
Nice to have: Agile
Nice to have: RF

Skills

Integrated Product Team (IPT) Lead Engineering leadership Technical roadmap Program Management Budget management (CAM experience)Structured Decision Making Systems engineering IMS E250-MSO

Benefits

health insurance coverage
life insurance
disability insurance
savings plan
Company paid holidays

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Manager, AI & Research Computing Initiatives

Sigma Inc. (Sigma Systems, Inc.) · Posted Nov 8, 2026

Boston, Massachusetts, United States
Hybrid
Contract · Manager

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Lead strategy, planning, and development of AI infrastructure and research computing initiatives for Boston University.

Responsibilities

Develop and drive the technical roadmap for AI-enabled research computing and infrastructure
Lead planning and capacity management for GPU computing, accelerators, and high-performance computing resources
Evaluate and recommend AI/ML infrastructure, containerized computing environments, and MLOps tools
Anticipate emerging requirements related to AI workloads, data pipelines, model training, and model-serving infrastructure
Provide technical guidance and expertise on AI infrastructure, research computing, and emerging AI technologies

Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related technical field
Nice to have: university or academic research experience
Nice to have: HPC environment management
Nice to have: GPU clusters
Nice to have: NVIDIA GPUs

Skills

AI/ML infrastructure High-Performance Computing GPU computing

S

Manager, AI & Research Computing Initiatives

Sigma Inc · Posted Nov 6, 2026

Boston, Massachusetts, United States
Hybrid
Contract · Manager

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Lead AI and research computing strategy for Boston University, managing infrastructure, projects, and a technical team.

Responsibilities

Develop and drive the technical roadmap for AI-enabled research computing and infrastructure
Lead planning and capacity management for GPU computing, accelerators, and high-performance computing resources
Evaluate and recommend AI/ML infrastructure, containerized computing environments, and MLOps tools
Anticipate emerging requirements related to AI workloads, data pipelines, model training, and model-serving infrastructure
Provide technical guidance and expertise on AI infrastructure, research computing, and emerging AI technologies

Requirements

Bachelor's degree in Computer Science
Bachelor's degree in Information Technology
Bachelor's degree in Data Science
Bachelor's degree in Engineering
equivalent professional experience

Skills

AI/ML Infrastructure High-Performance Computing (HPC)GPU Computing Accelerators

cloud infrastructure

containerized computing environments

model deployment

AI infrastructure planning

capacity planning

technical roadmap

project coordination

team leadership

resource utilization

business process analysis

MLOps platforms

AI infrastructure

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Containerized computing environments

AI infrastructure planning

Capacity management

AI Infrastructure

Artificial Intelligence

Machine Learning

Research Computing

Accelerated Computing

Containerization

Model Deployment

Cloud Infrastructure

Research Data Infrastructure

Infrastructure Planning

Capacity Planning

Technical Roadmap

Team Leadership

Project Management

Resource Utilization

Secure Research Environments

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