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Remote Critical Infrastructure Engineer Jobs in Lexington, MA

MLabs

Senior Infrastructure Engineer

Boston, MA · Remote

$170K - $220K/yr

Remote - Remote - Based In ET+2 / -3, NY Preferred Remote | Full-time Compensation: $170K - $220K ... They are currently seeking a Senior Infrastructure Engineer to design and build an internal ...

MLabs

Senior Infrastructure Engineer

Boston, MA · Remote

$170K - $220K/yr

Remote - Remote - Based In ET+2 / -3, NY Preferred Remote | Full-time Compensation: $170K - $220K ... They are currently seeking a Senior Infrastructure Engineer to design and build an internal ...

Wsgr

Principal Cloud Infrastructure Engineer

Boston, MA · On-site +1

$147K - $198K/yr

The Principal Cloud Infrastructure Engineer, under the direction of the Senior manager of ... This role can be hybrid or virtual/remote. Essential Duties and Responsibilities: * Act as the ...

ICONSTAFF

Senior Platform Engineer

Cambridge, MA · Remote

$120K - $200K/yr

Senior Platform/Infrastructure Engineer Location: Fully remote (HQ Cambridge, MA) Hours: 9-5 EST, with 2-day on-site visits every 6 weeks You'll be responsible for designing, scaling, and maintaining ...

Zeitview

Senior MLOps Engineer I

Boston, MA · On-site +1

$113K - $155K/yr

... critical infrastructure industries. Trusted by the largest enterprises in the world, Zeitview is ... As the Senior MLOps Engineer I, you will help turn the models built by our ML Scientists, Data ...

KeyData Cyber

CyberArk Engineer

Boston, MA · Remote

... protect critical infrastructure, enable digital transformation, and ensure compliance with ... USA Employment Type: Contract (4-month engagement), Remote What You'll Do: * Define, design ...

GEI Consultants

Senior Structural Engineer

Franklin, MA · On-site +1

$100K - $160K/yr

... two days remote). Dams in our clients' portfolios are in some of the most spectacularly scenic ... to critical infrastructure and the future of our energy supply - need our brightest and diverse ...

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All JobsCritical Infrastructure Engineer JobsRemote Critical Infrastructure Engineer JobsRemote Critical Infrastructure Engineer Jobs in Lexington, MA

Remote Critical Infrastructure Engineer information

See Lexington, MA salary details

$52.2K

$142.8K

$204.5K

How much do remote critical infrastructure engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote critical infrastructure engineer in Lexington, MA is $142,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,800.00 and $158,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Critical Infrastructure Engineer vs Remote Network Security Engineer?

AspectRemote Critical Infrastructure EngineerRemote Network Security Engineer
Required CredentialsBachelor's in Engineering, certifications like CISSP, CISABachelor's in IT or Cybersecurity, CISSP, CompTIA Security+
Work EnvironmentDesigning, maintaining critical infrastructure systems remotelyMonitoring, securing networks remotely
Employer & Industry UsageUtilities, transportation, energy sectorsFinancial, healthcare, tech industries
Common Search & Comparison IntentUnderstanding roles in infrastructure securityComparing cybersecurity roles in networks

The Remote Critical Infrastructure Engineer focuses on designing and maintaining essential systems like power grids and transportation networks remotely, ensuring their resilience. In contrast, the Remote Network Security Engineer specializes in protecting organizational networks from cyber threats remotely. Both roles require cybersecurity certifications and involve remote work, but they serve different industry needs and technical focuses.

What job categories do people searching Remote Critical Infrastructure Engineer jobs in Lexington, MA look for? The top searched job categories for Remote Critical Infrastructure Engineer jobs in Lexington, MA are:
What cities near Lexington, MA are hiring for Remote Critical Infrastructure Engineer jobs? Cities near Lexington, MA with the most Remote Critical Infrastructure Engineer job openings:
Remote Critical Infrastructure Engineer jobs near you
Infographic showing various Remote Critical Infrastructure Engineer job openings in Lexington, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $142,764 per year, or $68.6 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Westford, MA • On-site, Remote

$100K - $150K/yr

Full-time

Posted 5 days ago

Job description

AI Infrastructure Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Infrastructure Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work.
Key Responsibilities
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations.
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams.
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering.
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate.
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication.
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics.
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale.
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing.
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently.
  • Partner with research and applied ML teams to plan capacity for upcoming training runs.
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure.
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement.
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform.
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in infrastructure, platform, or HPC engineering.
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
  • Strong proficiency in Python and at least one systems language such as Go or C++.
  • Deep understanding of distributed training, accelerator architectures, and collective communication.
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
  • Strong understanding of Linux internals, networking, and high-performance storage.
  • Experience with at least one major cloud provider’s ML infrastructure offerings.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience operating InfiniBand or RDMA networking at scale.
  • Contributions to open-source ML infrastructure projects.
  • Familiarity with custom orchestrators or research-grade training stacks.
  • Exposure to frontier model training operations.
  • Experience with FinOps for AI workloads.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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