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Remote Tooling Engineer Jobs in Boston, MA (NOW HIRING)

ICONSTAFF

Senior Platform Engineer

Cambridge, MA · Remote

$120K - $200K/yr

Fully remote (HQ Cambridge, MA) Hours: 9-5 EST, with 2-day on-site visits every 6 weeks You'll be ... Build internal tooling and abstractions for developer productivity. * Design CI/CD pipelines using ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

You'll also help build the ML infrastructure and tooling that accelerates future research, while ... S. government security clearance in the future.' This is NOT a fully remote position! Required ...

Oakwell

Senior Mechanical Engineer

Boston, MA · Remote

$107K - $141K/yr

This is a remote opportunity with a preference that candidates be located in the Northeast** What ... Shape the AI/ML tooling that scales our analysis, and mentor the engineers coming up behind you.

INFINIDAT

Principal Software Engineer

Waltham, MA · On-site +1

$147K - $197K/yr

Experience with remote host communication via SSH (paramiko or equivalent) and WinRM * Container ... AI-assisted tooling integration * Experience with Podman quadlets and systemd service management ...

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Showing results 21-40

All JobsTooling Engineer JobsRemote Tooling Engineer JobsRemote Tooling Engineer Jobs in Boston, MA

Remote Tooling Engineer information

See Boston, MA salary details

$58.7K

$119.5K

$177.6K

How much do remote tooling engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote tooling engineer in Boston, MA is $119,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $133,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Tooling Engineer vs Software Developer?

AspectRemote Tooling EngineerSoftware Developer
Required credentialsBachelor's in Engineering, Computer Science, or related field; experience with tooling and automationBachelor's in Computer Science or related field; programming skills
Work environmentRemote, often in tech or manufacturing industries, focusing on tooling systemsRemote or on-site, in various industries developing software applications
Employer usageTech companies, manufacturing firms, companies with automation needsTech firms, startups, enterprises developing software products

Remote Tooling Engineers focus on designing and maintaining automation tools and systems, often in manufacturing or tech environments. Software Developers create applications and software solutions across diverse industries. While both roles require technical skills and often remote work, their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a remote tooling engineer?

To thrive as a Remote Tooling Engineer, you need a strong background in software development, automation, and systems integration, typically supported by a degree in computer science or related field. Familiarity with CI/CD pipelines, scripting languages (like Python or Bash), cloud platforms, and configuration management tools is essential. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in distributed teams. These competencies are crucial for efficiently building reliable development tools and maintaining workflows across remote environments.

What is a remote tooling engineer?

A Remote Tooling Engineer is a professional who designs, develops, and maintains software tools and automation systems while working from a remote location. They support development teams by creating solutions that improve workflow efficiency, testing, deployment, and integration processes. These engineers often collaborate with cross-functional teams using communication tools and cloud-based services to deliver and maintain tooling solutions. Their work enables organizations to streamline operations, reduce manual tasks, and improve productivity without requiring onsite presence.

How does a remote tooling engineer typically collaborate with development and operations teams in a distributed work environment?

As a Remote Tooling Engineer, you'll frequently work with both development and operations teams to design, implement, and maintain tools that streamline workflows and increase efficiency. Collaboration usually happens through virtual meetings, chat platforms, and collaborative documentation, requiring strong communication and proactive updates. You'll often participate in sprint planning, code reviews, and troubleshooting sessions, making it essential to be comfortable with asynchronous communication and documentation. Building trust and clear channels for feedback are key to successful teamwork in a remote setting.
What are the most commonly searched types of Tooling Engineer jobs in Boston, MA? The most popular types of Tooling Engineer jobs in Boston, MA are:
What are popular job titles related to Remote Tooling Engineer jobs in Boston, MA? For Remote Tooling Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Tooling Engineer jobs in Boston, MA look for? The top searched job categories for Remote Tooling Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Tooling Engineer jobs? Cities near Boston, MA with the most Remote Tooling Engineer job openings:
Remote Tooling Engineer jobs near you
Infographic showing various Remote Tooling Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $119,490 per year, or $57.4 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Lexington, MA • On-site, Remote

$100K - $160K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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–$160,000 Annually
Experience Required: 10+ 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.
  • Ten 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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