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Remote C Programming Jobs in Boston, MA (NOW HIRING)

Wsgr

Senior Software Developer

Boston, MA · On-site +1

$147K - $198K/yr

You will work closely with a fully remote team of designers, developers, and stakeholders to add ... C., and all other locations: $147,050 - $198,950 per year. The compensation for this position may ...

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All JobsC Programming JobsRemote C Programming JobsRemote C Programming Jobs in Boston, MA

Remote C Programming information

See Boston, MA salary details

$11.9K

$127.6K

$193.9K

How much do remote c programming jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote c programming in Boston, MA is $127,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $169,500.00 per year, depending on experience, location, and employer.

What is a remote C programming?

A Remote C Programming job involves writing, testing, and maintaining C code for software applications, systems, or embedded devices while working from a remote location. Developers in this role collaborate with teams through online communication tools, manage code using version control systems like Git, and follow best practices for efficient and secure code development. These jobs are common in industries such as embedded systems, operating systems, cybersecurity, and finance, where performance and reliability are critical.

What are the key skills and qualifications needed to thrive in remote C programming?

To excel in Remote C Programming, a strong command of C language fundamentals, debugging, and experience with algorithms and low-level programming is essential, often supported by a computer science degree or relevant certifications. Familiarity with tools like Git, remote development environments, and continuous integration systems is beneficial. Effective remote communication, time management, and problem-solving abilities make candidates stand out in virtual team settings. These competencies ensure reliable code delivery, seamless collaboration, and the ability to independently troubleshoot and solve challenges while working remotely.

What are popular job titles related to Remote C Programming jobs in Boston, MA? For Remote C Programming jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote C Programming jobs in Boston, MA look for? The top searched job categories for Remote C Programming jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote C Programming jobs? Cities near Boston, MA with the most Remote C Programming job openings:
Remote C Programming jobs near you
Infographic showing various Remote C Programming job openings in Boston, MA as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,584 per year, or $61.3 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Lexington, MA • On-site, Remote

$100K - $160K/yr

Full-time

Posted 3 days ago

New

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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