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Intern Distributed Systems Engineer Jobs in Boston, MA

Systems Engineer Location: Lexington, MA USA 02421 (Hybrid) Duration: 3 years Contract on W2 (Possible Extension) Design, develop, and integrate distributed data architecture solutions with a strong ...

Systems Engineer

Cambridge, MA Ā· On-site

$114K - $182K/yr

... distributed software solutions. You'll work with a cross-functional team to deliver world leading, cutting-edge Patient Monitoring solutions. Your role: * Collaborate with stakeholders providing ...

The candidate will design, develop, and integrate distributed data architecture solutions with a ... The candidate will help research, evaluate, and prototype emerging technologies in data engineering ...

Systems Engineer

Cambridge, MA Ā· On-site

$114K - $182K/yr

... distributed software solutions. You'll work with a cross-functional team to deliver world leading, cutting-edge Patient Monitoring solutions. Your role: * Collaborate with stakeholders providing ...

Engineering Intern

Cambridge, MA Ā· On-site

$18 - $20/hr

Summary The Engineering Intern provides an opportunity for students who are currently pursuing an ... Ability and willingness to learn plant and steam, distribution systems, operations, and maintenance ...

New

... supply, distribution, materiel management, acquisition, system engineering and maintenance ... financial planning and budgeting, security, flight test, and contracting functions. The Global ...

... supply, distribution, materiel management, acquisition, system engineering and maintenance ... financial planning and budgeting, security, flight test, and contracting functions. The Global ...

AI Systems Engineer

Boston, MA Ā· Hybrid

$113K - $155K/yr

The distributed systems backbone that powers enterprise-scale AI, and * The agentic and LLM-driven ... AI & Agentic Systems Product Engineering & Deployment * Design and implement production-grade RAG ...

AI Systems Engineer

Boston, MA Ā· Hybrid

$113K - $155K/yr

The distributed systems backbone that powers enterprise-scale AI, and * The agentic and LLM-driven ... Responsibilities AI & Agentic Systems Product Engineering & Deployment * Design and implement ...

AI Systems Engineer

Boston, MA Ā· On-site

$170K - $222K/yr

The distributed systems backbone that powers enterprise-scale AI, and * The agentic and LLM-driven ... Responsibilities AI & Agentic Systems Product Engineering & Deployment * Design and implement ...

Experience with distributed storage systems (e.g., Ceph). * Customer support experience and strong problem-solving abilities. * Prior experience at a trading or fintech firm, or a strong interest in ...

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Intern Distributed Systems Engineer information

See Boston, MA salary details

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How much do intern distributed systems engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for intern distributed systems engineer in Boston, MA is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an intern distributed systems engineer?

To thrive as an Intern Distributed Systems Engineer, you typically need a strong background in computer science fundamentals, programming (often in languages like Java, C++, or Go), and an understanding of distributed computing concepts. Familiarity with technical tools such as Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), and version control systems like Git is commonly expected. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills and qualities are crucial for solving complex distributed problems, collaborating with teams, and adapting to rapidly evolving technology environments.

What is the difference between Intern Distributed Systems Engineer vs Intern Software Engineer?

AspectIntern Distributed Systems EngineerIntern Software Engineer
Required CredentialsTypically pursuing a degree in Computer Science or related field, familiarity with distributed systems conceptsSimilar educational background, focus on general software development skills
Work EnvironmentFocus on designing, implementing, and testing distributed systems and networked applicationsDeveloping various software applications, often in different domains
Employer & Industry UsageUsed in tech companies working on cloud, big data, or scalable systemsCommon across many industries including tech, finance, and startups
Search & Comparison IntentPeople comparing internship roles in distributed systems and software development

Intern Distributed Systems Engineers focus on distributed architectures and networked systems, while Intern Software Engineers work on a broader range of software projects. Both roles require similar educational backgrounds but differ in specific technical focus and project types.

What types of projects and tasks can an intern distributed systems engineer expect to work on?

As an Intern Distributed Systems Engineer, you can expect to work on collaborative projects involving the design, implementation, and testing of scalable, fault-tolerant systems. Your tasks may include optimizing data pipelines, contributing to microservices architecture, or participating in performance benchmarking. Interns often work closely with senior engineers, gaining exposure to cutting-edge technologies such as cloud platforms, container orchestration, and distributed databases. This hands-on experience, combined with mentorship and code reviews, provides valuable insights into best practices and industry standards, supporting both your technical and professional growth.

What does an intern distributed systems engineer do?

An Intern Distributed Systems Engineer assists in designing, developing, and maintaining large-scale distributed systems that enable applications to run reliably across multiple computers. Their work often involves writing and testing code, debugging issues, and collaborating with experienced engineers to solve technical challenges related to scalability, efficiency, and data consistency. Interns may also help with system monitoring and performance analysis, learning best practices for building robust and fault-tolerant systems. This role is a valuable opportunity to gain hands-on experience with cutting-edge technologies and real-world distributed computing problems.
What are the most commonly searched types of Distributed Systems Engineer jobs in Boston, MA? The most popular types of Distributed Systems Engineer jobs in Boston, MA are:
What are popular job titles related to Intern Distributed Systems Engineer jobs in Boston, MA? For Intern Distributed Systems Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Intern Distributed Systems Engineer jobs in Boston, MA look for? The top searched job categories for Intern Distributed Systems Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Intern Distributed Systems Engineer jobs? Cities near Boston, MA with the most Intern Distributed Systems Engineer job openings:
Infographic showing various Intern Distributed Systems Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $43,645 per year, or $21 per hour.

LLM Pre-training & Distributed Engineer (AI Infrastructure)

Hyphen Connect Limited

Boston, MA

$116K - $153K/yr

Other

Re-posted 14 days ago


Job description

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizingĀ  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

  • Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
  • Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
  • Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

  • Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
  • Experience managing SLURM or Kubernetes-based GPU clusters.
  • Strong systems engineering background (C++, CUDA, Python).