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Computer Science Grad Jobs in Boston, MA (NOW HIRING)

Research Assistant I

Boston, MA · On-site

$21 - $29.01/hr

Bachelor's Degree Science required * New grad with some relevant coursework 0-1 year preferred Can ... Computer literacy, including database tools. - Ability to follow directions and exhibit ...

Showing results 41-55

Computer Science Grad information

What is a computer science grad?

Computer Science grads are individuals who have completed a degree program in computer science, typically at the undergraduate or graduate level. They possess knowledge and skills in areas such as programming, algorithms, data structures, software engineering, and computer systems. These graduates are equipped to pursue careers in various tech fields including software development, data analysis, cybersecurity, and more. Their education often includes both theoretical foundations and practical experience with modern technologies.

What are some common entry-level positions for recent computer science grads, and how do they typically collaborate within a team?

Recent computer science graduates often start in roles such as software engineer, QA analyst, IT support specialist, or junior web developer. In these positions, you'll usually work as part of a project team alongside more experienced engineers, designers, and sometimes product managers. Collaboration is key—you'll participate in code reviews, daily stand-up meetings, and pair programming sessions to learn best practices and contribute to shared goals. This team-oriented environment not only helps build technical skills but also offers mentorship opportunities and exposure to different aspects of software development.

What are the key skills and qualifications needed to thrive as a computer science grad, and why are they important?

To thrive as a Computer Science Graduate, you need a solid understanding of programming languages, algorithms, data structures, and fundamental computer science concepts, typically gained through a bachelor's degree in computer science or a related field. Familiarity with development environments, version control systems like Git, and frameworks relevant to your specialization is often expected. Problem-solving, teamwork, and strong communication skills help you collaborate efficiently and adapt to evolving project requirements. These skills and qualities are crucial for building robust software solutions and succeeding in dynamic technology-driven workplaces.

What is the difference between Computer Science Grad vs Software Developer?

AspectComputer Science GradSoftware Developer
CredentialsDegree in Computer Science or related fieldOften requires a degree, but certifications and experience can suffice
Work EnvironmentAcademic settings, internships, entry-level rolesCorporate offices, tech companies, startups
Industry UsageEducational institutions, entry-level tech rolesProduct development, application building, coding tasks
Search & Comparison IntentEntry-level, educational background, career startPractical coding, project work, job opportunities

While a Computer Science Grad typically refers to someone with a degree in computer science, a Software Developer is a professional actively involved in coding and building software applications. Many Computer Science Grads pursue roles as Software Developers, but the latter emphasizes practical skills and work experience. Understanding this difference helps job seekers target the right roles and employers effectively.

What cities near Boston, MA are hiring for Computer Science Grad jobs?

Cities near Boston, MA with the most Computer Science Grad job openings:

Infographic showing various Computer Science Grad job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Software Engineer, Infrastructure (Early Career)

Cambridge, MA • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

About Lightfield
Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.
We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful.
The market agrees. Over 5,000 companies have used Lightfield since we launched in November, making us the fastest-adopted product in our category. We are backed by Greylock, Lightspeed, and Coatue, and our founders previously built Tome, a generative AI presentation product used by over 25 million people. Before Lightfield, our team worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.
About the role
If you want to be part of the AI wave and are drawn to the systems challenges of a product used by both people and agents, this role is for you. Lightfield's infrastructure supports human-interactive requests, agent-driven queries and actions, scheduled agents, and continuous ingestion of email, calendar, and meeting data. Based in our Cambridge office, you'll work on the databases, scheduling, permissions, and distributed systems that keep these workloads fast, isolated, and reliable as they share the same underlying customer data.
The work is not research, but many of the same habits matter: forming hypotheses, reading unfamiliar systems deeply, designing careful experiments, and explaining what the evidence shows. You'll use those habits on problems like these:
  • Querying a schema-flexible data model. Customers define their own object types, fields, and relationships at runtime, while the underlying data is stored in Postgres. We work on query planning, indexing, and data-access patterns that keep those records fast to filter and aggregate as datasets grow.
  • Record-level permissions across relationships. Access can come from ownership, direct grants, group membership, or inheritance from another record. We need a permissions model that evaluates those paths efficiently and produces the same answer across the application, API, search, dashboards, and agents.
  • Balancing real-time and batch workloads. Search indexing competes with historical imports and backfills for shared database and queue capacity. We use concurrency controls, prioritization, and backpressure to keep real-time updates moving while still processing large batches.

You'll design and review systems, debug production behavior, and gradually take full ownership of one or more subsystems. You'll ship production work early with close design and code review, then take on increasingly open-ended projects as you demonstrate readiness.
You'd join a small, systems-focused engineering group in our new Kendall Square office early enough to help establish how it works, alongside a site lead who is one of our most senior infrastructure engineers.
What you'll do
  • Ship production work early with close design and code review, then grow into end-to-end ownership of a system.
  • Investigate systems methodically: reproduce behavior, add instrumentation, form a hypothesis, and test it against production evidence.
  • Work on query performance, data modeling, permissions, scheduling, and keeping customer-facing data fresh.
  • Debug real production issues across application code, databases, queues, and infrastructure.
  • Learn how production systems are designed and operated through code review, incident response, and owning what you ship.

What we're looking for
  • Strong computer science fundamentals and a degree in CS or a related field.
  • Depth somewhere systems-shaped: research experience, coursework you went deep on (operating systems, databases, distributed systems, security), a systems-flavored internship, or a project you can talk about for an hour.
  • Curiosity about how things actually work. You'd rather understand the query planner than work around it.
  • Ownership: you finish things, and you care that they keep working after you ship them.
  • Clear communication about technical decisions and tradeoffs.

Why this role is interesting
Most new grad roles put you several layers away from the systems that matter. This one doesn't. You'll see how decisions about data models, query plans, permissions, and scheduling affect real customers, while working closely with experienced infrastructure engineers. If you want to turn academic depth into production judgment and do serious systems work without leaving Cambridge, this is that job.
Benefits & Perks
  • Competitive salary
  • Meaningful early equity
  • Health insurance (medical, dental, vision)
  • 3 weeks of PTO
  • 11 paid company holidays + we enjoy a winter holiday break
  • 3 months of paid family leave
  • Wednesdays work from home
  • Regular team dinners, events, offsites, and retreats
  • 401k plan
  • Other perks include: commuter and lunch stipend