26 registered early-career candidates match this pool in Chandigarh, 26 with an uploaded resume.
Chandigarh is one of the hiring locations we maintain a dedicated early-career pool for. This page shows how many computer science students are actually registered and available there, what they know, which institutions they come from and which batches they graduate in — so you can size a Chandigarh cohort before committing to it.
Counted live from our candidate database · updated 4 Aug 2026

Computer science students are the most contested cohort on any campus. They usually hold multiple offers by mid-final-year, so process speed determines yield more than compensation does.
Read from candidate profiles and refreshed every six hours — not a brochure figure.
Declared by candidates on their own profiles.
Candidate home city or stated preferred work location.
Filter by batch in the Talent Desk to size a specific cohort.
Colleges with the most candidates in this pool, as entered by candidates.
Typical early-career titles for this cohort.
Derived from real platform activity, not a self-declared field.
Don't post a job and wait. State what you need and see the live size and shape of the matching talent pool — before you commit to a hiring plan.
Volume is rarely the constraint in early-career hiring — signal is. These are the screens that separate a hireable candidate from a well-formatted résumé.
Four steps from requirement to shortlist. You never write a job description.
Role, volume, Chandigarh and graduating batch — in plain English.
A live count plus the city, batch and institution split of who matches.
Verified profiles with resumes and contact details, ranked by fit score.
Interview and close. Next cycle, change the batch year and repeat.
Talent acquisition, campus and university-relations leaders use the Talent Desk to size a pool before they commit headcount — then take a shortlist, not an inbox.
“We stopped posting internships and started stating requirements. Seeing the size of the Pune data pool before we committed headcount changed how we planned the whole cohort.”
“Our constraint was never job boards — it was reach into tier-2 campuses. The batch and college breakdown told us where the 2027 talent actually sits before we booked a single campus visit.”
“The shortlist arrived with resumes and contact details attached. For an early-careers team of two, not screening 400 applications ourselves is the entire value.”
“What sold us was that every number was countable. When I asked where the figure came from, I got a filter, not a marketing deck.”
“We needed cybersecurity freshers, which is the hardest early-career pool in India to fill. Being able to see availability by city saved us a quarter of guesswork.”
“Our engineering managers wanted candidates who had actually shipped something. Filtering on real resumes and assessment history got us there far faster than a job post would have.”
Tell us the volume, the cities and the graduating batch. Our talent desk comes back with a matched shortlist — verified profiles, resumes and contact details.
The candidate count shown on this page is a live figure read from our database and refreshed every six hours — not an estimate or a projection. Use the Talent Desk to narrow it by specific skills, graduating batch or a tighter location, and the number updates against your exact requirement.
The institutions listed on this page are read from candidate profiles — they are the colleges with the most registered candidates in the Chandigarh pool right now, not a curated list of campuses we would like to claim. It shifts as the pool changes.
The skills present in this pool are shown live on this page. The default skill set we match a Computer Science requirement against is Java, Python, C++, JavaScript, TypeScript, Spring Boot, Data Structures, Algorithms and related technologies.
Most commonly SDE Intern, Software Engineer Intern, Backend Developer Intern, Graduate Software Engineer. Computer science students are the most contested cohort on any campus. They usually hold multiple offers by mid-final-year, so process speed determines yield more than compensation does.
Yes. The pool includes candidates whose home city is Chandigarh as well as those who have stated Chandigarh as a preferred work location, so relocation intent is part of the data rather than an assumption. Tell the Talent Desk where the role is based and we will match on that.
Availability is derived from real activity on the platform, not from a self-declared status field. Candidates active in the last 14 days read as actively looking, within 45 days as open to offers, and beyond that as passive. Shortlists are weighted towards candidates who will genuinely respond.
A deterministic 0–100 fit score built from skill overlap with your requirement (the largest component), location fit against home and preferred cities, graduating-batch fit, profile depth such as an uploaded resume and CGPA, and recency of platform activity. The same candidate against the same requirement always scores identically — there is no randomness in it.
No. This is a talent-access product rather than a job board. You describe the requirement — role, volume, locations and graduating batch — and our talent desk returns matched candidate profiles with resumes and contact details, ranked by fit. Job posting exists separately on MyInternships and is entirely unaffected.