Quantiphi Off Campus Drive 2026 | Hiring Interns & Software Engineers | 2026 Batch
Job Description
Eligibility Criteria
Candidates must meet the following structural and academic parameters to qualify for the online evaluation phase:
Educational Qualifications: Open to all engineering graduates pursuing B.Tech, M.Tech, MCA, or M.Sc degrees across all specializations.
Academic Performance Matrix: Minimum of 70% or equivalent CGPA in 10th standard, 12th standard, and ongoing Graduation/Post-Graduation.
Backlog Policy: Strict policy requiring zero active or historical backlogs/reappears at the time of application.
College Preferences: Premium consideration is extended to students from IITs, NITs, IIITs, and BITS for all branches, alongside CSE/IT students from other recognized institutes.
Job Responsibilities & Core Skills Required
Quantiphi is onboarding fresh talent across four distinct specialized domains. The core technical expectations and day-to-day responsibilities have been segmented below:
1. Software Development & Framework Engineering
Design, build, and maintain scalable enterprise software development frameworks using modern programming languages like Python, Java, or C++.
Collaborate with cross-functional product teams to implement clean, optimized, and dry (Don't Repeat Yourself) code structures.
Integrate third-party application programming interfaces (APIs) and construct robust microservices architectures.
2. Data Engineering & Cloud Analytics
Develop, optimize, and manage large-scale data pipelines to power cloud infrastructure analytics engines.
Utilize structured query languages (SQL) and NoSQL databases to perform complex data transformations and modeling.
Assist in building robust backend data layers that feed directly into advanced machine learning pipelines.
3. Platform & Infrastructure Engineering
Deploy and maintain secure infrastructure environments using mainstream cloud service providers.
Automate deployment operations and configurations using contemporary CI/CD toolchains and scripting languages.
Monitor system reliability, diagnose performance bottlenecks, and implement structural security protocols.
Application & Selection Process Overview
The evaluation matrix is designed to test technical capabilities, logical reasoning, and interpersonal communication skills through a multi-stage process:
Online Assessment (June 17, 2026): A comprehensive 2-hour online examination evaluating quantitative aptitude, verbal ability, and core coding proficiency.
Technical Interview Round 1 (June 18 – June 30, 2026): An in-depth interactive technical round evaluating algorithms, data structures, and database principles.
Technical Interview Round 2 (June 18 – June 30, 2026): A system design and problem-solving discussion tailored around your core role domain preference.
HR Dialogue (June 18 – June 30, 2026): A final cultural fitment assessment detailing joining timelines, continuous learning paths, and structural policies.
To begin your registration, please navigate to the official application window provided in the separate submission section at the bottom of the external hosting page.
Conclusion
Launching a career with an AI-first organization like Quantiphi offers invaluable exposure to scalable technology ecosystems and modern enterprise frameworks. Eligible candidates from the 2026 batch are highly encouraged to complete their registrations before the deadline to secure their assessment slots.
Frequently Asked Questions (FAQs)
Q1: What is the exact stipend structure and duration for the Quantiphi internship? A: Selected candidates will undergo a 6-month internship starting in July 2026, receiving a fixed stipend of INR 24,000 per month during this training period.
Q2: Is there a specific branch restriction for B.Tech/M.Tech candidates applying from premium colleges? A: No, applicants hailing from IITs, NITs, IIITs, and BITS are welcome to apply from any academic branch or discipline. For other colleges, the drive is open to CSE, IT, or closely related technical fields.
Q3: How will CGPA scores be evaluated against the 70% minimum criteria? A: For application sorting purposes, the CGPA is converted to a percentage format. A CGPA based out of 10 is multiplied by 10, while a CGPA based out of 5 is multiplied by 20 to determine the final percentage metric.