NIT Jalandhar Placements 2022: 25 students bag packages of over INR 25 lakh

Google offered the highest package of Rs 62 lakh to Divyansha Sharma, followed by Archit Jindal who received a package of INR 51 lakh from Microsoft.

NIT Jalandhar Placements 2022: National Institute of Technology (NIT) Jalandhar witnessed an overwhelming response during the campus placement. Students of the Department of Computer Science and Engineering of Dr BR Ambedkar NIT, Jalandhar, have received record-breaking job offers from core computer science and engineering companies and tech giants in emerging technologies such as artificial intelligence, machine learning and data science this year.

Google offers highest package of INR 62 Lakh

Google offered the highest package of Rs 62 lakh to Divyansha Sharma. Whereas Archit Jindal got a package of INR 51 lakh from Microsoft. Brahamleen Kaur got a package of INR 49 lakh, Ritika Goyal INR 48 lakh from Google and Pulkit Sood got a package of INR 45 lakh per annum from Amazon.

Over INR 25 lakh per annum pay package offered to as many as 25 students from the CSE Department. Professor BK Kanaujia, Director, NIT, Jalandhar, congratulated the achievers for making the department and institute proud. All eligible students of the department got placed this year with most students having multiple job offers with an all-time high average package.
Congratulating the students, Professor Kanaujia said, “The recruitment process is going well across the country and with new highs in placement at NIT Jalandhar. This indicates the faith of tech companies not only in the institute but also the students and their mentors.” He further added that the placements have improved from the previous years.

Number of recruiters increased

NIT Jalandhar also recorded an increase in the number of companies participating in campus placements. Big brands such as Google, Amazon, Microsoft, Deloitte, Goldman Sachs, Mphasis, Servicenow etc. He also stated that the institute is now focusing on starting state-of-the-art specialisation courses in emerging areas of computer science and engineerings such as sensor networks and Internet of things, data science and machine learning, big data and analytics.

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