u/Medium-Floor-3285

Hey everyone heres all the data which I could compile from various sources.

I know this is not accurate and a lot of stats are missing only because the tpc site doesnt have all the data

If you feel any of it is missing/incorrect pls dm me and i will change that

And will update this list every week/whenever we get new stats published on the tpc site

Also for many companies i dont have the role-wise data for ex - texas there are 3 roles but since i dont have individual data i had to compile them together

So if any of you have the exact stats pls dm me to keep this list updated

Another Note - in some companies like google, infoedge etc you might see 2 different stipends for the same role, thats because those companies offer extra to idd students
So the extra stipend refers to the idd people

Company & Role	Number of Offers	Stipend Per Month
Quadeye – Quantitative Strategist, Systems Engineer	1	30L
NK Securities – AI/ML Research, Software Developer, Quantitative Researcher	1	7.5L
Alphagrep – Software Developer, Quantitative Trading	2	7.5L
Quantbox – Core Engineer, Quant Researcher	1	7.5L
QI-CAP Investments – Quantitative Research, Tech Role	4	5L
APT Portfolio – Quant Trader	1	4.5L
Rubrik – Software Engineer	2+1(w)	3.5L
DE Shaw (Off-Campus) – Technology Developer	3	3L
Databricks – Software Engineering	4	3L
DE Shaw – Technology Developer	3	3L
Goldman Sachs – Summer Analyst (Quantitatively Strategist)	2	2.67L
APT Portfolio – Data Management & Research	1	2.5L
ITC Limited – KITES Intern	7	2.2L
HUL – Supply Chain ULIP	2	2.2L
Goldman Sachs – Summer Analyst (Software Developer)	6	1.92L
JPMC (Off-Campus) – Quantitative Researcher (Wholesale Credit Risk)	1	1.9L
JPMC – Quantitative Researcher (Wholesale Credit Risk)	3	1.9L
Uber She++ (Off-Campus) – Software Engineer, Data Scientist Intern	3	1.88L
Uber – Software Engineer, Data Scientist Intern	7	1.88L
Natwest Group – Intern Trainee	10	1.75L
Plivo – AI/ML Engineer	1	1.75L
Salesforce (Off-Campus) – Intern AMTS	1	1.61L
Salesforce – Intern AMTS	9	1.61L
Walmart – Software Engineering Intern	4	1.6L
Flipkart (Off-Campus) – Data Engineer	1	1.5L
Flipkart – Data Engineer	3	1.5L
Eightfold.ai – Software Engineer	5	1.5L
LinkedIn – SWE	10	1.5L
LinkedIn – AI/ML Intern	1	1.5L
UiPath – Software Engineer	4	1.5L
Google – Software Engineering Intern	4	1.5L
Rippling – Software Engineer	8	1.5L
Sprinklr – Software Development Intern	1	1.5L
Plivo – SDE	1	1.5L
Walmart – Software Engineering Intern	12	1.5L
Samsung Research Bengaluru – Advanced Developer	2	1.5L
Google – Software Engineering Intern	9	1.44L
Google STEP (Off-Campus) – Software Engineering Intern	6	1.44L
Google (Off-Campus) – Software Engineering Intern	9	1.44L
Nutanix – Intern, Member of Technical Staff	2+3(w)	1.4L
Atlassian – Software Engineer	6+2(w)	1.3L
Amazon – Software Development Engineer	20	1.3L
Microsoft – Software Engineer Intern	29	1.25L
Teradata – SDE	4	1.25L
Intuit – Software Engineering Intern	3	1.2L
Adobe – ML Engineer	2	1.1L
Adobe – Product Intern	14	1.1L
Infoedge – AI Intern	5	1.1L
Razorpay – Software Development Engineer	8	1L
Eternal – SDE	1	1L
Infoedge – AI Intern	8	1L
Nexthop AI – Software Engineer	3	1L
myKaarma – Software Engineer Intern	6	1L
Fidelity Investments – Data Scientist	4	1L
NVIDIA – System Software Engineering Intern	1	1L
NVIDIA – Hardware Engineering Intern	5	1L
PhonePe – Software Engineer	3	80k
Hilti Technology Solutions – Software Intern	2	80k
Texas Instruments (Off-Campus) – Analog / Digital / Embedded Engineer	5	75k
BNY – Developer	12+2(w)	75k
BNY – Risk & Compliance	3+1(w)	75k
Texas Instruments – Analog / Digital / Embedded Engineer	6	75k
BlackRock – AI & ML Engineer	11+1(w)	75k
BlackRock – Aladdin Data Engineering	2	75k
Mastercard – Data Scientist	4	75k
Samsung Research Bengaluru – Developer	6+7(w)	75k
Inmobi – SDE	10	70k
Qualcomm – Software Engineering, Hardware Engineering	4+2(w)	60k
Axxela – Intern	8	45k
Novartis – Intern (Field Operations / Data Science)	7	45k
Novartis – 6-Month Intern (MTech)	3	45k
Bajaj Auto – Octane GTE Intern	4+2(w)	39.5k

Branch	Number of Interns	Lowest Per Month	Highest Per Month	Median Per Month	Avg Per Month
CSE	103	45k	30L	1.5L	1.943L
ECE	62	60k	5L	1.05L	1.223L
EEE	51	39.5k	3L	1.25L	1.125L
MAT	43	45k	7.5L	1.5L	2.098L
MEC	27	39.5k	2.2L	75k	1.044L
CHEM	25	45k	2.2L	1L	1.158L
CIV	18	45k	1.75L	1.1L	1.078L
MET	15	45k	2.2L	1L	1.007L
MIN	6	75k	1.3L	1L	1.017L
CER	5	45k	1.3L	75k	79k
BCE (M.Tech)	4	45k	1.1L	77.5k	77.5k
PHY	4	1.1L	1.92L	1.425L	1.468L
MET (M.Tech)	2	45k	1.1L	77.5k	77.5k
PHE	2	75k	1L	87.5k	87.5k
BCE	1	1.1L	1.1L	1.1L	1.1L
MST	1	1.75L	1.75L	1.75L	1.75L
CHY	1	1.75L	1.75L	1.75L	1.75L
ARCH	1	1.3L	1.3L	1.3L	1.3L

• Total Offers: 387
• Total On-Campus: 358
• Total Off-Campus: 29
• Total Shortlists (SL): 366
• Total Waitlists (WL): 21

eligible for non circuital -

• databricks (but only takes cse)
• de shaw (open but circuital bias)
• jpmc
• gs
• micro
• salesforce
• rippling
• linkedin
• uber ds(didn't take anyone for ds role)
• adobe
• amazon
• NatWest
• mykarma
• itc
• blackrock
• bny
• infoedge
• eternal
• flipkart
• Novartis
• inmobi
• axxela
• plivo
• Teradata
• deutsche

rest other companies were circuital only

also, special eligibility -

• phonepe (female only)
• fidelity (idd only)
• hilti (circuital along with civil)
• sprinkler (cse only)
• cohesity (cse only)
• hul (ece eee mec eee met smst)
• itc (ece eee mec che)
• Bajaj (ece eee mec)
• Nvidia opened twice once for all circuital then for circuital female only

Note - some companies(circuital only) consider only till ece or mat, like ece and eee are not eligible and in some companies EP is eligible I am not adding that data for now, if needed do comment abt it