Asking strangers their Salary and Profession in Bangalore - Part 1

Summary of the video

The video is a “fun” social experiment in Bangalore where the host asks random people about their profession and expected salaries—especially entry-level pay in the city—mostly focusing on roles in software, consulting, data/AI, and semiconductors.

Main takeaways from the interviews

• Software engineering is the most common role people mention.
  • Entry-level packages are typically described as ranging from the mid-teens to ~40 LPA, depending on the company.
• Corporate/job-specific pay varies heavily based on:
  • company profile (example companies mentioned: Walmart, Salesforce)
  • experience level (fresher, 2–5 years, senior/10+ years)
  • role type (software vs consulting vs data vs semiconductor)
  • performance and how compensation is structured (base + stocks/CTC, perks, etc.)
• People estimate salary growth as experience increases:
  • multiple interviewees claim that higher experience can lead to much larger ranges
  • senior roles have “no strict upper limit” (as described by interviewees)

Examples of salary ranges mentioned

• Software engineer (Walmart)
  • ~18 LPA entry-level
  • 30+ LPA after ~4–5 years
  • 50–90+ LPA for senior roles (exact numbers vary by factors)
• Senior consultant / solution consultant
  • entry-level after post-graduation around 10–13 LPA
  • ~25 LPA after ~4–5 years experience
• Data scientist (AI/ML, robotics)
  • fresher around 7–8 LPA
  • ~20–25 LPA after 2–3 years (especially from strong colleges)
  • 50+ LPA for 5–6 years
• Software engineer (Salesforce)
  • entry-level estimated 30–40 LPA
• Software engineer (Walmart) (additional estimates)
  • fresher/intern-to-SWE-1 described as 15–20 LPA
  • next level around 30 LPA (including stocks/CTC)
  • senior roles show more flexible growth
• “UA/Drone engineer” (wording unclear)
  • entry-level: “above 20,000” (appears to be monthly)
  • ~4–5 years: “above one lakh monthly”
  • salary figures are framed in terms of monthly earnings
• Data engineer
  • entry-level around 5 LPA
  • up to 15 LPA after 4–5 years
  • 40–50 LPA after 10+ years, with “no upper limit” claimed
• Semiconductor-related “wheels engineer” (subtitle likely refers to another semiconductor engineering role)
  • entry-level: ~10 lakh mentioned (possibly after MTech/BTech; internship stipend leads to conversion)
  • mid-level (3–5 years): 15–20 lakh
  • senior pay: framed as increasing further

One deeper explanation: consulting vs implementation

One interviewee explains their role as a solutions/senior consultant:

• Consulting is split into stages:
  1. Pre-onboarding: they study the client’s challenges and propose solutions using client data/structures.
  2. Post-onboarding: the longer implementation phase (project duration may be ~1–2 years), handled differently from the shorter consulting phase (described as ~8–10 weeks).
• They also mention a similar role title could be solutions architect as one “climbs up the ladder.”

Presenters / Contributors

• Host / interviewer: name not given in subtitles
• Interviewees:
  1. Shi
  2. Vishwanad
  3. Akash Dish
  4. Kapil
  5. Shubam Raj
  6. (Name unclear) — “UA engineer / Drone engineer”
  7. Rishikesh Bri
  8. (Name unclear) — “wheels engineer” / semiconductor-related role