Ola Interview Questions India 2026: Ola Cabs & Ola Electric SDE, PM & Data Roles

Ola Cabs' tech team in Bengaluru runs a standard product company interview process for SDE roles.

Round 1: Resume Screen / HR Screen

• Basic background check; no technical content
• Confirm notice period, location preference, compensation range

Round 2: Online Assessment

• 2 DSA problems on HackerRank, 60–90 minutes
• LeetCode Easy + Medium split
• Some reports include a SQL query round in the assessment

Round 3: Technical Interview 1 (DSA)

• 1–2 problems live, Google Doc or shared editor
• Ride-hailing framing common: 'given a list of driver locations and a rider location, find the nearest K drivers'
• Topics: sorting, hash maps, heaps, BFS/DFS

Round 4: Technical Interview 2 (System Design)

• Expected for 2+ years
• Common topics:
• Design Ola's driver matching system
• Design real-time ETA calculation for a ride
• Design Ola's surge pricing engine
• Design the driver earnings and payout system

Round 5: Technical + Behavioural (Engineering Manager)

• Past project deep-dive: 'describe the most complex system you've built'
• Team collaboration: 'describe a disagreement you had with a senior engineer and how it resolved'
• Ownership: 'describe a time a production issue happened on your watch'

Round 6: HR / Offer

• Compensation negotiation
• Ola Cabs offers on the lower end of product company bands; negotiate with a competing offer

Ola system design questions are almost always ride-hailing specific. Study these patterns before the interview.

Question 1: Design Ola's driver matching system

Core problem: Given millions of GPS pings per second from drivers, match a rider request to the nearest available driver within 500ms.

Key components:

• Location indexing: Use a geohash or S2 cell index (Google's spatial library) to partition the map into cells. Store driver locations in Redis with geohash keys for O(1) cell lookup.
• Match algorithm: Rider request → determine rider's geohash cell → query drivers in that cell and adjacent cells (8 neighbours) → sort by straight-line distance → return top-K candidates → assign the one with lowest ETA (not distance: ETA accounts for traffic)
• Scale: 500K concurrent drivers in India. Redis cluster with geospatial indexing (GEOADD/GEORADIUS commands).
• Staleness: Driver location updates every 5 seconds. An assignment may go to a driver who just went offline: handle with a retry on the next-best match.

Question 2: Design a real-time ETA engine

• Input: Rider pickup location, driver current location
• Data sources: Historical trip duration data (by road segment, time of day), real-time traffic (Google Maps API or HERE Maps), ML model trained on Ola's own trip history
• Output: ETA ± confidence interval
• Cache: Pre-compute ETAs for common origin-destination pairs during off-peak; invalidate on traffic incident triggers

Question 3: Design Ola's surge pricing system

• Trigger: supply (available drivers) / demand (rider requests) ratio falls below threshold in a geohash cell
• Surge multiplier: 1.2x → 1.5x → 2x based on demand-supply ratio bands
• Transparency: Rider sees surge multiplier and estimated wait time before confirming
• Abuse prevention: Don't let surge multiplier update faster than 1-minute windows (prevents driver collusion: drivers going offline to trigger surge, then back online)
• Regulatory consideration: Some Indian state transport authorities cap surge multipliers. Build a per-state config layer.

Ola Electric is a hardware + software company. Tech roles fall into three tracks: embedded systems / firmware, vehicle software (infotainment, OTA, diagnostics), and platform engineering (cloud, data, connectivity).

Embedded Systems / Firmware roles:

• 'Explain the difference between a microcontroller and a microprocessor'
• 'How does a BMS (Battery Management System) communicate with the vehicle ECU?'
• 'What protocols are used in automotive systems?'
• Answer: CAN bus (most common), LIN bus, Ethernet (for ADAS), UART, SPI, I2C
• 'How do you handle real-time constraints in an RTOS?'
• C/C++ coding on bare metal: write an interrupt service routine, implement a circular buffer

Vehicle Software (OTA, Infotainment):

• 'How does an OTA (over-the-air) update work for an EV?'
• Answer: Delta update package → cryptographic signature verification → staged rollout by vehicle cohort → rollback capability if post-update telemetry shows faults
• 'Design a system to detect and alert on abnormal battery cell temperatures'
• Python or Go for cloud-to-vehicle connectivity APIs

Platform Engineering (data, cloud):

• Standard product engineering interview (DSA + system design)
• EV-specific context: telemetry pipelines (CAN frame data ingestion → Kafka → data lake), fleet management dashboards, predictive maintenance models
• SQL/Python for analyzing vehicle diagnostic data

Ola Electric culture note: Ola Electric moves fast and operates closer to a startup culture than its parent ANI Technologies. Engineers are expected to own across hardware-software boundaries and handle ambiguity well.

Ola Cabs and Ola Electric have different compensation structures post-separation.

Ola Cabs (ANI Technologies): SDE: | Level | Salary Range | |---|---| | SDE-1 (0–2 yrs) | ₹14–24 LPA | | SDE-2 (2–5 yrs) | ₹24–45 LPA | | Senior SDE (5–8 yrs) | ₹40–70 LPA | | Staff Engineer | ₹65–95 LPA |

Ola Electric: SDE / Firmware: | Level | Salary Range | |---|---| | SDE-1 / FW-1 (0–2 yrs) | ₹12–22 LPA | | SDE-2 / FW-2 (2–5 yrs) | ₹22–42 LPA | | Senior / Lead (5–8 yrs) | ₹40–70 LPA |

Note: Ola Electric ESOPs are now liquid (listed on NSE/BSE). The stock has been volatile post-IPO: factor this into total compensation valuation.

Product Manager:

• Ola Cabs PM: ₹20–55 LPA depending on level
• Ola Electric PM: ₹18–50 LPA (smaller PM team, hardware product ownership)

Data / Analytics:

• Data Analyst: ₹10–22 LPA
• Data Scientist: ₹18–40 LPA

Negotiation: Ola is known for flexibility on joining bonus for candidates coming from higher-paying companies. Base negotiation is harder. For Ola Electric, ESOP negotiation is meaningful given the listed stock.