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mercor·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Concurrency-focused technical screen for a software engineer role at Mercor. Two-part question that started with basic mutex usage and then pushed into more nuanced territory around lock-free patterns and when to actually use them.

Questions Asked (2)

Q1

You have a shared resource being accessed by multiple threads. Write a solution using locks to make the access thread-safe, then walk through your code and explain what each lock is protecting and why it's necessary.

System DesignTechnical Trade-offs
Author's notes

Pretty standard stuff if you've done any concurrent programming.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the shared resource and access pattern, then present a minimal lock-based solution (e.g., a mutex-protected counter or queue) and walk through the code line by line. For each lock, explicitly state what data it protects, why atomicity/visibility is needed, and discuss trade-offs like contention, granularity, and deadlock avoidance.

Pro tip: Mention that locks protect invariants, not just variables—and that you'd consider lock-free alternatives or read-write locks if contention becomes a bottleneck, showing you understand both correctness and performance.

1. Clarify the shared resource and access pattern

Ask or state assumptions about what is shared (e.g., counter, list, cache) and whether reads/writes are mixed. This determines the locking strategy and granularity.

2. Write a minimal lock-based solution

Present concise code using a mutex (or read-write lock) around critical sections. Keep it simple and correct first, then optimize if needed.

3. Walk through the code and identify critical sections

For each lock acquisition, explain what data it protects and why the operation must be atomic (e.g., check-then-act, compound updates).

4. Explain why the lock is necessary

Describe the race conditions or data corruption that would occur without the lock, referencing atomicity, visibility, and ordering.

5. Discuss trade-offs and alternatives

Mention lock granularity, contention, deadlock risks, and when to use read-write locks, atomics, or lock-free structures.

Key Points to Mention

  • Critical section identification and what invariant each lock protects
  • Atomicity, visibility, and ordering guarantees provided by locks
  • Lock granularity (coarse vs. fine-grained) and its impact on contention
  • Deadlock avoidance (lock ordering, timeouts) and reentrancy
  • Read-write locks vs. mutexes for read-heavy workloads
  • Alternatives like atomic operations, lock-free data structures, or software transactional memory

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q2

How would you improve the concurrency of your solution without breaking correctness? Walk through read/write locks, per-key locking, atomic operations like compare-and-swap, and copy-on-write. Pick one approach and justify when it actually makes sense to use it.

System DesignTechnical Trade-offsAlgorithms & Data Structures
Author's notes

This is where it got interesting.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the current solution's concurrency bottlenecks and correctness requirements, then compare the four approaches (read/write locks, per-key locking, CAS, copy-on-write) in terms of contention, complexity, and memory overhead. Pick one approach that best fits the workload characteristics (e.g., read-heavy vs write-heavy) and justify it with concrete trade-offs and a correctness argument.

Pro tip: Always tie your choice to measurable metrics like throughput, latency, and contention rate—interviewers value data-driven decisions over theoretical preferences. Also, mention that you would validate correctness with stress tests and race detectors before and after the change.

1. Clarify the problem and constraints

Ask about the current solution's concurrency model, workload patterns (read/write ratio, key distribution), and correctness guarantees (linearizability, serializability). Identify the specific bottleneck (e.g., global lock contention).

2. Compare the four approaches

Briefly explain each: read/write locks allow concurrent reads but serialize writes; per-key locking reduces contention by partitioning locks; CAS enables lock-free updates for simple atomic operations; copy-on-write avoids locking for reads by creating new versions on write.

3. Select and justify one approach

Choose the approach that best matches the workload. For example, per-key locking for a sharded key-value store with high write concurrency, or copy-on-write for a read-mostly configuration map. Justify with expected contention reduction, complexity, and memory trade-offs.

4. Address correctness and edge cases

Explain how the chosen approach maintains correctness: e.g., per-key locking requires consistent lock ordering to avoid deadlocks; CAS needs retry loops and ABA handling; copy-on-write must ensure atomic reference swaps.

5. Validate and measure

Describe how you would test the solution: stress tests, race detectors, and performance benchmarks. Mention that you would monitor contention metrics and iterate if needed.

Key Points to Mention

  • Read/write locks: good for read-heavy workloads but can starve writers and add overhead.
  • Per-key locking: reduces contention by partitioning, but requires careful lock management and can lead to deadlocks if not ordered.
  • Compare-and-swap (CAS): lock-free, but only for simple atomic updates; can suffer from ABA problem and high retry rates under contention.
  • Copy-on-write: excellent for read-mostly data with infrequent writes, but memory overhead and write latency increase.
  • Correctness invariants: linearizability, atomicity, and isolation must be preserved; use formal reasoning or model checking.
  • Performance metrics: throughput, latency percentiles, contention rate, and scalability with cores.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.