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Bitkernel·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jul 2026

Summary

Bitkernel had me doing a low-level bit manipulation problem for a software engineer screen. Not a long round, just one meaty question that required you to actually think through two's complement rather than pattern-match to something familiar.

Questions Asked (1)

Q1

An 8-bit signed integer using two's complement has exactly three 1-bits and five 0-bits. What is the smallest (most negative) value representable under these constraints?

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

I stared at this longer than I'd like to admit.

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AI HintsAI Generated

Suggested Approach

First, recall that in two's complement, the most negative value has the sign bit (MSB) set to 1. To minimize the value, we want the remaining 1-bits to be in the highest possible positions (closest to the MSB) to maximize the negative contribution. Then, construct the 8-bit pattern and compute its decimal value.

Pro tip: Mention that the smallest value is not simply the minimum possible integer with three 1-bits; you must consider the two's complement weighting where the MSB has negative weight. Also, verify by checking that the bit pattern indeed represents a negative number and that no other arrangement yields a smaller value.

1. Understand two's complement representation

Recall that an 8-bit signed integer uses the most significant bit (bit 7) as the sign bit with weight -2^7, and the remaining bits have positive weights 2^6 down to 2^0.

2. Identify constraints

The number must have exactly three 1-bits and five 0-bits. The sign bit must be 1 to make the number negative (since we want the smallest, most negative value).

3. Determine optimal bit positions

To minimize the value, set the sign bit to 1 and place the other two 1-bits in the highest possible positions (bits 6 and 5) to maximize the positive contribution, which actually makes the number less negative? Wait: In two's complement, the value is -128 + sum of positive weights. To get the most negative, we want the sum of positive weights to be as small as possible, so we should place the remaining 1-bits in the lowest possible positions (bits 0 and 1).

4. Construct the bit pattern and compute

Set bit 7 = 1, bit 1 = 1, bit 0 = 1, and all other bits 0. The binary pattern is 10000011. Compute its decimal value: -128 + 2 + 1 = -125.

5. Verify minimality

Check that any other placement of the two remaining 1-bits would yield a larger (less negative) value. For example, placing them at bits 6 and 5 gives -128 + 64 + 32 = -32, which is greater than -125.

Key Points to Mention

  • Two's complement representation and the negative weight of the most significant bit.
  • The sign bit must be 1 to achieve a negative value.
  • To minimize the value, the remaining 1-bits should be placed in the least significant positions to minimize the positive sum.
  • The binary pattern 10000011 corresponds to -125 in decimal.
  • Verification that no other arrangement with three 1-bits yields a smaller value.
  • The importance of considering the constraints (exactly three 1-bits) when optimizing.

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