Alabuga hardware engineering salaries

Across 36 open hardware engineering postings at Alabuga that state a range, the middle half pays $38k–$67k a year, with a median of $60k. The lowest posted floor is $51k and the highest ceiling $69k. This is base pay as posted by Alabuga, converted to US dollars; equity and bonus are not included.

From pay ranges in open postingsRebuilt 9 Oct 2026

The range

Lowest floor$51k
25th percentile$38k
Median$60k
75th percentile$67k
Highest ceiling$69k

Postings by the midpoint of the posted range, in steps of $5k

Middle halfMedian bucket

Median by team at Alabuga

Engineering leadership$90k
Hardware engineering$60k
Field and service$40k
QA and testing$21k
Analytics$18k
Technical support$18k

Postings with a stated range: Engineering leadership 6 · Hardware engineering 36 · Robotics 37 · Field and service 18 · AI and machine learning 40 · QA and testing 7 · Analytics 6 · Technical support 6

Hardware engineering pay by level

LevelPostingsMedianMiddle half
Mid-level9$60k$60k–$60k
Senior4$46k$46k–$46k
Lead10$67k$67k–$67k

36 hardware engineering roles open at Alabuga now

36 of them show the pay range on the posting.

Questions

How much does Alabuga pay for hardware engineering roles?

The median of the 36 posted ranges is $60k a year; the middle half sits between $38k and $67k.

Is this base salary or total compensation?

Base salary as written in the posting. Many US employers post ranges under state pay transparency laws (California, New York, Washington, Colorado and others); equity and bonus are not part of these figures.

Why posted ranges and not self-reported salaries?

A posted range is what the employer commits to for a role it has open today. It is fresher than a survey and cannot be inflated by respondents. Each posting counts once, at the midpoint of its range.

Which level pays most?

Lead roles have the highest median here: $67k a year across 10 postings.

Source: the pay ranges of 36 open postings on Alabuga's careers board; the midpoint of each rangeUpdated 9 Oct 2026MethodologyJSONCC BY-SA 4.0