The "cost to hire developers" conversation often gets reduced to salary, leading founders to underestimate the actual cost by 50-100%. Salary is the smallest line item in the engineering budget. The big costs are recruiting fees, search expenses, productivity loss during ramp, tooling per engineer, and turnover from wrong hires. If you're budgeting "three engineers at $200k each = $600k," your real number is closer to a million, probably more.

Let's break down the full picture — lack of clarity at planning time becomes panic at burn time.

Salary, the headline number.

In the US in 2026, a senior software engineer at a competitive tech company earns $200-280k base, with $80-200k in equity vesting over four years, and a bonus of 10-25% of base. A staff engineer earns significantly more. A junior earns $130-180k.

Startups competing with big-tech salary bands must pay similarly or miss out on senior talent. Some early-stage companies trade lower salary for higher equity, but post-2022, many engineers prefer cash after watching equity grants get diluted or evaporate.

For offshore or distributed teams, the math varies. In LATAM, senior talent costs $80-160k; in Eastern Europe, $60-130k; in South Asia, $40-100k. Salaries scale with local markets and English fluency. Top talent in any region approaches US salaries as remote-first US companies bid for them.

Salary is roughly half of what you'll pay per engineer. The rest is everything else.

Recruiting cost.

External recruiter fees: 20-30% of first-year base salary. For a senior US hire, that's $40-80k per placement. Agencies do work, but they're expensive and sometimes pay for intros you could make yourself.

Internal recruiter cost: $150-200k per year, handling 8-12 hires annually, so $15-25k per hire. Better than agencies if you have volume; worse if hiring sporadically.

Founder-led recruiting: Founders should recruit early on. The "cost" is the opportunity cost of the founder's time, but conversion rates and candidate quality are better. Plan for 20-40% of a founder's time on hiring during heavy quarters.

Sourcing tools: $1-3k per month. Often forgotten.

Time spent interviewing: a silent expense. For each senior hire, expect 15-30 first-round screens to find one good candidate, plus three to four hours of senior engineer time per candidate in the loop. Multiply by candidates and interviewers. Hiring at scale consumes significant senior engineer time.

Real all-in recruiting cost per hire lands in the $30-80k range for US senior hires. Plan for it.

Ramp time.

This is the most underestimated cost. A senior engineer isn't fully productive on day one. They don't know the codebase, team, or system. They're learning, and you're paying them to learn.

Ramp curve:

A senior engineer at $250k base costs $1.5M in the first six months in raw output terms. If you hire three at once, you're investing several hundred thousand dollars in ramp before reaching full velocity.

"We're hiring three engineers and we'll be 3x faster in three months" is wrong. You'll be 0.5-1.5x faster in three months and 2-2.5x faster in six. Immediate productivity is a structural optimism.

Tooling and overhead.

Per-engineer tooling adds up fast. Rough US numbers for a senior engineer in 2026:

Equipment and tooling all-in: $15-30k per engineer per year on top of salary.

Turnover and mis-hires.

A mis-hire — someone wrong for the role who leaves within a year — costs:

Industry estimates put the cost of a mis-hire at 1.5-3x the engineer's annual cost. For a senior engineer, that's $400k-$900k in pure waste.

Hiring slowly and well is cheaper than hiring fast and remediating. Founders under pressure to "scale the team" often make the wrong trade. The right answer: take an extra month to find the right person, run a better interview loop, do reference checks properly. The savings are enormous.

Healthy churn vs. unhealthy churn.

Some turnover is healthy. Engineers leave for life events, opportunities your company can't offer, or to start their own thing. Plan for 10-15% annual voluntary turnover even at a great company.

Unhealthy turnover stems from management, compensation, culture issues, or burnout. If turnover exceeds 20%, you're paying the hiring budget twice. The fix is rarely "pay more"; it's usually management.

Managed exits — engineers performance-managed out — are costly, both in dollars and morale. Sometimes they're correct, sometimes they signal bad hiring.

A budget model that's more realistic.

For salary anchors, the Stack Overflow 2024 Developer Survey and SHRM's Human Capital Benchmarking align with the math below. For a US senior engineer in 2026, the fully-loaded cost in year one is roughly:

Total year-one cost per senior engineer: $460-550k.

The salary is roughly half of the real cost. The other half hides in benefits, recruiting, ramp, and tooling — categories most engineering budgets understate.

For a team of three: $1.4-1.65M, not $750k.

For an offshore senior engineer at $120k base, the math changes — ramp time is similar, but salary, benefits, and tooling are lower. All-in year-one cost is $180-220k. This is an underrated reason for distributed teams: not just salary savings, but savings on everything else.

For a junior engineer, the salary is lower, but ramp is longer (12-18 months to full productivity) and supervision cost is significant. Juniors are good long-term investments but don't reduce short-term hiring costs.

Practical implications.

The first hire is the most expensive per-output. Single hires lack a pre-existing team to ramp into. Plan accordingly.

Hiring in waves is more efficient than continuous hiring. A wave hire (three engineers starting within a month) shares ramp investment — they onboard together, help each other, and ramp faster. Don't string out hires unnecessarily.

The interview loop is engineering investment. Hours spent interviewing are hours not building product. Optimize the loop for maximum signal in minimum time. Don't run six-stage loops if four suffice. Don't have eight interviewers if four suffice.

Retention is cheaper than recruiting. The compounding cost of churn is huge. Investments in management quality, compensation parity, and team health are high-leverage hiring investments. Treating existing engineers well is your most cost-effective recruiting program.

Build the bench before you need it. The best hires often happen during quiet quarters when great candidates are available. If you only hire when needed, you pay a competitive market premium.

One more thing — the AI productivity multiplier is real and uneven. Senior engineers using Claude Code, Cursor, and Codex aggressively are shipping 2-3x more. Juniors using the same tools without judgment ship code that takes longer to review than it saved to write. The implication for hiring: the variance in engineer output is widening fast. Cost-per-effective-engineer is dropping for teams hiring well and learning the AI stack; it's rising for teams that don't. This is a market structure shift, not a fad. Plan your team shape around senior-heavy, AI-fluent operators rather than headcount alone.

The TL;DR: budget 2x what the salary implies to model engineering cost honestly. Salary is the floor, not the ceiling. The rest of the iceberg is recruiting, ramp, tooling, and the cost of getting it wrong. Plan for it or be surprised by it. The surprise is more expensive.