How much does it cost to hire a software engineer in 2026?

Most companies have no idea what they actually spend to hire engineers. The visible line items, recruiter salaries and job board fees, account for roughly 30-40% of the actual cost. The rest is buried in hiring manager time, lost productivity from unfilled seats, failed hires that have to be replaced, and tool subscriptions that auto-renew whether anyone uses them or not.

SHRM's benchmark for cost-per-hire across all roles sits at approximately $4,700. That number is functionally useless for engineering hiring. Software engineering roles consistently run 4-6x higher due to specialized sourcing requirements, longer interview cycles, and the competitive compensation packages needed to close candidates. When you factor in time-to-fill costs and failed hires, the real number for most Series A-C startups lands between $20,000 and $45,000 per engineering hire, depending on the method.

If you are a recruiter or hiring manager trying to justify your tooling budget, or deciding between an agency, LinkedIn Recruiter, and newer sourcing approaches, I have laid out the math below. Every number is sourced and every calculation is shown.

What is cost-per-hire and how do you calculate it?

Cost-per-hire is the standard recruiting metric defined by SHRM and the American National Standards Institute (ANSI). The formula is straightforward: add up all internal recruiting costs and all external recruiting costs over a period, then divide by the total number of hires made in that same period.

Internal costs include everything your company spends on its own people and processes to make a hire. Recruiter salary allocation (the portion of a recruiter's time spent filling a specific role), hiring manager interview time, interviewer time across the engineering team, employee referral bonuses, onboarding and training costs, and internal recruiting coordination (scheduling, ATS administration, pipeline management).

External costs include everything you pay to third parties. Job board posting fees (Indeed, LinkedIn Jobs, Wellfound), sourcing tool subscriptions (LinkedIn Recruiter, GitHub-based tools), agency recruiter fees, background check services, skills assessment platforms (HackerRank, CodeSignal), and candidate travel reimbursement for on-site interviews.

SHRM's 2022 benchmark report, the most recent comprehensive study, placed the average cost-per-hire across all industries and roles at $4,683. Indeed's 2024 hiring data puts the median slightly higher at $4,700-$5,000. But these are all-role averages that include administrative assistants, customer support, and other positions where sourcing is a completely different game. For software engineers, the numbers are much higher.

According to Glassdoor's employer research, the average cost to hire for technical roles ranges from $15,000 to $30,000 depending on seniority. Hired.com's 2025 State of Software Engineers report places the average at $23,000 for mid-level engineers and $31,000 for senior engineers when all costs are included. The variance comes almost entirely from which sourcing method you use, which is what the rest of this breakdown covers.

The real cost breakdown for engineering hires in 2026

Here is what each component actually costs, based on current market data. These numbers assume a mid-to-senior software engineer with a base salary of $150,000-$180,000, which is the range most Series A-C startups are hiring in for 2026.

Job board postings: $2,000-$5,000 per hire. Indeed charges $300-$500 per month for a sponsored posting in competitive engineering markets. LinkedIn Jobs runs $400-$600 per month for a promoted listing. Wellfound (formerly AngelList Talent) charges $0 for basic listings but $250-$400 per month for featured placement. Most companies run postings on 2-3 platforms simultaneously for 45-60 days, landing at $2,000-$5,000 in job board spend per hire. The conversion rate on inbound applications for engineering roles is low: Lever's 2024 recruiting benchmarks show that only 2-4% of applicants for engineering roles reach the on-site interview stage, which means you are paying for volume with poor signal-to-noise.

Sourcing tools: $1,000-$1,200 per month. LinkedIn Recruiter is the dominant sourcing platform at approximately $1,000 per seat per month ($10,800-$12,000 per year). That is the cost whether you fill one role or twenty. For a team using a single seat and hiring 10 engineers per year, the per-hire allocation is $1,200. For a startup hiring 3 engineers per year, it is $4,000 per hire just for the LinkedIn license. Newer sourcing tools built on contribution data run $50-$100 per month, a fraction of the cost, though they serve a different discovery model.

Recruiting agency fees: $30,000-$45,000 per placement. External agencies charge 20-25% of the candidate's first-year base salary. For a $180,000 engineer, that is $36,000 to $45,000. For a $150,000 engineer, $30,000 to $37,500. Some agencies specialize in engineering and charge flat retained fees of $40,000-$60,000 for senior or staff-level roles. Most agency contracts include a 90-day guarantee period, meaning they will source a replacement at no additional fee if the hire does not work out. Despite the price, agencies remain the fastest sourcing channel: average time-to-fill through an agency is 30-40 days, compared to 45-62 days for in-house sourcing (Hired.com, 2025).

Internal recruiter time: $2,500-$4,000 per hire. A full-cycle technical recruiter at a startup earns $110,000-$130,000 per year (Glassdoor, 2025 median). If that recruiter spends 20% of their time over 45 days filling a single engineering role, the salary allocation is approximately $2,700-$3,200. Add in benefits (typically 20-30% of salary) and the fully loaded cost of recruiter time per hire is $3,200-$4,000. At high hiring volume (10+ roles per year), this cost amortizes well. At low volume (2-3 hires per year), a full-time recruiter is expensive capacity sitting idle.

Hiring manager and interviewer time: $1,500-$3,000 per hire. Engineering managers and senior engineers conducting interviews carry a high effective hourly cost. An engineering manager earning $200,000 per year has an effective cost of roughly $120-$140 per hour when benefits and overhead are included. A typical engineering interview loop involves 10-15 hours of interviewer time across phone screens, technical assessments, on-site interviews, and debrief meetings. At $120-$150 per effective hour, that is $1,200-$2,250 in interviewer time per hire. For senior roles with additional interview rounds, the cost climbs to $2,500-$3,000. This is the cost most companies never track because it does not appear on any invoice.

Background checks and assessments: $200-$500 per hire. Standard background checks (Checkr, GoodHire) run $30-$80 per candidate. Technical assessment platforms (HackerRank, CodeSignal, Karat) charge $100-$300 per candidate assessed. If you are screening 3-5 candidates through assessments to fill one role, the cost is $400-$1,500 in assessment fees alone, though most of this is eaten by the platform subscription rather than per-candidate charges.

The failed hire multiplier. This is the cost most companies hope they never have to calculate. The U.S. Department of Labor estimates the cost of a bad hire at up to 30% of the employee's first-year earnings in direct costs alone. But for engineering roles, the indirect costs dominate. A failed $180,000 hire who leaves or is let go after 6 months costs an estimated 1.5-2x their annual salary when you include salary paid during employment, signing bonus forfeiture, onboarding and ramp-up costs, reduced team productivity during the disruption, the full cost of re-sourcing and re-hiring, and the 3-6 months of lost output from the vacant seat. That is $270,000-$360,000 for a single failed hire. According to LinkedIn's Global Talent Trends research, approximately 46% of new hires are considered a poor fit within the first 18 months. Even if only 20% of engineering hires fail in their first year, the expected cost of failed hires adds $54,000-$72,000 per five hires, or $10,800-$14,400 per hire on an expected-value basis.

How time-to-fill multiplies your costs

Every day an engineering seat sits unfilled costs your company money in unrealized output. The question is how much.

Hired.com's 2025 State of Software Engineers report places the average time-to-fill for engineering roles at 45-62 days, depending on seniority and market. Glassdoor's data is consistent, showing a 52-day average for software engineering positions in 2025. For senior and staff-level roles, the timeline stretches to 60-75 days.

The opportunity cost of an unfilled engineering seat depends on the role's revenue impact, but a commonly used benchmark is $500-$1,000 per day in lost output. This number comes from a straightforward calculation: if an engineer earning $180,000 per year produces 3-5x their salary in business value (a standard multiplier for software engineers at growth-stage companies, per McKinsey's research on developer productivity), the daily value of that output is $1,500-$2,500. Even discounting heavily for ramp time and the fact that not all output is immediately revenue-generating, $500-$1,000 per day in lost productivity is a conservative estimate.

At that rate, a 60-day vacancy costs $30,000-$60,000 in lost productivity. A 90-day vacancy, not uncommon for senior roles, costs $45,000-$90,000. These costs never show up on any balance sheet, which is exactly why they are so easy to ignore.

The math has a direct implication for sourcing investment: anything that reduces time-to-fill by even 10 days saves $5,000-$10,000 per hire. A tool that costs $100 per month and saves you 10 days on 5 hires per year has an ROI of $25,000-$50,000 against a $1,200 annual investment. That is a 20-40x return, which is why time-to-fill is the single most important variable in the cost-per-hire equation.

Cost comparison: agency vs. in-house vs. sourcing tools

The right approach depends on your hiring volume, urgency, and internal capacity. Here is a side-by-side comparison of the four most common setups, with real numbers.

Option 1: Agency recruiter. Cost per placement: $35,000-$45,000 (20-25% of a $150K-$180K salary). No ongoing subscription cost. Fastest channel: 30-40 days average time-to-fill. Best for urgent, senior, or highly specialized roles where you cannot afford a 60-day vacancy. Worst for volume hiring: 10 agency placements at $40,000 each is $400,000 per year. The economics only work when speed justifies the premium or when you lack internal recruiting capacity entirely.

Option 2: In-house recruiter + LinkedIn Recruiter. Annual cost: $120,000-$130,000 recruiter salary + $12,000 LinkedIn Recruiter + $3,000-$5,000 job boards = approximately $135,000-$147,000 per year. If hiring 10 engineers per year: $13,500-$14,700 per hire. If hiring 5 engineers per year: $27,000-$29,400 per hire. This is the standard setup at most Series A-C startups. The per-hire cost is reasonable at volume but expensive at low volume. The hidden issue: most recruiters use only 20-30% of LinkedIn Recruiter's features, meaning you are paying for capacity you do not use.

Option 3: In-house recruiter + contribution-based sourcing (riem.ai). Annual cost: $120,000-$130,000 recruiter salary + $1,200 per year riem.ai subscription + $250-$500 per year in enrichment credits + $2,000-$3,000 job boards = approximately $123,000-$135,000 per year. If hiring 10 engineers per year: $12,300-$13,500 per hire. That is 8-19% cheaper than the LinkedIn Recruiter stack per hire, with the added advantage that candidates are discovered based on actual code contributions rather than self-reported profile keywords. The per-enrichment cost ($5) only applies when public GitHub data is insufficient and you need private contact information.

Option 4: Solo founder or hiring manager + riem.ai. Annual cost: $1,200 per year subscription + $150-$300 in enrichment credits = approximately $1,350-$1,500 per year. If hiring 3 engineers per year: $450-$500 per hire. If hiring 5 engineers per year: $270-$300 per hire. This is the setup for early-stage startups where the founder or CTO does their own sourcing. The cost-per-hire drops to a fraction of any other method because there is no recruiter salary to amortize. The trade-off is the founder's time, which has a high opportunity cost, so the per-hire number understates the true cost. But for teams that cannot justify a full-time recruiter, this is the most capital-efficient option by a wide margin.

A summary of the math: at 10 hires per year, moving from agency-first to in-house with modern sourcing tools saves $265,000-$315,000 annually. Even the more conservative move from LinkedIn Recruiter to contribution-based sourcing saves $12,000-$15,000 per year at the same hiring volume.

Where most companies waste money on engineering hiring

The cost-per-hire number is only useful if you know where the waste is. In my experience, companies overspend in four predictable places.

Paying for tools they do not fully use. LinkedIn Recruiter is the most common example. At $1,000 per month per seat, it is the single largest line item in most recruiting tech stacks after recruiter salary. Yet LinkedIn's own usage data suggests that the average recruiter uses a fraction of the platform's capabilities: basic search and InMail, rarely Boolean strings, saved searches, pipeline analytics, or the integration features that justify the enterprise price. If you are using LinkedIn Recruiter as a $12,000 per year InMail machine, you are overpaying for what you actually need.

Defaulting to agencies for roles they could source internally. Agency fees are justified when speed is critical, when you lack internal recruiting capacity, or when the role is so specialized that an agency's network is clearly superior. They are not justified as the default sourcing channel for standard mid-level engineering hires. A Series B startup that uses agencies for 50% of its engineering hires is spending $150,000-$200,000 per year on agency fees that could be largely replaced by a single in-house recruiter with the right tools.

Poor sourcing that inflates the interview funnel. Lever's recruiting benchmarks show that the average interview-to-offer ratio for engineering roles is approximately 5:1 to 6:1. That means for every engineer you hire, you interview 5-6 candidates. Each interview cycle costs $300-$500 in interviewer time. A 6:1 ratio costs $1,800-$3,000 in interview time per hire. Teams with better sourcing, meaning they start with candidates who are a closer match to the role, achieve ratios of 3:1 to 4:1, saving $600-$1,000 per hire in interviewer time alone. The upstream problem is almost always sourcing quality: when you source from contribution data instead of keyword-matched profiles, the candidates who enter your pipeline are pre-qualified by their actual work.

Not measuring cost-per-hire at all. This is the most expensive mistake because it prevents you from fixing all the others. According to SHRM's 2022 Talent Access report, fewer than half of organizations formally track cost-per-hire. Among startups, the number is even lower. If you do not know what you spend per hire, you cannot optimize it. You cannot compare channels, justify tool investments, or identify when an agency relationship has stopped delivering value. The first step to reducing cost-per-hire is calculating it.

How to reduce your engineering cost-per-hire

If I were running a recruiting team right now, these are the changes I would make first.

Start tracking your cost-per-hire quarterly. Use the SHRM formula. Include all internal costs (recruiter salary allocation, interview time, onboarding) and all external costs (tools, agencies, job boards, assessments). Divide by hires. Update it every quarter. The act of measuring it will change your behavior, because you will immediately see which channel is the most expensive and which roles are the most costly to fill.

Use contribution-based sourcing to find pre-qualified candidates. The single biggest cost driver in engineering hiring is the size of the interview funnel. If you can reduce the number of candidates you need to interview per hire from 6 to 3, you cut $600-$1,000 in interviewer time per hire and reduce time-to-fill by 10-15 days (worth $5,000-$15,000 in avoided vacancy costs). Sourcing from actual code contributions, rather than profile keywords, produces a more qualified top-of-funnel because you are selecting for engineers who have demonstrably built relevant things rather than engineers who claim to have relevant experience.

Reserve agencies for truly hard-to-fill roles. Agencies earn their fee on niche, senior, or urgent hires where their network and speed provide genuine value. For standard mid-level engineering roles, the agency premium of $35,000-$45,000 per hire is difficult to justify when an in-house recruiter with modern tools can fill the same role for $12,000-$15,000. A practical rule: use agencies for roles that have been open for 60+ days with no pipeline, or for roles where you need a candidate with a highly specific background that your sourcing tools cannot reach.

Write better outreach to improve response rates. The average InMail response rate for engineering candidates is 10-15%, according to LinkedIn's own benchmarks. Personalized outreach that references a candidate's actual work, specific commits, projects they have contributed to, or problems they have solved, achieves 25-40% response rates based on data from recruiting teams that use contribution-based sourcing. Doubling your response rate halves the number of candidates you need to contact to fill a role, which directly reduces recruiter time spent per hire. Referencing actual code in your outreach is the single highest-ROI change you can make to your recruiting workflow.

Source passive candidates before you have an open req. The most expensive part of hiring is the vacancy. If you have a warm pipeline of qualified engineers before the role opens, you can cut 15-20 days from time-to-fill, saving $7,500-$20,000 per hire in lost productivity. This does not require a massive investment in pipeline building. It requires spending 2-3 hours per week reviewing contribution data for engineers who match your tech stack and adding them to a warm list. When a role opens, you start with a dozen pre-qualified candidates instead of starting from zero.

Audit your tool stack annually. Cancel subscriptions you are not fully using. If your LinkedIn Recruiter seat is primarily used for InMail and basic search, a $100 per month contribution-based sourcing tool may cover the discovery function at a tenth of the cost. If you are paying for three different assessment platforms, consolidate to one. The recruiting tool market has changed a lot in the past two years, and many newer tools are priced for startups, not enterprises.

Spending less on recruiting is not the goal. Spending smarter is. The teams I have seen get the best results all do the same thing: they measure what they spend, they fix their sourcing quality upstream, and they let the downstream costs (interviews, offers, onboarding) shrink on their own.

Frequently asked questions

What is the average cost to hire a software engineer in 2026?

The average cost to hire a software engineer in 2026 ranges from $20,000 to $30,000 when using a combination of internal recruiters and sourcing tools. This includes recruiter salary allocation, hiring manager interview time, job board fees, and tool subscriptions. Agency placements run $35,000 to $45,000 for a single hire. The SHRM benchmark for all-role cost-per-hire is approximately $4,700, but software engineering roles consistently run 4-6x higher due to specialized sourcing, longer interview cycles, and competitive compensation.

How much do recruiting agencies charge for engineers?

Recruiting agencies typically charge 20-25% of a software engineer's first-year base salary. For an engineer earning $180,000, that translates to $36,000 to $45,000 per placement. For a $150,000 engineer, expect $30,000 to $37,500. Some agencies offer retained search at a flat fee of $40,000 to $60,000 for senior or executive-level engineering hires. Most agency agreements include a 90-day guarantee period where they will replace the hire at no additional cost if the candidate leaves.

Is LinkedIn Recruiter worth the cost for engineering hiring?

LinkedIn Recruiter costs approximately $1,000 per seat per month ($12,000 per year). Whether it is worth the cost depends on hiring volume. For teams hiring 10 or more engineers per year, the per-hire cost of $1,200 or less can be justified. For teams hiring fewer than 5 engineers per year, the per-hire cost exceeds $2,400, and most recruiters report using only 20-30% of the platform's features. Contribution-based sourcing tools offer a lower-cost alternative at $100 per month, with the added benefit of matching on actual code contributions rather than self-reported profiles.

How do you calculate cost-per-hire?

Cost-per-hire is calculated using the SHRM formula: (total internal costs + total external costs) divided by total number of hires. Internal costs include recruiter salary allocation, hiring manager interview time, employee referral bonuses, and onboarding expenses. External costs include job board fees, sourcing tool subscriptions, agency fees, background checks, and travel expenses for on-site interviews. To get an accurate number, track all costs over a defined period (typically quarterly or annually) and divide by the number of hires completed in that same period.

What is the hidden cost of a bad engineering hire?

A failed engineering hire typically costs 1.5 to 2 times the employee's annual salary when you account for all direct and indirect costs. For a $180,000 engineer, that translates to $270,000 to $360,000. This includes salary and benefits paid during employment, recruiter and hiring manager time invested, onboarding and training costs, lost productivity from the team during ramp-up, the disruption of re-opening the role, and the full cost of hiring a replacement. The U.S. Department of Labor estimates the cost of a bad hire at up to 30% of the employee's first-year earnings for the direct costs alone.

How can startups reduce their cost-per-hire?

Start by tracking it: most startups do not measure cost-per-hire at all, which makes it impossible to optimize. Replace agency recruiters with contribution-based sourcing tools for non-urgent roles, which can cut per-hire cost from $35,000-$45,000 to $12,000-$15,000. Improve outreach response rates by referencing candidates' actual work rather than sending generic templates. Reduce time-to-fill by building a pipeline of passive candidates before positions open. And audit your tool stack annually to eliminate subscriptions you are not fully using.