STEM graduates hear a lot of vague reassurance about job prospects and not a lot of specifics about what the first job actually looks like — what it's called, what it pays, and how people actually get hired into it. The honest picture varies enormously by which STEM field you're in: a first software engineering role, a first lab research position, and a first entry-level mechanical engineering job have different hiring processes, different typical starting points, and different levers you can pull to improve your odds. This guide covers the realistic entry points across the major STEM tracks.
Software Engineering
Typical entry titles: Software Engineer I, Junior Developer, Associate Software Engineer, or simply Software Engineer with no seniority qualifier at smaller companies.
Software is one of the more accessible STEM tracks for new graduates because hiring is less credential-gated than fields requiring an advanced degree, and there's a well-worn path (internships, coding interviews, portfolio projects) that most employers recognize. It's also one of the more competitive tracks precisely because it's accessible — a huge number of graduates are competing for the same visible roles at well-known companies.
Starting salary reality: Ranges vary enormously by company size, location, and country — a large tech company in a major hub can pay meaningfully more than a smaller company or a lower-cost region for the same title, sometimes by a wide margin once equity and bonuses are included. Treat any specific number you read as a rough regional anchor, not a personal guarantee, and check current data on sites like Levels.fyi (skews toward large tech companies), Glassdoor, and Payscale for your specific target companies and location.
How people actually break in: An internship that converts to a full-time offer remains the single most reliable path — many large tech employers fill a significant share of their entry-level hiring this way, and it lets both sides evaluate fit before committing. A public portfolio (GitHub projects, contributions to open-source, a personal site showing real work) matters more in software than in almost any other STEM field, because it's concrete, checkable evidence of ability that a transcript can't provide. See Gabble's internship guide for international students for how to find and secure that first internship, including work-authorization basics and application timelines.
Data Analysis / Data Science
Typical entry titles: Data Analyst, Junior Data Scientist, Business Intelligence Analyst, Data Analytics Associate.
Data roles sit on a spectrum from analyst-track (heavier on SQL, dashboards, and business reporting) to data-scientist-track (heavier on statistics, modeling, and often requiring more formal machine learning background). Entry-level analyst roles are generally more accessible than data scientist roles, which increasingly expect a master's degree or equivalent applied project experience.
Starting salary reality: Meaningfully lower on average than software engineering roles at comparable seniority in most markets, though this varies by industry — data roles inside tech and finance companies tend to pay more than the same title at a company where data isn't the core product. Again, treat published averages as directional, not precise, and check current, location-specific numbers before making decisions.
How people actually break in: A portfolio of real analysis projects (using public datasets, showing the full process from raw data to a clear conclusion) substitutes for work experience the same way it does in software. Internships matter here too, though the market is somewhat less internship-dependent than software engineering — direct entry-level hiring is more common.
Lab and Research Roles
Typical entry titles: Research Assistant, Lab Technician, Research Associate I, Junior Scientist.
This track looks the most different from the others. Entry-level lab and research roles — in biotech, chemistry, materials science, and adjacent fields — generally weight research experience during your degree far more heavily than a portfolio or coding samples, because the work itself (running experiments, following protocols, handling lab equipment) is the skill being hired for. Many of these roles are explicit stepping stones toward graduate school rather than standalone long-term careers, which is worth knowing going in.
Starting salary reality: Often lower than software or data roles at comparable seniority, particularly in academic or nonprofit research settings; industry lab roles (biotech and pharma companies specifically) tend to pay more than academic research assistant positions doing similar work. Location and industry sector drive most of the variance here.
How people actually break in: Undergraduate research experience — working in a professor's lab, even unpaid or for course credit — is the single biggest lever in this track, more so than in any other STEM field on this list. It demonstrates you can actually do the work, gives you a reference who's seen you do it, and often provides the specific technical skills (particular lab techniques, instruments, or software) that job postings list as requirements.
Entry-Level Engineering (Mechanical, Civil, Electrical, and similar)
Typical entry titles: Engineer I, Associate Engineer, Graduate Engineer, Design Engineer.
Traditional engineering disciplines tend to have more structured, credential-based hiring than software — some paths eventually require professional licensure (a Professional Engineer designation in the US, Chartered Engineer status in the UK, and similar systems elsewhere), though that typically comes years after the entry-level role, not before it. Hiring is often more regionally concentrated around specific industries (aerospace clusters, automotive manufacturing regions, civil infrastructure firms tied to specific metro areas) than software hiring is.
Starting salary reality: Generally more stable and predictable than tech or finance-adjacent STEM roles, with less of the extreme high-end variance you see in software, but also typically a lower ceiling for rapid early-career salary growth. Varies significantly by specific discipline and industry — aerospace and semiconductor engineering roles, for instance, often pay more than general mechanical engineering roles in less specialized industries.
How people actually break in: Co-op programs (common in the US and Canada, where students alternate semesters of study and full-time paid work) and internships are the standard path, similar to software, but the application timelines tend to be earlier and more structured — many large engineering employers recruit a full year or more in advance for co-op and internship positions.
What's True Across All of These
A few things hold regardless of which STEM track you're in:
- Any single salary figure you read is already somewhat stale and always varies by location, company, and market conditions. Use published numbers as a rough starting range, and check current, role-specific, location-specific data before making decisions — BLS wage data, Levels.fyi, Glassdoor, and Payscale are reasonable starting points depending on the field.
- Internships and research experience that convert into full-time offers remain the most reliable path into a first role, across every track above, just in different forms (a coding internship, a research assistantship, a co-op placement). Employers use these programs specifically to de-risk entry-level hiring, and it shows in conversion rates.
- International graduates should research visa sponsorship patterns for their specific field separately from researching the field itself — the two questions don't always have the same answer, and a field that pays well or hires enthusiastically isn't automatically a field that sponsors work visas at the same rate.
Entry-level STEM hiring rewards concrete, checkable evidence that you can actually do the work — a shipped project, a research contribution, a completed internship — more than it rewards GPA or coursework alone. Building that evidence during your degree, rather than starting the job search from zero in your final semester, is the single most controllable factor in how this first job search goes.