Software Engineer Salary in 2024

Salary details

The average Software Engineer salary lies between USD 141,100 and USD 233,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 12, 2025

Salary trend

Top 20 Job Tags for Software Engineer roles

The three most common job tag items assiciated with Software Engineer job listings are Engineering, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 8922 jobs Python | 8801 jobs Machine Learning | 7466 jobs Computer Science | 6716 jobs Architecture | 4754 jobs Java | 4370 jobs AWS | 3909 jobs Testing | 3885 jobs Security | 3717 jobs Pipelines | 3068 jobs APIs | 2929 jobs Kubernetes | 2907 jobs SQL | 2838 jobs Research | 2797 jobs Agile | 2703 jobs Azure | 2456 jobs JavaScript | 2207 jobs Docker | 2134 jobs Privacy | 2129 jobs GCP | 2125 jobs

Top 20 Job Perks/Benefits for Software Engineer roles

The three most common job benefits and perks assiciated with Software Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 8577 jobs Health care | 4752 jobs Equity / stock options | 4641 jobs Startup environment | 2910 jobs Competitive pay | 2724 jobs Flex hours | 2660 jobs Salary bonus | 2592 jobs Medical leave | 2489 jobs Flex vacation | 2264 jobs Insurance | 2151 jobs Parental leave | 1969 jobs Team events | 1836 jobs 401(k) matching | 1436 jobs Wellness | 1222 jobs Relocation support | 737 jobs Fertility benefits | 541 jobs Transparency | 514 jobs Unlimited paid time off | 496 jobs Home office stipend | 478 jobs Flexible spending account | 472 jobs

Salary Composition

The salary for a Software Engineer specializing in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually forms the largest part of the total compensation. Bonuses can vary significantly depending on the company's performance and individual contributions. In regions like Silicon Valley, equity can be a substantial part of the package, reflecting the high-risk, high-reward nature of startups and tech giants. In contrast, companies in other regions or industries might offer smaller bonuses and less equity, focusing more on the base salary. Larger companies often provide more structured bonus plans and additional benefits like health insurance, retirement plans, and professional development funds.

Increasing Salary

To increase your salary from this position, consider pursuing advanced roles such as Senior Software Engineer, Lead Data Scientist, or AI Architect. These roles often require a combination of technical expertise, leadership skills, and strategic thinking. Gaining experience in managing projects or teams can be beneficial. Additionally, specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable. Networking within the industry and staying updated with the latest trends and technologies can also open up opportunities for higher-paying roles. Pursuing further education, such as a master's or Ph.D., can also enhance your qualifications and salary prospects.

Educational Requirements

Most positions in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for more advanced roles. A strong foundation in mathematics, statistics, and programming is essential. Courses in machine learning, data mining, and artificial intelligence are highly beneficial. Some roles may also require knowledge of specific programming languages like Python, R, or Java, and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

Helpful Certifications

While not always required, certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• IBM Data Science Professional Certificate

These certifications can validate your skills in specific platforms and tools, making you more attractive to potential employers.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in software engineering, data analysis, or a related field. Experience with machine learning models, data processing, and algorithm development is crucial. Practical experience in deploying AI/ML solutions in real-world scenarios is highly valued. Internships, co-op programs, or project work during your studies can also count towards this experience.

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