Salary for Mid-level / Intermediate Software Development Engineer in United States during 2024

Salary details

The average mid-level / intermediate Software Development Engineer salary lies between USD 122,000 and USD 216,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Mid-level / Intermediate Software Development Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Software Development Engineer job listings are Computer Science, Machine Learning and Engineering. 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:

Computer Science | 72 jobs Machine Learning | 64 jobs Engineering | 63 jobs Testing | 58 jobs Python | 54 jobs Architecture | 50 jobs AWS | 44 jobs Spark | 36 jobs SDLC | 35 jobs Java | 35 jobs Agile | 34 jobs Security | 29 jobs Big Data | 28 jobs Research | 28 jobs SQL | 25 jobs Pipelines | 23 jobs Distributed Systems | 20 jobs APIs | 20 jobs Deep Learning | 18 jobs Privacy | 18 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Software Development Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Software Development Engineer job listings are Career development, Equity / stock options and Startup environment. 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 | 73 jobs Equity / stock options | 36 jobs Startup environment | 31 jobs Team events | 28 jobs Competitive pay | 24 jobs Health care | 22 jobs Flex hours | 17 jobs Conferences | 11 jobs Medical leave | 11 jobs Insurance | 10 jobs Parental leave | 9 jobs Relocation support | 5 jobs Flex vacation | 4 jobs Salary bonus | 4 jobs Gear | 3 jobs Transparency | 3 jobs Signing bonus | 3 jobs Home office stipend | 3 jobs Wellness | 1 jobs Travel | 1 jobs

Salary Composition

In the United States, the salary composition for a mid-level/intermediate software development engineer specializing in AI/ML/Data Science typically includes a combination of base salary, bonuses, and additional remuneration such as stock options or equity. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, might contribute around 10-15%. Additional remuneration, such as stock options or equity, can vary significantly depending on the company size and industry. For instance, tech giants and startups in regions like Silicon Valley often offer substantial equity packages, while companies in other regions or industries might focus more on cash bonuses.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, especially in emerging AI/ML technologies and tools.
• Advanced Education: Pursue advanced degrees or specialized certifications that can set you apart from peers.
• Leadership Roles: Seek opportunities to lead projects or teams, as management experience can significantly boost your earning potential.
• Networking: Build a strong professional network to learn about higher-paying opportunities and industry trends.
• Industry Shift: Consider moving to industries that pay higher salaries for AI/ML expertise, such as finance or healthcare.

Educational Requirements

Most mid-level positions in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree is increasingly preferred, as it provides deeper knowledge and specialization in AI/ML techniques. Some roles may also value interdisciplinary studies that combine computer science with fields like statistics or engineering.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Data Science Council of America (DASCA) Certifications

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

Required Experience

Typically, a mid-level AI/ML/Data Science role requires 3-5 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in deploying AI solutions in production environments and collaborating with cross-functional teams is also highly valued.

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