Salary for Mid-level / Intermediate Robotics Engineer during 2024

Salary details

The average mid-level / intermediate Robotics Engineer salary lies between USD 81,600 and USD 163,696 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: Dec. 22, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Robotics Engineer job listings are Robotics, Engineering and Python. 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:

Robotics | 29 jobs Engineering | 28 jobs Python | 18 jobs Computer Vision | 13 jobs Computer Science | 12 jobs Machine Learning | 9 jobs Research | 8 jobs Testing | 8 jobs CAD | 7 jobs Mathematics | 7 jobs Industrial | 6 jobs PhD | 6 jobs Physics | 6 jobs Linux | 5 jobs Java | 5 jobs R | 4 jobs Agile | 4 jobs Autonomous Driving | 3 jobs Security | 3 jobs Architecture | 3 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Robotics Engineer job listings are Health care, Career development 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:

Health care | 21 jobs Career development | 19 jobs Equity / stock options | 17 jobs Competitive pay | 17 jobs Insurance | 17 jobs Flex vacation | 14 jobs Flex hours | 13 jobs Startup environment | 11 jobs Team events | 11 jobs Medical leave | 5 jobs Salary bonus | 5 jobs Relocation support | 4 jobs 401(k) matching | 3 jobs Parental leave | 2 jobs Fitness / gym | 2 jobs Unlimited paid time off | 2 jobs Fertility benefits | 2 jobs Wellness | 1 jobs Conferences | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a mid-level/intermediate robotics engineer in AI/ML/Data Science typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually make up 10-20% of the total salary. Additional remuneration might include stock options, especially in tech companies, and other benefits such as health insurance, retirement contributions, and relocation assistance. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley might offer higher base salaries and stock options, while smaller companies might focus more on bonuses and flexible work arrangements.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in a related field can open up higher-paying opportunities.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
• Leadership Roles: Aim for leadership or managerial positions, which typically offer higher salaries.
• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if the new company values your specific skill set more.

Educational Requirements

Most mid-level/intermediate robotics engineers in AI/ML/Data Science hold at least a bachelor's degree in computer science, engineering, mathematics, or a related field. A master's degree is often preferred and can be a significant advantage, especially in competitive markets. Some positions may require a Ph.D., particularly those focused on research and development.

Helpful Certificates

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

• Certified Machine Learning Professional (CMLP)
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate

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

Required Experience

Typically, a mid-level/intermediate position requires 3-5 years of experience in robotics, AI, or a related field. This experience should include hands-on work with machine learning models, data analysis, and possibly some project management. Experience in a specific industry, such as healthcare or automotive, can also be beneficial.

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