Robotics Engineer Salary in 2024

Salary details

The average Robotics Engineer salary lies between USD 97,000 and USD 175,000 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: Dec. 15, 2024

Top 20 Job Tags for Robotics Engineer roles

The three most common job tag items assiciated with 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 | 116 jobs Engineering | 108 jobs Python | 87 jobs Testing | 64 jobs Machine Learning | 56 jobs Computer Vision | 51 jobs Computer Science | 51 jobs Research | 36 jobs Industrial | 35 jobs Linux | 32 jobs CAD | 24 jobs Architecture | 23 jobs PhD | 22 jobs Security | 21 jobs Matlab | 17 jobs SLAM | 16 jobs Agile | 16 jobs Lidar | 16 jobs Git | 15 jobs Prototyping | 14 jobs

Top 20 Job Perks/Benefits for Robotics Engineer roles

The three most common job benefits and perks assiciated with Robotics Engineer job listings are Career development, Health care and Competitive pay. 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 | 74 jobs Health care | 49 jobs Competitive pay | 43 jobs Equity / stock options | 39 jobs Startup environment | 37 jobs Insurance | 31 jobs Flex hours | 29 jobs Flex vacation | 28 jobs Team events | 28 jobs Medical leave | 21 jobs Relocation support | 12 jobs Parental leave | 11 jobs 401(k) matching | 9 jobs Wellness | 9 jobs Fertility benefits | 9 jobs Salary bonus | 6 jobs Unlimited paid time off | 6 jobs Snacks / Drinks | 4 jobs Fitness / gym | 2 jobs Conferences | 2 jobs

Salary Composition

The salary composition for AI/ML/Data Science roles can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed annual salary and usually constitutes the largest portion of the total compensation package. In tech hubs like Silicon Valley, the base salary might be higher compared to other regions due to the cost of living and competitive market.

• Bonuses: These can be performance-based or company-wide bonuses. Performance bonuses are tied to individual or team achievements, while company-wide bonuses depend on the overall success of the company. In larger tech companies, bonuses can be a significant part of the compensation.

• Additional Remuneration: This includes stock options, restricted stock units (RSUs), and other benefits like health insurance, retirement plans, and wellness programs. Startups might offer more equity to compensate for a lower base salary, while established companies might provide a balanced mix of all components.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.

• Advanced Education: Pursuing a master's or Ph.D. in a related field can open up higher-level positions and increase earning potential.

• Leadership Roles: Transitioning into managerial or leadership roles can significantly boost your salary. This might involve leading a team of data scientists or managing AI projects.

• Networking and Industry Engagement: Attend conferences, workshops, and seminars to network with industry leaders. This can lead to opportunities in higher-paying roles or companies.

Educational Requirements

Most AI/ML/Data Science positions require at least a bachelor's degree in a related field such as computer science, engineering, mathematics, or statistics. However, a master's degree or Ph.D. is often preferred, especially for research-intensive roles. Courses in machine learning, data analysis, and programming are essential.

Helpful Certificates

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

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications demonstrate proficiency in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in data science or a related field. Experience with machine learning models, data analysis, and programming languages like Python or R is crucial. Experience in deploying AI models in production environments is also highly valued.

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