Salary for Senior-level / Expert Robotics Engineer in United States during 2024

Salary details

The average senior-level / expert Robotics Engineer salary lies between USD 115,000 and USD 190,000 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: Dec. 22, 2024

Top 20 Job Tags for Senior-level / Expert Robotics Engineer roles

The three most common job tag items assiciated with senior-level / expert 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 | 60 jobs Engineering | 58 jobs Python | 47 jobs Testing | 44 jobs Machine Learning | 36 jobs Computer Science | 30 jobs Computer Vision | 27 jobs Industrial | 22 jobs Linux | 19 jobs Research | 18 jobs Architecture | 15 jobs PhD | 15 jobs Matlab | 14 jobs Security | 14 jobs SLAM | 13 jobs Lidar | 13 jobs CAD | 12 jobs Git | 12 jobs Prototyping | 9 jobs Privacy | 9 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Robotics Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 42 jobs Health care | 26 jobs Competitive pay | 23 jobs Equity / stock options | 20 jobs Startup environment | 15 jobs Medical leave | 15 jobs Flex vacation | 14 jobs Team events | 14 jobs Insurance | 14 jobs Flex hours | 10 jobs Parental leave | 8 jobs Relocation support | 8 jobs Wellness | 7 jobs Fertility benefits | 7 jobs 401(k) matching | 5 jobs Unlimited paid time off | 4 jobs Snacks / Drinks | 3 jobs Salary bonus | 2 jobs Lunch / meals | 1 jobs Gear | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Robotics Engineer in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly, often comprising 10% to 20% of the total compensation, depending on individual and company performance. Additional remuneration, such as stock options, can make up the remaining 5% to 15%, and this is more prevalent in larger tech companies or startups with high growth potential. Regional differences also play a role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market. Industry-wise, companies in sectors like autonomous vehicles, aerospace, and advanced manufacturing may offer higher compensation packages compared to traditional manufacturing or academic institutions.

Increasing Salary

To increase your salary further from a Senior-level position, consider the following strategies:

• Specialization: Develop expertise in niche areas of AI/ML or robotics that are in high demand but have a limited talent pool, such as reinforcement learning, computer vision, or autonomous systems.
• Leadership Roles: Transition into managerial or leadership roles, such as a Director of AI/ML or Chief Robotics Officer, which typically offer higher compensation.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML and robotics through courses, workshops, and conferences.
• Networking: Build a strong professional network by attending industry events and joining relevant professional organizations, which can lead to higher-paying opportunities.
• Consulting: Consider offering consulting services or starting a side business in your area of expertise, which can supplement your income.

Educational Requirements

For a Senior-level or Expert Robotics Engineer position in AI/ML/Data Science, a strong educational background is essential. Most employers require at least a Master's degree in Robotics, Computer Science, Electrical Engineering, or a related field. A Ph.D. is often preferred, especially for roles that involve research and development or require deep technical expertise. Coursework in machine learning, artificial intelligence, data science, and robotics is crucial, along with a solid foundation in mathematics and programming.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to professional development. Some valuable certifications include:

• Certified Machine Learning Professional (CMLP)
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• Robotics Process Automation (RPA) Developer Certification

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

Required Experience

Typically, a Senior-level or Expert Robotics Engineer in AI/ML/Data Science is expected to have at least 7 to 10 years of relevant experience. This includes hands-on experience in designing, developing, and deploying AI/ML models and robotic systems. Experience in leading projects, mentoring junior engineers, and collaborating with cross-functional teams is also highly valued. A proven track record of successful projects and contributions to the field, such as publications or patents, can further strengthen your candidacy.

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