Salary for Senior-level / Expert Robotics Software Engineer during 2024

Salary details

The average senior-level / expert Robotics Software Engineer salary lies between USD 160,000 and USD 260,000 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 Senior-level / Expert Robotics Software Engineer roles

The three most common job tag items assiciated with senior-level / expert Robotics Software Engineer job listings are Robotics, Engineering and Computer Science. 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 | 42 jobs Engineering | 37 jobs Computer Science | 35 jobs Computer Vision | 30 jobs Python | 29 jobs Linux | 27 jobs Testing | 27 jobs Rust | 18 jobs Privacy | 16 jobs Security | 14 jobs Architecture | 14 jobs SLAM | 13 jobs PhD | 13 jobs Machine Learning | 11 jobs Research | 11 jobs Industrial | 11 jobs Physics | 8 jobs R | 7 jobs APIs | 7 jobs OpenCV | 6 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Robotics Software Engineer job listings are Equity / stock options, Competitive pay and Career development. 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:

Equity / stock options | 27 jobs Competitive pay | 26 jobs Career development | 25 jobs Health care | 19 jobs Medical leave | 16 jobs Relocation support | 15 jobs Insurance | 15 jobs Wellness | 13 jobs Fertility benefits | 13 jobs Startup environment | 8 jobs Parental leave | 6 jobs Unlimited paid time off | 4 jobs Flex hours | 3 jobs Flex vacation | 3 jobs 401(k) matching | 2 jobs Salary bonus | 2 jobs Conferences | 1 jobs Team events | 1 jobs Snacks / Drinks | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Robotics Software 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. Bonuses, which can be performance-based or tied to company success, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies or startups, and can account for 5-15% of the total package. The composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York might offer higher base salaries and stock options, while smaller companies might provide more significant bonuses to attract talent.

Increasing Salary Further

To increase your salary beyond the median of USD 214,000, consider pursuing leadership roles such as a team lead or manager, which often come with higher pay. Specializing in niche areas within AI/ML, such as reinforcement learning or autonomous systems, can also command higher salaries. Additionally, gaining expertise in emerging technologies or obtaining patents can make you more valuable. Networking within industry circles and attending conferences can open opportunities for higher-paying roles. Lastly, consider negotiating your salary based on your contributions and market research.

Educational Requirements

Most senior-level positions in this field require at least a master's degree in computer science, robotics, AI, or a related field. A Ph.D. is often preferred, especially for roles that involve research and development. The educational background should include a strong foundation in mathematics, programming, and engineering principles. Courses in machine learning, data science, and robotics are particularly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile. Certifications in machine learning from platforms like Coursera or edX, such as the "Machine Learning" course by Andrew Ng, are well-regarded. The Certified Data Scientist (CDS) or TensorFlow Developer Certificate can also be advantageous. These certifications demonstrate a commitment to continuous learning and expertise in specific tools and methodologies.

Required Experience

Typically, a senior-level role requires at least 7-10 years of experience in software engineering, with a significant portion in robotics or AI/ML. Experience should include leading projects, developing complex algorithms, and working with cross-functional teams. Familiarity with robotics frameworks like ROS (Robot Operating System) and proficiency in programming languages such as Python, C++, and Java are often expected.

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