Robotics Software Engineer Salary in 2024

Salary details

The average Robotics Software Engineer salary lies between USD 160,000 and USD 240,000 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 Software Engineer roles

The three most common job tag items assiciated with 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 | 72 jobs Engineering | 63 jobs Computer Science | 60 jobs Computer Vision | 48 jobs Python | 45 jobs Linux | 43 jobs Testing | 37 jobs Rust | 28 jobs Privacy | 26 jobs SLAM | 23 jobs Security | 22 jobs Machine Learning | 20 jobs Architecture | 20 jobs Physics | 20 jobs Research | 17 jobs Mathematics | 17 jobs PhD | 15 jobs Industrial | 14 jobs R | 10 jobs Git | 10 jobs

Top 20 Job Perks/Benefits for Robotics Software Engineer roles

The three most common job benefits and perks assiciated with Robotics Software Engineer job listings are Career development, Equity / stock options 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 | 45 jobs Equity / stock options | 41 jobs Competitive pay | 40 jobs Health care | 35 jobs Medical leave | 28 jobs Relocation support | 26 jobs Insurance | 25 jobs Fertility benefits | 22 jobs Wellness | 21 jobs Startup environment | 14 jobs Parental leave | 9 jobs Flex hours | 7 jobs Flex vacation | 6 jobs Team events | 5 jobs Unlimited paid time off | 5 jobs Salary bonus | 4 jobs 401(k) matching | 3 jobs Conferences | 3 jobs Snacks / Drinks | 2 jobs Fitness / gym | 1 jobs

Salary Composition

The salary for a Robotics Software Engineer specializing 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 company-wide, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies or startups, and other benefits like health insurance, retirement plans, and relocation assistance. 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 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 niche areas like deep learning, reinforcement learning, or AI ethics can make you more valuable.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly boost your salary. This might involve leading a team of engineers or managing projects.
• Networking: Building a strong professional network can open up opportunities for higher-paying positions. Attend industry conferences, join professional organizations, and engage in online forums.
• Advanced Education: Pursuing further education, such as a Ph.D. or an MBA, can position you for higher-level roles with increased compensation.

Educational Requirements

Most positions in this field require at least a bachelor's degree in computer science, robotics, engineering, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex problem-solving and research. Courses in machine learning, data science, and artificial intelligence are particularly beneficial.

Helpful Certificates

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

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

These certifications demonstrate your expertise and commitment to staying current in the field.

Required Experience

Typically, 3-5 years of experience in software engineering, robotics, or a related field is required. Experience with AI/ML projects, data analysis, and algorithm development is highly valued. Practical experience with programming languages such as Python, C++, and Java, as well as familiarity with AI frameworks like TensorFlow or PyTorch, is often expected.

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