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

Salary details

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

In the United States, the salary composition for a Senior-level or Expert Robotics Software Engineer in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary package is divided into three main components:

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

• Bonus: Bonuses can be performance-based or company-wide and are often paid annually. They can range from 10% to 20% of the base salary, depending on the company's performance and individual contributions.

• Additional Remuneration: This includes stock options, equity, or restricted stock units (RSUs), which are common in tech companies, especially startups and large corporations. These can significantly increase total compensation, particularly if the company performs well in the stock market.

Increasing Salary Further

To increase your salary beyond the median of USD 214,000, consider the following strategies:

• Specialize Further: Gain expertise in niche areas within AI/ML or robotics that are in high demand but have a limited talent pool, such as reinforcement learning, autonomous systems, or AI ethics.

• Leadership Roles: Transition into leadership or managerial roles, such as a Director of AI/ML or Chief Robotics Officer, which typically offer higher compensation.

• Consulting or Freelancing: Leverage your expertise to offer consulting services or freelance work, which can provide additional income streams.

• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML and robotics, and consider pursuing advanced certifications or courses.

Educational Requirements

For a Senior-level or Expert Robotics Software Engineer role, the most common educational requirements include:

• Bachelor's Degree: A degree in Computer Science, Electrical Engineering, Robotics, or a related field is typically required.

• Master's or Ph.D.: Many senior roles prefer candidates with a Master's or Ph.D. in AI, Machine Learning, Robotics, or a closely related discipline, as these programs provide in-depth knowledge and research experience.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field:

• Certified Machine Learning Professional (CMLP): Validates your expertise in machine learning concepts and applications.

• AWS Certified Machine Learning – Specialty: Demonstrates your ability to design, implement, and maintain machine learning solutions on the AWS platform.

• Google Professional Machine Learning Engineer: Certifies your proficiency in designing and building machine learning models on Google Cloud.

Required Experience

Typically, a Senior-level or Expert Robotics Software Engineer is expected to have:

• 5-10 Years of Experience: In software engineering, with a significant portion dedicated to AI/ML and robotics projects.

• Project Leadership: Experience leading complex projects or teams, showcasing your ability to manage and deliver large-scale solutions.

• Cross-Disciplinary Collaboration: Proven track record of working with cross-functional teams, including data scientists, hardware engineers, and product managers.

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