Robotics Software Engineer Salary in United States during 2024

Salary details

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

In the United States, the salary composition for a Robotics Software Engineer specializing 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 tends to 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 profitability and individual performance.

• 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 193,000, consider the following strategies:

• Specialize Further: Gain expertise in niche areas within AI/ML, such as deep learning, reinforcement learning, or computer vision, which are in high demand.

• Leadership Roles: Transition into managerial or lead roles, such as AI/ML team lead or project manager, which typically offer higher salaries.

• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML. Attending workshops, conferences, and pursuing advanced certifications can make you more valuable.

• Networking: Build a strong professional network in the AI/ML community. This can lead to opportunities in higher-paying companies or roles.

Educational Requirements

Most positions for a Robotics Software Engineer in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving complex algorithm development or research.

Helpful Certifications

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 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 software engineering, with a focus on AI/ML or data science projects. Experience in robotics, particularly in developing algorithms for autonomous systems, is highly valued. Practical experience with programming languages like Python, C++, and frameworks like TensorFlow or PyTorch is often required.

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