Cruise Software Engineer information
See Arizona salary details
$59.2K - $71.2K
2% of jobs
$71.2K - $83.2K
4% of jobs
$83.2K - $95.3K
6% of jobs
$95.3K - $107.3K
8% of jobs
$113.7K is the 25th percentile. Wages below this are outliers.
$107.3K - $119.3K
7% of jobs
$119.3K - $131.4K
18% of jobs
The median wage is $134.2K / yr.
$131.4K - $143.4K
16% of jobs
$143.4K - $155.4K
2% of jobs
$160.3K is the 75th percentile. Wages above this are outliers.
$155.4K - $167.4K
26% of jobs
$167.4K - $179.5K
1% of jobs
$179.5K - $191.5K
8% of jobs
How much do cruise software engineer jobs pay per year?
As of Aug 18, 2026, the average yearly pay for cruise software engineer in Arizona is $137,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.
A Cruise Software Engineer designs, develops, tests, and maintains software systems that power autonomous vehicles at Cruise. They work on a variety of technical areas, such as perception, planning, simulation, and infrastructure, to ensure that self-driving cars operate safely and efficiently. These engineers collaborate closely with cross-functional teams to solve complex problems, implement new features, and improve system reliability. Their work is critical to advancing the technology behind autonomous transportation.
To thrive as a Cruise Software Engineer, you need a strong background in computer science, programming (especially in languages like C++, Python, or Java), and experience with autonomous systems or robotics. Familiarity with development tools such as Git, Docker, and continuous integration systems, as well as experience working with real-time operating systems, is often required. Strong problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualities are crucial for building reliable, scalable software that powers autonomous vehicles while ensuring safety and efficiency.
Cruise Software Engineers often work with highly complex, safety-critical systems that require rigorous testing and validation. One unique challenge is ensuring that software interacts reliably with real-world sensors and hardware in unpredictable environments. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and safety drivers—is essential to address issues that arise during simulation and on-road testing. Additionally, balancing rapid innovation with strict regulatory and safety standards can be demanding but is vital to the success of autonomous vehicle deployment.
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