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Slot Machine Software Engineer Jobs in California

Apple

Machine Learning Software Engineer

Sunnyvale, CA · On-site

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.Strong experience in Python.Working experience in C++ or Swift.Foundational understanding of ...

Alutiiq, LLC

Software Engineer

San Diego, CA · On-site

$110K - $125K/yr

Develop, maintain, test, and deploy software applications supporting Digital Engineering, Mixed Reality, Machine Learning, Advanced Manufacturing, and laboratory modernization efforts. * Design and ...

Seyond

Software Engineer

Sunnyvale, CA · On-site

The Senior Software Engineer will develop, optimize, and deploy perception algorithms and software ... machine learning models for object detection, tracking, and classification. • Utilize edge AI ...

Apple

Machine Learning Software Engineer

Sunnyvale, CA

$181K - $318K/yr

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields. Strong experience in Python. Working experience in C++ or Swift. Foundational understanding ...

Chalk

Software Engineer

San Francisco, CA · On-site

Chalk is building the data platform that powers the future of machine learning applications. They are seeking Software Engineers to tackle challenging engineering problems with autonomy and ownership ...

Apple

Senior Software Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

Our organization combines ground breaking software engineering with the power of machine learning to build systems that shape the future. We're seeking a Senior Software Engineer who values ...

Epic

Software Engineer

Sunnyvale, CA · On-site

As a software developer, you will utilize modern methodologies and technologies to innovate and ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

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Showing results 1-20

All JobsSlot Machine Software Engineer JobsSlot Machine Software Engineer Jobs in California

Slot Machine Software Engineer information

See California salary details

$70.6K

$110.5K

$154.5K

How much do slot machine software engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for slot machine software engineer in California is $110,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $125,300.00 per year, depending on experience, location, and employer.

What is the difference between Slot Machine Software Engineer vs Casino Game Developer?

AspectSlot Machine Software EngineerCasino Game Developer
Required CredentialsComputer Science degree, programming skills, knowledge of gaming regulationsComputer Science or Game Design degree, programming skills, understanding of gaming laws
Work EnvironmentCasino software companies, gaming labs, online gaming platformsGame studios, online casinos, gaming software providers
Industry UsageDesigns and develops software for slot machines specificallyCreates a variety of casino games including slots, table games, and more

While both roles involve developing gaming software, Slot Machine Software Engineers focus specifically on slot machine technology, ensuring compliance and functionality. Casino Game Developers have a broader scope, creating various casino games beyond just slots. The roles often overlap in skills and work environments but differ in their specific focus within the gaming industry.

What is a Slot Machine Software Engineer?

A Slot Machine Software Engineer is a specialized software developer who designs, develops, and maintains the software that powers electronic slot machines and gaming systems. They work on creating game logic, graphics integration, and ensuring compliance with gaming regulations. These engineers also collaborate with designers and testers to deliver engaging and fair gaming experiences. Their work is crucial for both the entertainment value and security of slot machine games.

What are the key skills and qualifications needed to thrive as a Slot Machine Software Engineer, and why are they important?

To thrive as a Slot Machine Software Engineer, you need strong programming skills (commonly in C++, C#, or Java), knowledge of game mathematics, and a relevant degree in computer science or engineering. Familiarity with gaming platforms, regulatory compliance systems, debugging tools, and experience with random number generators (RNGs) are typically required. Creativity, attention to detail, and effective collaboration help engineers design engaging and compliant gaming experiences. These skills ensure reliable, secure, and enjoyable slot machine software that meets both regulatory standards and player expectations.

What are some unique challenges Slot Machine Software Engineers face when developing new game features?

Slot Machine Software Engineers often navigate strict regulatory requirements and compliance testing, which can impact how features are designed and implemented. They must balance creative game design with mathematical precision to ensure fairness and randomness, all while optimizing performance for real-time play. Collaboration with artists, mathematicians, and QA testers is frequent, making strong communication skills essential. The dynamic nature of the gaming industry also means engineers need to stay updated on new technologies and player trends.
What are popular job titles related to Slot Machine Software Engineer jobs in California? For Slot Machine Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Slot Machine Software Engineer jobs in California look for? The top searched job categories for Slot Machine Software Engineer jobs in California are:
What cities in California are hiring for Slot Machine Software Engineer jobs? Cities in California with the most Slot Machine Software Engineer job openings:
Slot Machine Software Engineer jobs near you
Software Engineer - Machine Learning

Software Engineer - Machine Learning

Quantiply Corporation

San Jose, CA • On-site

Full-time

Posted 22 days ago

Job description

Company Description
Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.
Job Description
We're looking for software engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply's growth in the Anti-Money Laundering space.
Ideal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of high-performance computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.
Responsibilities:
  • Develop highly scalable deep learning, reinforcement learning and bayesian models.
  • Support research projects by providing innovative designs for end-to-end Machine Learning systems.
  • Optimize performance of complex machine learning systems. Exploit modern parallel environments.
  • Design and develop software libraries.
  • Partner with Product and Engineering teams to explore new opportunities.
  • Influence product features and product roadmap through exploratory analysis.
  • Report and present software developments verbally and in writing.

Qualifications
Minimum qualifications:
  • PhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience.
  • Strong knowledge and experience in Python, Docker and Kubernetes.
  • Working experience in Tensorflow.
  • Working experience with distributed software architecture.
  • Knowledge of machine learning and statistics.

Preferred qualifications:
  • Strong experience in Tensorflow or similar frameworks.
  • Strong experience with concurrent and distributed software architecture.
  • Experience with Hadoop.
  • Experience with C++/Java/Scala.

Additional Information
All your information will be kept confidential according to EEO guidelines.

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