ZipRecruiter

Log In

1

Slot Machine Software Engineer Jobs in Reno, NV (NOW HIRING)

Meruelo Group

Financial Analyst - Full Time

Reno, NV

Create in-depth financial models using databases, Excel and other software. Apply statistical techniques to address practical issues in a casino environment. Analyze performance of slot machines in ...

Hamilton Company

CNC Inspector - Machine Shop

Reno, NV

$23 - $40/hr

... software and processes. * Perform as needed inspection/calibration procedures to fulfill Hamilton company needs external to the machine shop. * Collaborate with operators and internal engineering ...

Hamilton Company

CNC Inspector - Machine Shop

Reno, NV · On-site

$23 - $40/hr

... software and processes. * Perform as needed inspection/calibration procedures to fulfill Hamilton company needs external to the machine shop. * Collaborate with operators and internal engineering ...

Grand Sierra Resort & Casino

Financial Analyst

Reno, NV · On-site

$50K - $60K/yr

... software. • Apply statistical techniques to address practical issues in a casino environment. • Analyze performance of slot machines in casino environment. • Analyze opportunities to improve ...

DataAnnotation

Software Developer

Sparks, NV · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Software Developer

Reno, NV · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

next page

Showing results 1-20

All JobsSlot Machine Software Engineer JobsSlot Machine Software Engineer Jobs in Reno, NV

Slot Machine Software Engineer information

See Reno, NV salary details

$71.3K

$111.7K

$156K

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

As of Jun 13, 2026, the average yearly pay for slot machine software engineer in Reno, NV is $111,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $126,600.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior software engineers, especially those with specialized skills in high-demand fields like artificial intelligence, cybersecurity, or cloud computing, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced certifications, and working in competitive industries or leadership roles.

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.

How much does a slot machine engineer make?

A slot machine software engineer typically earns between $70,000 and $120,000 annually, depending on experience, location, and employer. Skilled engineers with knowledge of gaming regulations and programming languages like C++ or Java tend to have higher salaries.

How much do gambling software engineers make?

Gambling software engineers, including those who develop slot machine software, typically earn between $70,000 and $120,000 annually, depending on experience, location, and company size. Senior engineers with specialized skills in programming languages like C++ or Java and knowledge of gaming regulations can earn higher salaries, often exceeding $130,000. Compensation may also include bonuses and benefits related to the gaming industry environment.

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.

How to become a slot machine tech?

A slot machine software engineer typically needs a background in computer science or electrical engineering, along with knowledge of gaming regulations and hardware systems. Gaining experience with programming languages such as C++ or Java, understanding of embedded systems, and familiarity with gaming industry standards are essential. Certifications or training in gaming technology can also improve job prospects.
What are popular job titles related to Slot Machine Software Engineer jobs in Reno, NV? For Slot Machine Software Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Slot Machine Software Engineer jobs in Reno, NV look for? The top searched job categories for Slot Machine Software Engineer jobs in Reno, NV are:
What cities near Reno, NV are hiring for Slot Machine Software Engineer jobs? Cities near Reno, NV with the most Slot Machine Software Engineer job openings:
Slot Machine Software Engineer jobs near you
Machine Learning Engineer- AI Data Platform (Reno, NV)

Machine Learning Engineer- AI Data Platform (Reno, NV)

MOBE

Reno, NV

$114K - $137K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

About the Organization
MOBE guides people to better health and more happiness. We help people discover connections between aspects of their lifestyle that affect health and well-being, including their medications and supplements. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we motivate people to transform their lives.
MOBE is a high-growth organization with a culture built on trust and collaboration and our team is our most significant asset. Supporting and empowering others is at the core of our service and is also the foundation of our culture. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups. Go to https://www.mobeforlife.com/DEI for more about diversity, equity, and inclusion at MOBE.
Description
Company Overview
MOBE helps people discover new ways to live healthier. We are the whole-person, cross-condition solution that goes further to deliver better health and lower overall costs through evidence-based individual health guidance and pharmacist-led medication management. We empower individuals to make meaningful changes that improve their health and overall well-being. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we uncover opportunities, overcome challenges, and motivate people to transform their lives.
At MOBE our team is our most significant asset. We cultivate a culture grounded in curiosity, innovation, and growth. We encourage new ideas, fresh solutions, and meaningful impact. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups.
Your role at MOBE
We are seeking a highly skilled AI Engineer to serve as a core builder of our AI Data Platform. This role sits at the intersection of machine learning engineering, data platform development, and business intelligence, with responsibility for designing and operating the infrastructure that powers AI-driven insights across the organization.
You will build intelligent data pipelines, production-grade ML systems, and AI-enabled features that translate complex data into actionable outcomes. This role is ideal for an engineer who enjoys working end-to-end from data ingestion and feature engineering to model deployment and downstream consumption in analytics and BI tools.
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Responsibilities:
  • Build AI-first data pipelines: Design, implement, and maintain scalable data pipelines that support model training, inference, and analytics use cases across the AI Data Platform.
  • Deploy production ML systems: Develop, deploy, and monitor machine learning models using AWS SageMaker, ensuring reliability, observability, and performance in production environments.
  • Implement Retrieval-Augmented Generation (RAG): Architect and maintain RAG-based systems that combine structured and unstructured data to power AI-driven insights and applications.
  • Operationalize ML lifecycle management: Use MLflow for experiment tracking, model versioning, and lifecycle management to support reproducibility and continuous improvement.
  • Design feature infrastructure: Build and manage feature stores (e.g., Feast, Tecton, or SageMaker Feature Store) to ensure consistent, reusable features across training and inference.
  • Orchestrate complex workflows: Create and manage Apache Airflow DAGs to orchestrate data transformations, model pipelines, and AI workflows with clear dependencies and monitoring.
  • Enable analytics consumption: Partner with BI and analytics teams to ensure ML outputs integrate cleanly with our internal BI reporting hub.
  • Translate business questions into AI solutions: Collaborate with stakeholders to convert ambiguous business problems into measurable ML- and data-driven solutions.
  • Uphold data quality and governance: Ensure AI pipelines and models adhere to data governance, security, and quality standards, particularly when handling sensitive data.
  • Collaborate cross-functionally: Work closely with Data Science, Analytics Engineering, Medical Economics, and DataOps to align AI platform capabilities with business priorities.
Position Requirements
Qualifications:
Required:
  • Five to Seven Years in the ML Engineering space.
  • Strong proficiency in Python and SQL for data processing, modeling, and pipeline development.
  • Hands-on experience building and deploying machine learning models in production, including monitoring and performance management.
  • Experience with AWS-based ML infrastructure, including SageMaker for training, deployment, and inference.
  • Practical experience designing or operating RAG systems that integrate LLMs with enterprise data sources.
  • Experience using MLflow (or equivalent) for experiment tracking, model registry, and lifecycle management.
  • Experience with Apache Airflow for orchestration of data and ML pipelines.
  • Strong foundation in data engineering concepts, including data modeling, versioning, and testing.
  • Ability to partner with Med Econ and BI teams to ensure ML outputs are interpretable, trusted, and consumable.
Preferred:
  • Experience with AWS Bedrock and/or Aider for LLM orchestration or AI-assisted development workflows.
  • Experience with dbt for transformation modeling, testing, and documentation.
  • Familiarity with feature store architectures (Feast, Tecton, SageMaker Feature Store).
  • Experience integrating ML outputs into BI tools such as Tableau, Looker, or QuickSight.
  • Experience with CI/CD pipelines, Git-based workflows, and infrastructure-as-code practices.
  • Exposure to healthcare or regulated data environments is a plus but not required.
Nice to Have:
  • Working knowledge of Docker and Kubernetes for scalable deployment of ML services.
  • Experience implementing data observability, model drift detection, or AI governance tooling.
  • Experience fine-tuning or adapting large language models for domain-specific use cases.
Values
  • People First. We show we care because we believe in the power of human connection
  • Spark Positivity. We each have the power to turn any challenge into something awesome.
  • Stay Curious. We relentlessly discover and embrace new ideas to keep moving forward.
Benefits and Compensation
We offer a comprehensive benefits package
  • Paid time off
  • Medical, dental, and vision insurance
  • Life and disability insurance
  • 401(k) with company match
  • Tuition reimbursement
  • Additional benefits available to eligible employees

The salary range for this position is $114,000-$130,000 based on experience and qualifications.
Full-Time/Part-Time
Full-Time
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Location
Nevada
This position is currently accepting applications.

Apply