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Ai Reliability Engineer Jobs in Reno, NV (NOW HIRING)

Software Engineer, Backend

Reno, NV ยท On-site

$155K - $222K/yr

Focus on increasing reliability, performance, scalability, testability, maintainability ... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ...

Senior Data Center Operations Engineer

Reno, NV ยท On-site

$105K - $143K/yr

About the Organization Colovore is the leader in ultra-high-density, liquid-cooled AI colocation ... Configure, monitor, and tune infrastructure systems to improve reliability and efficiency. * Mentor ...

On the move and on point. You'll be the frontline expert ensuring reliability, safety, and ... We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that ...

Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern ... Lead equipment upgrades, retrofits, and repairs with a focus on reliability, serviceability ...

Senior Mechanical Design Engineer

Reno, NV ยท On-site

$89K - $123K/yr

Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern ... Work with quality and reliability teams to meet performance, lifecycle, and safety targets.

Senior Staff Mechanical Design Engineer

Reno, NV ยท On-site

$89K - $123K/yr

Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern ... Work with quality and reliability teams to meet performance, lifecycle, and safety targets * Mentor ...

Endpoint Security Engineer

Reno, NV ยท On-site

$99K - $225K/yr

... reliability, and improved detection and response processes through refined logic, increased ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

New

Senior Data Center Electrical Engineer

Reno, NV ยท On-site

$107K - $139K/yr

... in AI, cloud and enterprise data center needs. Your work will directly impact the future of ... reliability in delivered services. * Build trust and relationships with different stakeholders (e.g ...

Showing results 21-40

Ai Reliability Engineer information

See Reno, NV salary details

$60.8K

$117.6K

$140.6K

How much do ai reliability engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai reliability engineer in Reno, NV is $117,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $128,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.
What are popular job titles related to Ai Reliability Engineer jobs in Reno, NV? For Ai Reliability Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Reno, NV look for? The top searched job categories for Ai Reliability Engineer jobs in Reno, NV are:
Infographic showing various Ai Reliability Engineer job openings in Reno, NV as of August 2026, with employment types broken down into 73% Full Time, 22% Part Time, 4% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $117,627 per year, or $56.6 per hour.

Senior Full Stack Engineer, Client Communications

Ridgeline

Reno, NV โ€ข On-site

Full-time

PTO

Re-posted 11 days ago


Job description

Are you excited to build seamless client-facing experiences that strengthen communication and collaboration between investment managers and their clients? Do you enjoy developing scalable fullstack applications that power messaging, notifications, reporting, and digital engagement workflows? Are you energized by solving complex engineering challenges while partnering closely with product, design, and client-facing teams to deliver polished user experiences? If so, we invite you to be a part of our innovative team.
As a senior engineer at Ridgeline, you'll help build and evolve the applications and services that power our Client Communications capabilities. You'll develop modern fullstack solutions that enable investment firms to deliver personalized communications, reporting, notifications, and digital experiences at scale. This role will focus on creating intuitive frontend experiences, scalable backend systems, and highly reliable integrations that improve transparency and engagement between firms and their clients. Our team of engineers are building with AI technologies-like Claude Code and ChatGPT-in a fast-moving, creative, progressive work environment. Our team aims to leave a legacy in an investment management industry primed for change, utilizing the latest AI and software development practices to revolutionize the field.
At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions-not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If the Ridgeline Way excites you, we'd love to meet you.
You must be work authorized in the United States without the need for employer sponsorship.
The impact you will have:
  • Develop modern, intuitive frontend experiences that simplify how investment firms interact with their clients
  • Build backend services and APIs that support messaging, reporting, notifications, and document delivery systems
  • Collaborate closely with product managers, designers, and client-facing stakeholders to deliver impactful solutions
  • Improve platform reliability, scalability, observability, and performance across Client Communication systems
  • Drive technical architecture decisions and contribute to engineering best practices across teams
  • Optimize engineering workflows using AI-assisted development tools and automation practices
  • Troubleshoot complex production issues and proactively identify opportunities for system improvements
  • Think creatively, own problems, seek solutions, and communicate clearly along the way
  • Contribute to a collaborative environment rooted in learning, teaching, and transparency

What we look for:
  • 5+ years of professional software engineering experience building and shipping production applications
  • Strong experience developing modern fullstack applications using technologies such as React, TypeScript, Java, Kotlin, Python, or similar
  • Experience building scalable APIs, backend services, and distributed systems
  • Familiarity with cloud-native architectures and modern SaaS application development
  • Experience creating polished, user-centric experiences with strong attention to usability and performance
  • Ability to work cross-functionally with product, design, and business stakeholders
  • Strong problem-solving skills and a high degree of ownership
  • Excellent written and verbal communication skills
  • Willingness to learn about cutting-edge technologies while cultivating expertise in a business domain/problem space
  • Ability to communicate effectively
  • Serious interest in having fun at work

Bonus:
  • Experience building communication platforms, messaging systems, or client engagement tools
  • Familiarity with fintech, investment management, or enterprise SaaS products
  • Experience with event-driven architectures, notification systems, or document generation workflows
  • Exposure to AI-assisted software development workflows and developer productivity tools

About Ridgeline
Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, the Bay Area, Dublin Ireland. Ridgeline is recognized by Fast Company as a "Best Workplace for Innovators," by Frost & Sullivan as a "Technology Innovation Leader," and by The Software Report as a "Top 100 Software Company.
Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.
Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions.
Compensation and Benefits
As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product.
In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.