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Ai Reliability Engineer Jobs in Nevada (NOW HIRING)

Amperesand

Hardware Reliability Engineer

Reno, NV · On-site

$115K - $160K/yr

Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern ... Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or Reliability ...

TensorWave

Senior Solutions Engineer

Las Vegas, NV · On-site

$52.75 - $68/hr

Who You Are Required Qualifications * 5-9 years in Infrastructure Engineering, Platform Engineering, or SRE , with a specific focus on high-performance computing or large-scale AI stacks. Proven ...

TensorWave

Senior Solutions Engineer

Las Vegas, NV · On-site +1

$52.75 - $68/hr

Who You Are Required Qualifications * 5-9 years in Infrastructure Engineering, Platform Engineering, or SRE , with a specific focus on high-performance computing or large-scale AI stacks. Proven ...

Pwc

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... reliability, and output groundedness - Optimizing open-weight language models, including LLaMA ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Sparks, NV · On-site

$106K - $146K/yr

Led efforts to improve model performance and reliability in production settings. * Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI ...

Deloitte

AI Engineer Consultant

Las Vegas, NV · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... reliability patterns). * 2+ years leading platform/integration engineering across enterprise ...

Kemper

SVP, Chief Technology Officer (CTO)

Las Vegas, NV · On-site +1

This includes enterprise cloud infrastructure, developer platforms, data platforms, AI platforms ... Site Reliability Engineering (SRE) * Enterprise observability and monitoring * Identity and shared ...

Panasonic

Sr. Engineer, Industrial AI and Analytics

Sparks, NV · On-site

$106K - $146K/yr

Responsibilities Sr. Engineer, Industrial AI and Analytics (by clicking this link you are being ... Develop evaluation frameworks to assess readiness, data quality, usability, security, reliability ...

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Ai Reliability Engineer information

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 Nevada? For Ai Reliability Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Nevada look for? The top searched job categories for Ai Reliability Engineer jobs in Nevada are:
What cities in Nevada are hiring for Ai Reliability Engineer jobs? Cities in Nevada with the most Ai Reliability Engineer job openings:
Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Nevada as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Hardware Reliability Engineer

Amperesand

Reno, NV • On-site

$115K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Company Overview
Amperesand is reinventing how the world powers its most critical systems.
We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources - including solar, gas, and batteries - at a massive scale.
And yet the power infrastructure behind our latest mega-projects hasn't meaningfully changed in nearly 100 years. Supply chains for today's infrastructure equipment can't match the pace and sophistication of critical energy projects. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.
We've built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that's now ready for commercial deployment.
Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow's most demanding energy consumers.
Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.
Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.
With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.
Join us in building the power foundation of the future!
Role Summary
In this role, you will drive end-to-end reliability for our Solid-State Transformer (SST) platform, from concept to field deployment. You will lead cross-functional teams to mitigate program risks via Failure Mode and Effects Analysis (DFMEA)/Fault Tree analysis (FTA) and set clear reliability benchmarks for supplier selection. By developing advanced Physics-of-failure (PoF) modeling and performing expert-level RCA, you will ensure our hardware meets the demanding lifetime required for modern energy infrastructure.
Responsibilities:
  • Assist in the setup and execution of reliability test plans for SST's (solid state transformer), including thermal mapping and accelerated life testing.
  • Utilize statistical methods to analyze test data, identifying trends in component or system-level failures.
  • Participate in DFMEA sessions, helping to document risks and track mitigation actions.
  • Perform initial root-cause analysis on failed components using lab equipment (microscopes, X-ray, etc.) and coordinate with senior engineers on complex investigations.
  • Assist in building reliability block diagrams and basic PoF models to predict product lifetime.
  • Work closely with the Design and Manufacturing teams to communicate test results and ensure reliability targets are met.
  • Maintain detailed records of test procedures, lab results, and reliability reports for key milestones.
  • Ability to travel occasionally to different facilities to support hardware deployment and testing.

Qualifications:
  • Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or Reliability Engineering.
  • Strong understanding of hardware reliability or circuit analysis.
  • Basic familiarity with reliability statistics (Weibull distribution, MTBF) and a desire to master advanced Bayesian and Monte Carlo methods.
  • Comfortable working in a high-voltage lab environment; experience with basic diagnostic tools (Oscilloscopes, Multimeters).
  • Interest in learning reliability tools such as ReliaSoft (Weibull++, ALTA) or simulation software like Ansys Sherlock.
  • Nice to have proficiency in Python, MATLAB, or R for data processing and automation.
  • Excellent written and verbal skills; ability to translate complex data into clear, actionable updates for the team.
  • A "first principles" thinker who is eager to learn and thrives in a fast-paced hardware startup environment.

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.
SF Pay Range
$115,000-$160,000 USD
Pay Disclosure & Benefits
Compensation will be determined based on experience, location, and other factors permitted by law.
The benefits outlined below apply exclusively to employees located in the United States.
  • Competitive Salary + Incentive Stock Options
  • Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • 401k retirement savings plan through Empower
  • Employees receive paid time off (PTO), paid sick days, and paid company holidays
  • Commuter Benefits
  • 100% paid maternal leave (12 weeks) and paternal leave (6 weeks)

Singapore-based employees receive benefits in accordance with local government provisions.
Equal Employment Opportunity
Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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