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Ai Reliability Engineer Jobs in Wisconsin (NOW HIRING)

Foxconn WI

Reliability Engineer

Mount Pleasant, WI · On-site

$99K - $124K/yr

Reliability Engineer Department: GL6 Test & Reliability Engineering Employment Type: Full Time ... AI server and storage platforms. * Experience running ORT testing, including environmental ...

Foxconn WI

Reliability Engineer

Mount Pleasant, WI

The Reliability Engineer will perform reliability testing activities, configure test environments ... AI server and storage platforms. * Experience running ORT testing, including environmental ...

Paradigm

Site Reliability Engineer

Middleton, WI · On-site

$57.25 - $76/hr

... AI-powered innovation. We're seeking a Site Reliability Engineer to support the reliability ... scalability, and performance of our cloud platforms. This role blends software engineering and ...

New

FIS

Engineer Principal, Software (SRE)

Milwaukee, WI

$56.25 - $74.75/hr

Ability to implement AI models in Problem Solving and reduce MTTR. * Experience with relational ... Experience in Reliability and Performance Engineering and Tools. Soft Skills * Engineering Mindset ...

Foxconn WI

Reliability Manager

Mount Pleasant, WI · On-site

Experience required: * 5+ years of experience in reliability or test engineering roles, preferably with enterprise/AI server and storage platforms. * Experience running ORT testing, including use of ...

Sema4.ai

Staff Engineer, AI

Madison, WI · On-site

As a Staff Engineer on the AI team , you'll design, build, and extend Sema4.ai 's cognitive ... enterprise reliability requirements. You're fluent in current approaches used in AI systems ...

Impact Solutions LLC

DevOps Working Manager

Milwaukee, WI · Hybrid

$165K/yr

... , SRE, or Complex Build Systems EMBEDDED DEPTH: Verifiable, Hands-On Experience Navigating Low ... Operating as a global pioneer in industrial machine software and AI automation, this high-growth ...

Foxconn WI

Reliability Manager

Mount Pleasant, WI

Experience required: * 5+ years of experience in reliability or test engineering roles, preferably with enterprise/AI server and storage platforms. * Experience running ORT testing, including use of ...

Cliftonlarsonallen

Senior AI Engineer

Madison, WI · On-site

$105K - $144K/yr

The Senior AI Engineer will lead the design and implementation of production-grade AI solutions ... Ensure system reliability through testing, deployment standards, and incident readiness Technical ...

Cliftonlarsonallen

Senior AI Engineer

Racine, WI · On-site

$98K - $134K/yr

The Senior AI Engineer will lead the design and implementation of production-grade AI solutions ... Ensure system reliability through testing, deployment standards, and incident readiness Technical ...

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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 are AI Reliability Engineers?

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 Wisconsin? For Ai Reliability Engineer jobs in Wisconsin, the most frequently searched job titles are:
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Ai Reliability Engineer jobs near you

Reliability Engineer

Foxconn WI

Mount Pleasant, WI • On-site

$99K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Reliability Engineer
Department: GL6 Test & Reliability Engineering
Employment Type: Full Time
Location: SMC
Reporting To: Aaron Lemkau
Description
FII USA, Inc., a Foxconn Technology Group Company, is seeking a Reliability Test Engineer to design, implement, and execute reliability testing plans for enterprise-class server and storage systems. Once a part of the team, you will be responsible for a wide variety of tasks within the Operations Department in both lab and production-support environments, with opportunities to apply technical expertise and problem-solving skills to expand your career in Smart Manufacturing.
The Reliability Engineer will perform reliability testing activities, configure test environments, analyze results, and collaborate with cross-functional teams to drive improvements in product quality and reliability.
Responsibilities
  • Design and execute ORT plans for new and existing server and storage platforms, covering thermal cycling, power cycling, HTOL (high-temperature operating life), and burn-in conditions.
  • Configure and maintain test infrastructure for 24/7 system-level reliability testing, including server racks, power cycling systems, and stress diagnostic tools.
  • Set up and operate ORT equipment, including environmental chambers, burn-in rooms, and custom fixtures.
  • Collect and analyze large datasets from test conditions, applying statistical methods to identify early-life failure mechanisms.
  • Develop and maintain test scripts and procedures for environmental screening and stress testing.
  • Collaborate with design, validation, manufacturing, and quality teams to provide feedback on reliability issues and improvements based on ORT results.
  • Support root cause analysis (RCA) for reliability concerns and document corrective actions.
  • Generate detailed reports and presentations on ORT results, highlighting findings and recommendations.
  • Continuously improve ORT methodologies, test coverage, and automation processes to meet evolving server architectures and customer needs.
  • Ensure ESD-safe practices, lab safety, and adherence to all quality standards.
  • Other duties as assigned.

Qualifications
  • Bachelor's or Master's degree in Electrical, Mechanical, or Materials Engineering, Chemistry, or a related technical field required.
  • 3-5 years of experience in reliability, test engineering, or related field, preferably with enterprise/AI server and storage platforms.
  • Experience running ORT testing, including environmental temperature/humidity chambers and burn-in environments.
  • Experience in Metrology including CMM, Microscopy, Spectroscopy, and DPA Including cross section, Dye, Pull and Shadow Moire.
  • Strong understanding of server architecture (CPU, memory, power supplies, I/O, fans, storage).
  • Proficiency with environmental test equipment and methodologies.
  • Experience with scripting or automation tools (Python, Bash, LabVIEW, or similar).
  • Familiarity with data analysis tools (MATLAB, Excel, Power BI, or similar).
  • Strong problem-solving, organizational, and documentation skills.
  • Excellent written and verbal communication skills with the ability to present technical findings clearly.
  • Ability to work independently and collaborate effectively with cross-functional teams.
  • Must be able to sit at a workstation for extended periods and lift up to 40 lbs.

Reasons you should work for us:
  • Comprehensive benefits package including medical, dental, and vision insurance coverage.
  • Basic life insurance and short-term disability coverage provided by employer.
  • Supplemental life insurance and long-term disability coverage options available.
  • 401K with employer contribution.
  • Personal, Vacation, and Holiday paid time off for all full-time employees.
  • Onsite Aurora Health & Wellness Center available for all employees.
  • Employees are continuously encouraged to learn and grow their careers in smart manufacturing.

Apply