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Remote Ran Optimization Engineer Jobs in Minnesota

Principal Power Systems Engineer

Medina, MN · On-site +1

$127K - $158K/yr

Work directly with customers and remote engineering team members to understand requirements and ... control, and optimization. * Applies extensive technical expertise and has a higher level of ...

IT Systems Engineer

Eagan, MN · On-site +1

$80K - $110K/yr

... optimization, and compliance. Additionally, this role supports ImageTrend's various customer ... Perform remote site updates for self-hosted clients and assist customers with Site-to-Site VPN ...

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Implement and enforce security, compliance, and cost optimization best practices across AWS ...

Civil Engineer

Eden Prairie, MN · On-site +1

$75K - $110K/yr

Eden Prairie, MN | Hybrid | Remote Schedule: Full-Time Salary: $75,000 - $110,000 (based on ... cut/fill optimization. * Design stormwater management systems including culverts, basins, and ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Optimize report performance through query optimization, data model refinement, and DAX tuning

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Remote Ran Optimization Engineer information

What is the difference between Remote Ran Optimization Engineer vs Radio Network Optimization Engineer?

AspectRemote Ran Optimization EngineerRadio Network Optimization Engineer
CredentialsTypically requires a degree in telecommunications, certifications like Nokia, Ericsson, or vendor-specific trainingSimilar credentials, often with certifications in radio network design and optimization
Work EnvironmentPrimarily remote, collaborating with teams across locations, using remote toolsUsually onsite or hybrid, with field visits for testing and adjustments
Industry UsageCommon in telecom providers, network vendors, and remote service providersUsed in telecom companies, network operators, and infrastructure firms

Both roles focus on optimizing radio networks, but the Remote Ran Optimization Engineer emphasizes remote work and virtual collaboration, while the Radio Network Optimization Engineer may involve more onsite activities. Both require similar technical skills and certifications, with the main difference being the work environment.

What are the most commonly searched types of Ran Optimization Engineer jobs in Minnesota? The most popular types of Ran Optimization Engineer jobs in Minnesota are:
What are popular job titles related to Remote Ran Optimization Engineer jobs in Minnesota? For Remote Ran Optimization Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Ran Optimization Engineer jobs in Minnesota look for? The top searched job categories for Remote Ran Optimization Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Ran Optimization Engineer jobs? Cities in Minnesota with the most Remote Ran Optimization Engineer job openings:
Senior Software Engineer - AI Platform Engineering

Senior Software Engineer - AI Platform Engineering

Expleo

Rochester, MN • On-site, Remote

$75 - $85/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Overview

Location: Remote (U.S.-Based)

Employment Type: Contract

Are you ready to shape the future of AI infrastructure? Trissential is partnering with an innovative client to find a Senior Software Engineer who thrives at the intersection of large-scale distributed systems and cutting-edge AI. This is your opportunity to build the backbone of next-generation AI platforms-where models, agents, and real-time intelligence come together at scale.

What's in It for You?

  • High-Impact Work - Build the core runtimes powering AI models and autonomous agents across hybrid cloud environments
  • Cutting-Edge Tech Stack - Work with Kubernetes, LLMs, RAG architectures, and modern AI/ML pipelines
  • Platform Ownership - Design and influence scalable infrastructure and runtime architecture
  • Collaboration Culture - Partner with product, architecture, and data teams to accelerate AI innovation
  • Growth Opportunity - Mentor engineers and lead initiatives that shape future platform capabilities

Your Role & Responsibilities

  • Design and build scalable back-end services supporting AI-driven, data-centric applications
  • Architect high-performance runtimes for machine learning models and autonomous agents
  • Develop and manage hybrid-cloud infrastructure (AWS, Azure, GCP) with a multi-tenant design approach
  • Implement observability frameworks (logging, metrics, tracing) to ensure system reliability and performance
  • Lead and participate in DevOps, CI/CD, and Agile development processes
  • Collaborate with product managers, architects, and engineers to translate complex requirements into robust solutions
  • Conduct root cause analysis and troubleshoot complex distributed systems
  • Mentor junior engineers and contribute to cross-functional engineering excellence initiatives
  • Optimize inference workloads and implement scalable architectures such as RAG pipelines
  • Ensure adherence to coding standards, documentation, and best practices across the SDLC

 

Skills & Experience You Should Possess

  • 5+ years of software engineering experience building scalable back-end systems
  • Strong programming experience in Python, Go, Java, or similar high-level languages
  • Hands-on expertise with Kubernetes (4+ years preferred) and container orchestration
  • Experience developing cloud-native applications in hybrid environments (AWS, Azure, GCP)
  • Solid understanding of AI/ML lifecycle, including LLM operations and inference optimization
  • Proven experience with distributed systems, scalability, and high-availability architectures
  • Strong knowledge of DevOps practices, CI/CD pipelines, and Agile methodologies
  • Experience implementing observability solutions (logs, metrics, tracing)
  • Excellent problem-solving, communication, and time management skills

Bonus Points If You Have:

  • Experience with RAG architectures and agent-based AI systems
  • Background in healthcare or regulated industry software development
  • Familiarity with data warehousing, big data systems, and analytics platforms
  • Knowledge of business intelligence tools and modern data ecosystems
  • Experience working with open-source technologies in large-scale environments

Education & Certifications You Need:

  • Bachelor's Degree in Computer Science, Engineering, or related field (required)
  • Master's Degree in a related field (preferred) Certifications in cloud platforms (AWS, Azure, GCP) are a plus

What We Offer

At Trissential, we prioritize innovation, growth, and collaboration. By joining our client's team, you'll work on transformative AI initiatives while being supported by a forward-thinking environment.

  • Competitive Compensation - $75-$85 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off - Offers paid time away from work
  • Remote Flexibility - Work from anywhere within the U.S
  • Career Development - Access to training, certifications, and leadership opportunities
  • Innovative Work Environment - Build cutting-edge AI solutions alongside industry experts

Please Note: This role is only open to candidates authorized to work in the United States

Ready to be part of something exciting?

If you're passionate about building scalable AI platforms and want to work on transformative technology that impacts real-world outcomes, this is your opportunity. Apply today and help drive the future of AI with Trissential!

Employment Type: OTHER