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Experience Level
Manager
Qualifications
Core ResponsibilitiesDesigning GPU-based compute systems and distributed architecturesEstablishing and optimizing ML/AI training environmentsDeveloping cluster scheduling and resource managementIntegrating hybrid cloud (AWS / Azure / GCP) and on-premise systemsImplementing Kubernetes-based orchestration and infrastructure automationCreating system-level tooling and internal services (Python / Go / Rust)Collaborating closely with ML engineers and researchersProviding technical guidance and mentoring to the engineering teamQualifications8+ years of experience in distributed systems, infrastructure, or HPC environmentsDeep expertise in GPU compute (CUDA, multi-GPU systems)Proficient in Kubernetes and cloud platforms (AWS/Azure/GCP)Experience in infrastructure automation (Terraform, Ansible)Strong programming background (Python, Go, Rust, or similar)System-level thinking and performance optimization experienceLeadership experience (technical lead / mentoring / design reviews)Preferred QualificationsFamiliarity with ML platforms or large-scale model training infrastructureExperience in service mesh or zero-trust architecturesBackground in research or AI-related environments
About the job
Lead Server Engineer (AI / GPU Infrastructure)
Join a pioneering technology company at the forefront of innovation, specializing in groundbreaking 3D and imaging solutions powered by artificial intelligence and high-performance computing capabilities. Our ambition is to build a next-generation platform that facilitates the training and execution of complex ML/AI models on scalable, GPU-based infrastructure.
In this role, you will be instrumental in designing and managing our entire compute infrastructure, ranging from GPU clusters to distributed systems and hybrid cloud architectures. Your expertise will not only influence operations but also define the system architecture, scalability, and performance.
About mpsolutions
mpsolutions is a cutting-edge technology firm dedicated to developing innovative solutions that leverage AI and GPU technology to revolutionize 3D imaging and computational tasks.
This freelance Optical Engineer and AI Trainer position with toloka-ai is fully remote within Hungary. Mindrift connects professionals to project-based AI assignments for leading tech companies. Work is organized on a project-by-project basis and does not constitute permanent employment. Role overview This role centers on testing, evaluating, and improving A…
We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities for top-tier tech corporations, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.Opportunity OverviewEach project entails specific tasks, and contributors may be responsible for:Creating original optics-related problems that mimic authentic physics research workflows;Ensuring that these problems are computationally demanding and cannot be resolved manually within reasonable timeframes (days/weeks);Designing challenges that necessitate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical applications within the fields of optics and physics;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis opportunity is particularly suited for optical engineers seeking part-time, non-permanent engagements. Applicants should ideally possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;A minimum of 2 years of professional experience, whether in applied research or teaching;Proficiency in numerical simulation methods;The capability to design problems that reflect real physics research workflows;Innovative thinking in problem design across a variety of physics domains;Familiarity with physics modeling and approximation techniques;Strong written communication skills in English (C1+ level).Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject CommitmentFor this project, tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $45 per hour, contingent on their skill level and contribution pace. Compensation may vary based on the project's scope, complexity, and required expertise. Please note that other projects on our platform may offer different compensation structures.
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