Cybotic System

Cybotic System is an AI-powered solutions company offering a range of business services to give clients a competitive edge by combining artificial intelligence and human skills. They are strategically located globally to provide localized experiences. Their core offerings include recruitment, custom development, remote accounting services, and virtual assistant services. Cybotic System emphasizes the use of AI in all its services to optimize delivery, with internally designed AI applications that boost productivity and generate savings for clients. They also highlight their team of professional and seasoned recruiters who understand client needs and manage the entire recruitment journey from sourcing to onboarding. Their technology-based recruitment approach uses AI to automate tasks like resume screening and candidate sourcing, accelerating the process and ensuring accuracy. They serve various industries including Accounting, Engineering, Information Technology, Manufacturing, Healthcare, BSFI, Retail, Technology, Hospitality, and Pharmaceutical.

AICustom DevelopmentOutsourcingRecruitmentRemote AccountingRPOStaffingVirtual Assistantcyboticsystem.com

Cybotic System

AICustom DevelopmentOutsourcingRecruitmentRemote AccountingRPOStaffingVirtual Assistantcyboticsystem.com

HQAustin, US

Team Size48

Open Jobs70

Total Funding-

Latest FundraiseUnknown

Join the Team

Power Architect (AI Data Center)

On-SiteFremont, CA, US

On-Site • Fremont, CA, US

Job Summary:

The Power Architect is responsible for developing and defining the overall architecture for power connectors, power whips, and liquid-cooled busbar systems within AI servers and racks, ensuring compliance with performance, reliability, and scalability requirements. The architect will ensure designs adhere to relevant industry standards and regulations, including electrical safety and thermal management. Additionally, the role involves collaborating with cross-functional teams, including Sales, PLM (Product Lifecycle Management), and R&D, to create product roadmaps and architectures, and promote them to customers. Staying updated on technological advancements and emerging trends in power systems, the architect will apply insights to optimize designs. Participation in industry organizations such as OCP (Open Compute Project) and OIF (Optical Internetworking Forum) will be required to drive business opportunities and customer partnerships.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

AI Researcher

InternshipRotterdam, NL

Internship • Rotterdam, NL

Machine Learning Engineer

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Mobile Developer

Full-timeNovi Sad, RS

Full-time • Novi Sad, RS

Backend Developer

Full-timeBelgrade, RS

Full-time • Belgrade, RS

Machine Learning Engineer

Full-timeCambridge, GB

Full-time • Cambridge, GB

Backend Developer

ContractTel Aviv

Contract • Tel Aviv

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Cybotic System

AICustom DevelopmentOutsourcingRecruitmentRemote AccountingRPOStaffingVirtual Assistantcyboticsystem.com

Cybotic System

AICustom DevelopmentOutsourcingRecruitmentRemote AccountingRPOStaffingVirtual Assistantcyboticsystem.com

HQAustin, US

Team Size48

Open Jobs70

Total Funding-

Latest FundraiseUnknown

Join the Team

Power Architect (AI Data Center)

On-SiteFremont, CA, US

On-Site • Fremont, CA, US

Job Summary:

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

AI Researcher

InternshipRotterdam, NL

Internship • Rotterdam, NL

Machine Learning Engineer

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Mobile Developer

Full-timeNovi Sad, RS

Full-time • Novi Sad, RS

Backend Developer

Full-timeBelgrade, RS

Full-time • Belgrade, RS

Machine Learning Engineer

Full-timeCambridge, GB

Full-time • Cambridge, GB

Backend Developer

ContractTel Aviv

Contract • Tel Aviv

Design & Optimization: Architect power distribution systems (connectors, cables, busbars, whips) for AI servers, ensuring scalability, reliability, and thermal efficiency. Focus on high-current applications (e.g., 130–3,000A) and alignment precision (±1.00mm) to prevent damage in dense GPU/TPU environments.
Power Estimation and Modeling: Build and maintain accurate power estimation models and tools for AI server and rack-level systems. Conduct performance versus power analyses, support early architectural exploration, and collaborate with hardware/software teams to improve Perf/Watt metrics and total cost of ownership for next-generation AI platforms
Compliance & Standards: Ensure designs meet IEC 61439, IEEE, and safety regulations, including seismic and thermal management requirements (e.g., -40°C to +125°C operating range).
Cross-Functional Collaboration: Partner with sales, PLM, and R&D to align product roadmaps with AI infrastructure demands (e.g., NVIDIA GPU power needs) and customer requirements.
Innovation & Trends: Integrate emerging technologies like liquid-cooled busbars, low-GWP cooling, and advanced materials (high-conductivity copper alloys) to enhance power density and efficiency.
Industry Engagement: Represent the organization in consortia like OCP, OIF, and IEEE to drive standardization and partnerships, leveraging reference architectures for rapid deployment.

Minimum: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Power Systems, or related field.
Preferred: Master’s/PhD in Power Mechanics, Thermal Engineering, or Applied Physics
10–15 years in power architecture for high-density systems (100kW-1MW/rack), including AI/ML infrastructure.
Expertise in power connector/busbar design (e.g., liquid-cooled, solder-tail, screw-mount), high-current systems (up to 3,000A), and thermal management such as liquid-cooling for AI workloads.
Proficiency in IEC/IEEE standards, CAD tools, and system-level validation (e.g., 25kA short-circuit rating).
Experience collaborating with OEMs, chip vendors (NVIDIA, AMD, Intel), and data center operators to optimize AI server and rack power delivery.
Strong communication skills to bridge technical teams and business stakeholders.
Knowledge of dynamic workload management (e.g., BBU/powershelf).
Familiarity with AI reference architectures (e.g., NVIDIA designs supporting 132 kW/rack).