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Networking Engineer & Cloud Based (Python Development)

Guires Solutions Private Limited
Remote

Quick apply

Job details

Part-time | Contractual / Temporary | Freelance
From ₹10,000 a month

Benefits

Work from home
Flexible schedule

Qualifications

Azure
Doctoral degree
Computer Science
NumPy
Research
Master's degree
Pandas
AWS
Analysis skills
Machine learning
Distributed systems
Computer networking
Cloud computing
Employee evaluation
Python

Full job description

The purpose of this role is to support the design, implementation, and evaluation of a measurement-informed, network-aware static placement framework (Static NOVA) for geo-localized multi-cloud GPU training. The researcher will assist in collecting real-world cloud network measurements, developing analytical cost and feasibility models, implementing optimization logic, and supporting simulation-based evaluation for a systems research study.

Master’s degree or PhD (completed or pursuing) in Computer Science Engineering,Information Technology, Networking / Distributed Systems.
Minimum 2+ years of Experience

Strong academic or applied background in networking research

Python (NumPy, Pandas, Matplotlib)

Networking tools: iperf3, ping, traceroute

Optimization tools or libraries (ILP solvers, OR-Tools, PuLP)

Cloud platforms (at least one of AWS, GCP, Azure)

Prior experience with systems research, cloud computing, or network performance evaluation

Experience conducting measurement-based experiments (e.g., benchmarking, performance profiling)

Familiarity with distributed systems concepts (latency, bandwidth, synchronization, throughput)

Experience working on simulation or analytical modeling projects

Prior publication experience (conference or journal) is a plus

Strong understanding of:

Network latency vs bandwidth trade-offs

Cloud pricing models (compute and network egress pricing)

Distributed machine learning communication patterns

Ability to:

Translate real-world measurements into analytical models

Design cost and feasibility constraints

Implement static optimization logic

Strong analytical and problem-solving skills

Ability to document methodology clearly for academic use

The freelance researcher will be responsible for the following tasks:

Network Measurement
Measure inter-provider bandwidth and latency
Organize results into structured matrices for analysis
Pricing & Resource Data Collection
Collect GPU pricing and network egress pricing from cloud providers
Document provider-specific constraints and assumptions
Analytical Modelling
Assist in modelling distributed training communication traffic
Develop feasibility constraints based on bandwidth and synchronization limits
Support compute and network cost modelling
Static Placement Framework Implementation
Implement a static, network-aware GPU placement optimizer
Integrate feasibility constraints into the optimization logic
Simulation & Evaluation
Run simulation scenarios across varying model sizes, GPU counts, and pricing conditions
Compare Static NOVA against baseline placement strategies
Generate plots and summaries of results
Research Documentation
Maintain clean, reproducible code and experiment documentation
Assist in preparing figures, tables, and methodology descriptions for a research paper

Contact Detail : 95661 33822

Job Types: Part-time, Freelance

Pay: From ₹10,000.00 per month

Benefits:

Flexible schedule
Work from home

Work Location: Remote

Quick apply

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academic research jobs in remote

Networking Engineer & Cloud Based (Python Development)

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