Principal Space Systems Engineer

EduRankAI; Kolkata District; In loco; INR 900.000 - 1.600.000; Tempo pieno

Descrizione del lavoro

EduRankAI in Kolkata invites a senior role focusing on division D14: Aerospace, Space & Extreme Environment Engineering. You will model aerospace systems, simulate extreme environments, and drive design architectures while judging maturity and requirements across projects.

The position emphasizes resolving hard, open problems and setting technical standards. Strong programming in Python/C++/MATLAB and deep space environment knowledge are essential.

Competenze

• Model aerospace systems against budgets (mass, power, thermal, reliability).
• Develop materials concepts for extreme environments.
• Simulate extreme environments and note unmodeled effects.
• Design system architectures with honest requirement flow-down.
• Report maturity of every deliverable in aerospace terminology.
• Tackle the department's hardest open problems.
• Set and defend the technical standard used by others.
• Represent the department's scientific position externally.

Mansioni

• Model aerospace and space systems against mass, power, thermal and reliability budgets.
• Develop materials concepts for environments that cannot be reproduced cheaply on the ground.
• Simulate extreme environments and state unmodeled effects.
• Design system architectures and carry requirement flow-down honestly.
• Support long-horizon space research while framing it as research.
• Report maturity of every deliverable in aerospace terminology.
• Tackle the department's hardest open problems.
• Set the technical standard used for others' work, and defend it.
• Represent the department's scientific position externally.

Conoscenze

Orbital mechanics

Engineering analysis

Space environment knowledge

Python for mission and systems 분석

Strumenti

Python

C++

MATLAB

Descrizione del lavoro

The division's technical direction and its hardest system-level problems.

Department of Extreme-Scale, Nano & Fundamental Engineering, Division D14: Aerospace, Space & Extreme Environment Engineering. This division models aerospace systems, develops materials concepts for extreme environments, simulates conditions that cannot be reproduced on the ground, and designs system architectures. Its modelling range extends far beyond anything it builds, and it says so. This position: The division's technical direction and its hardest system-level problems. Scale range for this work: 10^3 m to 10^13 m. Research classification: Simulation. Building and running simulations of systems too large or too strongly coupled to solve directly. Evidential standing: Computational research. Computed from established physics. A computed number is a prediction, and it is only as good as its convergence, its error budget, and whatever data it can be checked against. Modelling a system is not building one. This division models orbital and planetary systems out to 10^13 m and beyond, and it has flown nothing. Every piece of work states its maturity plainly: analysis, design, ground prototype, or qualified hardware. Space infrastructure concepts are described as concepts. Scale bands are a research classification, not a claim of experimental reach. Most of this span cannot be probed by any apparatus that exists: nothing below about 10^-19 m has been measured directly, and anything at 10^26 m or beyond is inferred from observation rather than engineered. Every opportunity states the kind of work it actually is. Level 7 (Principal). Technical direction across divisions, and the hardest open problems the department holds.

Responsibilities

• Model aerospace and space systems against mass, power, thermal and reliability budgets.
• Develop materials concepts for environments that cannot be reproduced cheaply on the ground.
• Simulate extreme environments and state which effects the simulation does not capture.
• Design system architectures and carry the requirement flow-down honestly.
• Support long-horizon space research while describing it as research rather than capability.
• Report the maturity of every deliverable in the words the aerospace field uses.
• Take on the hardest open problems the department holds, including the ones that may not resolve.
• Set the technical standard that other people's work is measured against, and defend it.
• Represent the department's scientific position accurately outside it.

Skills

• Orbital mechanics: can propagate a two-body orbit and explain what perturbs it.
• Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other.
• Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware.
• Python for mission and systems analysis.
• States the maturity of every piece of work: analysed, designed, prototyped, or qualified.
• Python
• C++
• MATLAB or an equivalent