Adaptive Optics Software Engineer — Real-Time Systems

W. M. Keck Observatory

Waimea/Kamuela (HI)

On-site

USD 109,000 - 132,000

Full time

14 days+
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Benefits offered by this job

Competitive starting salary
4 weeks of annual paid vacation
8% 403(b) employer contribution
Relocation assistance
Comprehensive health insurance

Job summary

W. M. Keck Observatory seeks an Adaptive Optics Software Engineer to design, develop, test, and maintain software powering the adaptive optics and related subsystems. You will collaborate with engineers and scientists to solve complex challenges and support world-class observing at the summit.

The role emphasizes real-time control systems, telemetry, and interfaces to telescope instruments, with opportunities to apply machine learning and sensor fusion techniques in an astronomical setting.

Qualifications

  • Mastery of software engineering principles and practices.
  • Experience with data analysis in Python, IDL, or MATLAB.
  • Experience developing real-time control software for engineering/scientific applications.

Responsibilities

  • Design, develop, test, and maintain software powering adaptive optics and related subsystems.
  • Collaborate with engineers and scientists to solve complex challenges and advance astronomical observing.
  • Implement and validate real‑time control and automation components and interfaces.

Skills

Software engineering
Data analysis
Python
IDL
MATLAB

Education

Bachelor of Science or equivalent in Computer Science/Engineering/Physics/Applied Mathematics

Tools

C/C++
Python
Unix/Linux
Shell scripting

Job description

W. M. Keck Observatory seeks an Adaptive Optics Software Engineer to design, develop, test, and maintain software powering the adaptive optics and related subsystems. You will collaborate with engineers and scientists to solve complex challenges and support world-class observing at the summit.

The role emphasizes real-time control systems, telemetry, and interfaces to telescope instruments, with opportunities to apply machine learning and sensor fusion techniques in an astronomical setting.

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