Skip to main content

Astranis

Network Planning Sales Engineer Intern (Fall 2026)

San FranciscointernAdded 1 month ago

About this role

As a Network Planning Sales Engineer Intern at Astranis, you'll tackle complex challenges in optimizing satellite networks. This role balances technical expertise with customer-facing responsibilities, offering mentorship and the chance to make a meaningful impact.

What you'll do

  • Optimize high throughput satellite networks
  • Configure digital payloads and select orbital slots
  • Define user coverage areas and optimize antenna systems
  • Select gateway locations and user terminals
  • Choose and configure networking/modem equipment
  • Collaborate in pre-sales and post-sales processes

What they're looking for

  • System optimization
  • Process-oriented thinking
  • Python scripting
  • Ability to handle fast-paced environments
  • Strong presentation skills
  • Mathematical ability
  • Customer interaction
  • Willingness to travel (< 10%)

Benefits

  • Hourly pay of $29
  • Mentorship from experienced engineers
  • Hands-on experience with advanced satellite technology
  • Opportunities for future employment
  • Diverse and inclusive workplace
  • Challenging and meaningful projects
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Astranis

Astranis builds high-throughput satellite communications systems and spacecraft hardware designed to operate reliably in space environments. The company is hiring for technical roles including network planning engineers, radiation effects specialists, PCB layout engineers, and environmental test engineers to support satellite development and customer network architecture.

View all jobs at Astranis

Likely interview questions

  • Walk us through how you would approach optimizing a satellite network by balancing multiple competing parameters like orbital slot, frequency planning, and gateway location.
  • Tell us about a time you had to juggle many variables to solve a complex problem. How did you ensure you considered all options?