Senior Software Chief Engineer: AI Strategy & Architecture

Kepler Communications Inc.; United States; Remote; USD 190,000 - 230,000; Full time

Benefits offered by this job

401(k)

Wellness allowance

Unlimited vacation

Parental leave

Holiday shutdown

Job summary

Kepler Communications is seeking a senior software leader to guide flight software, GNC, and ground systems at the cutting edge of space connectivity.

You will shape a coherent, reusable software architecture across programs, mentor engineers, and drive AI strategy adoption across engineering and the broader organization.

This role requires clear communication under uncertainty, building credibility, and strengthening program leads rather than overriding them.

Qualifications

• 15+ years of progressive software engineering experience with senior authority.
• Experience mentoring senior engineers and developing future leaders.
• Proven ability to lead across a 50+ engineer software organization.
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Ability to establish and execute an AI strategy across the organization.

Responsibilities

• Provide software technical leadership across flight software, built-in test, GNC software, and ground systems.
• Drive convergence toward a coherent, reusable software architecture across programs.
• Lead deep technical reviews, resolve cross-cutting issues, and ensure readiness at milestones.
• Lead through technical credibility and challenge assumptions constructively.
• Strengthen program leads and architects rather than override them.
• Communicate clearly and decisively, making sound decisions under uncertainty.

Skills

15+ years experience

Mentoring

Technical leadership

AI strategy

Education

Bachelor’s degree in Computer Science / Software Engineering

Job description

Kepler Communications is seeking a senior software leader to guide flight software, GNC, and ground systems at the cutting edge of space connectivity.

You will shape a coherent, reusable software architecture across programs, mentor engineers, and drive AI strategy adoption across engineering and the broader organization.

This role requires clear communication under uncertainty, building credibility, and strengthening program leads rather than overriding them.