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Strategic 2026 Technology Lead: AI & Aerospace Integration

Orbital Dynamics Corp
Seattle
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Strategic 2026 Technology Lead to architect the future of aerospace intelligence. At Orbital Dynamics Corp, we are not just building satellites; we are building the neural networks that will govern autonomous navigation by 2026. This is a rare opportunity to work at the intersection of Artificial General Intelligence (AGI) and aerospace engineering.

In this role, you will define the technical roadmap that ensures our systems remain at the cutting edge of the 2026 technological landscape. You will lead a team of elite engineers tasked with solving complex, high-stakes problems in real-time data processing and predictive modeling.

Why Join Us?

  • Work on mission-critical technology that shapes the future of global logistics and defense.
  • Competitive compensation package including equity options.
  • Flexible work environment with a focus on innovation and autonomy.

Responsibilities

  • Architect Next-Gen Systems: Design scalable, fault-tolerant AI architectures capable of processing petabytes of orbital telemetry data in real-time.
  • 2026 Roadmap Execution: Lead the strategic planning and implementation of the 2026 product release cycle, integrating emerging quantum computing protocols.
  • AI Model Optimization: Oversee the training and fine-tuning of proprietary machine learning models for autonomous decision-making in low-latency environments.
  • Cross-Functional Leadership: Collaborate with aerospace engineers and data scientists to bridge the gap between theoretical AI capabilities and physical system integration.
  • Security & Compliance: Ensure all 2026 systems adhere to the highest security standards, implementing zero-trust architectures.

Qualifications

  • Education: Master’s or PhD in Computer Science, Aerospace Engineering, or a related technical field.
  • Experience: Minimum of 7 years of experience in systems architecture, with a specific focus on AI/ML deployment in high-stakes environments.
  • Technical Skills: Proficiency in Python, Rust, and cloud-native technologies (AWS/GCP). Experience with quantum algorithms is a strong plus.
  • Strategic Vision: Demonstrated ability to forecast technological trends and translate them into actionable engineering roadmaps.
  • Leadership: Proven track record of leading high-performance engineering teams in a fast-paced startup or R&D environment.

Required Skills

Artificial Intelligence Machine Learning Systems Architecture Aerospace Engineering Python Rust Quantum Computing Cloud Infrastructure Strategic Planning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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