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Information Technology 🏢 Full Time ⭐️ Verified

Lead Engineer: Project 2026 - AI & Autonomous Systems

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are defining the future. Nexus Horizon Systems is seeking a visionary Lead Engineer to spearhead Project 2026, a high-impact initiative focused on the next generation of autonomous decision-making and ethical AI integration. You will be at the forefront of technological evolution, working on systems that will redefine industry standards.

Join us in building the infrastructure for tomorrow. You will collaborate with top-tier talent to solve the hardest engineering challenges of our time.

Responsibilities

  • Strategic Leadership: Define the technical roadmap and architectural vision for Project 2026, ensuring alignment with long-term business goals.
  • System Design: Design scalable, fault-tolerant distributed systems capable of processing real-time data streams at scale.
  • Technical Execution: Oversee the implementation of core algorithms and infrastructure, ensuring code quality and performance benchmarks are met.
  • Team Mentorship: Recruit, mentor, and cultivate a high-performing engineering team focused on innovation and excellence.
  • R&D Integration: Bridge the gap between theoretical research and practical application, deploying cutting-edge AI models into production environments.
  • Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex requirements into technical specifications.
  • Compliance & Ethics: Ensure all systems adhere to industry standards and ethical AI guidelines.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree or PhD is a plus.
  • Experience: 8+ years of software engineering experience, with at least 3 years in a leadership or senior architect role.
  • Technical Stack: Deep expertise in Python, C++, and cloud platforms (AWS/GCP/Azure). Experience with Kubernetes and microservices architecture.
  • AI/ML: Strong understanding of machine learning pipelines, neural networks, and large language models (LLMs).
  • Problem Solving: Proven track record of solving complex technical problems under pressure.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ AWS Kubernetes Microservices Machine Learning AI Architecture System Design Leadership

Ready to Take This Challenge?

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