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Future Systems Architect (AI & Robotics)

TechNova Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

The Future is Now at TechNova Solutions. We are pioneering the next generation of intelligent systems designed to redefine human-machine interaction by 2026. As a Future Systems Architect, you will not just write code; you will architect the backbone of tomorrow's autonomous reality.

We are looking for a visionary engineer with a deep understanding of Artificial Intelligence, Machine Learning, and advanced robotics. If you are passionate about solving complex problems at the intersection of software and hardware and want to leave a legacy in the tech landscape, we want to meet you.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable, high-performance AI architectures for autonomous vehicles and smart environments.
  • Lead R&D Initiatives: Spearhead research projects focused on Generative AI and predictive modeling for the 2026 roadmap.
  • Optimize Neural Networks: Fine-tune deep learning models to ensure real-time decision-making capabilities in dynamic environments.
  • Collaborate with Cross-Functional Teams: Work closely with hardware engineers, data scientists, and product managers to integrate AI seamlessly into physical systems.
  • Ethical AI Compliance: Establish frameworks for ethical AI usage, ensuring fairness, transparency, and safety in automated systems.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Robotics, AI, or a related technical field.
  • Experience: 5+ years of experience in software engineering, specifically with AI/ML frameworks like TensorFlow, PyTorch, or Keras.
  • Technical Skills: Proficiency in Python, C++, and cloud infrastructure (AWS/Azure/GCP). Experience with edge computing and IoT.
  • Innovation Mindset: Demonstrated history of developing innovative solutions for complex technical challenges.
  • Communication: Exceptional ability to translate complex technical concepts into actionable insights for diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow Robotics Neural Networks System Architecture AWS C++ Edge Computing

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