Job Description
We are a cutting-edge technology firm dedicated to pioneering the advancements that will define the year 2026 and beyond. As we scale our R&D efforts into the next generation of autonomous systems and generative AI, we are seeking a visionary Senior AI & Robotics Architect to lead our technical direction.
In this role, you won't just write code; you will architect the brain of our future products. You will bridge the gap between theoretical AI research and scalable, real-world robotics applications, ensuring our solutions are robust, ethical, and transformative.
Why Join Us?
- Future-Ready Technology: Work on the bleeding edge of AI, Spatial Computing, and Autonomous Navigation.
- Competitive Compensation: $180k - $250k base salary plus equity.
- Remote-First Culture: Collaborate with top-tier talent from around the globe.
Responsibilities
- Lead System Architecture: Design and implement scalable AI architectures for next-gen robotics platforms, ensuring high availability and low latency.
- R&D Leadership: Spearhead research initiatives focusing on Generative AI, Large Language Models (LLMs), and reinforcement learning for autonomous decision-making.
- Model Optimization: Optimize neural networks for edge devices and cloud environments, pushing performance boundaries for 2026 standards.
- Cross-Functional Collaboration: Partner with product managers and hardware engineers to translate technical requirements into robust software solutions.
- Talent Development: Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
- Experience: 5+ years of professional experience in AI/ML, with at least 2 years in a lead or architect role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Domain Knowledge: Proven experience with LLM fine-tuning, NLP pipelines, or robotic control systems.
- Problem Solving: Strong analytical skills with a track record of solving complex, ambiguous technical challenges.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.