Job Description
Are you ready to architect the future of intelligent computing?
At 2026 Systems, we are not just building software; we are engineering the digital foundation for the next decade. As a pioneer in next-generation AI and quantum computing integration, we are seeking a visionary Senior AI & Quantum Systems Engineer to lead our R&D initiatives. If you thrive in a high-performance environment and are passionate about pushing the boundaries of what is possible in machine learning and distributed systems, we want to hear from you.
Join a team of world-class engineers dedicated to solving humanity's most complex challenges through advanced technology. You will be responsible for designing scalable neural architectures and optimizing quantum algorithms to power our proprietary platforms.
Why join 2026 Systems?
At 2026 Systems, we are not just building software; we are engineering the digital foundation for the next decade. As a pioneer in next-generation AI and quantum computing integration, we are seeking a visionary Senior AI & Quantum Systems Engineer to lead our R&D initiatives. If you thrive in a high-performance environment and are passionate about pushing the boundaries of what is possible in machine learning and distributed systems, we want to hear from you.
Join a team of world-class engineers dedicated to solving humanity's most complex challenges through advanced technology. You will be responsible for designing scalable neural architectures and optimizing quantum algorithms to power our proprietary platforms.
Why join 2026 Systems?
- Work on cutting-edge technology that defines the future.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium offices in San Francisco.
- Access to top-tier hardware and research facilities.
Responsibilities
- Design, develop, and deploy scalable AI and quantum machine learning models capable of handling exascale data.
- Lead architecture reviews for high-performance computing (HPC) systems and cloud infrastructure.
- Collaborate with cross-functional teams to integrate quantum algorithms into classical software stacks.
- Optimize neural network inference speeds and reduce latency in distributed environments.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
- Stay at the forefront of industry trends, including neuromorphic computing and edge AI.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related field with a focus on AI/Quantum.
- Minimum of 5+ years of professional experience in AI engineering, machine learning, or distributed systems.
- Proficiency in Python, C++, and CUDA programming.
- Deep understanding of TensorFlow, PyTorch, and quantum simulation libraries (e.g., Qiskit, Cirq).
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and ability to work in a fast-paced, agile environment.