Job Description
Are you ready to shape the technological landscape of 2026? Apex Systems is pioneering the next generation of autonomous intelligence and is seeking a visionary AI/Robotics Engineer to join our elite R&D division. We are building the systems that will define the future of human-machine interaction, and we need a technical expert to lead the charge.
Why Join Us?
At Apex Systems, we don't just predict the future; we build it. You will work in a state-of-the-art facility in San Francisco, collaborating with top-tier researchers and engineers to deploy cutting-edge neural networks and robotic control systems. If you are passionate about pushing the boundaries of what is possible, this is your opportunity to leave a lasting legacy.
What You'll Do:
We are looking for a problem solver who thrives in high-pressure environments. Your role will be pivotal in our roadmap leading up to 2026.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable deep learning models and robotic control algorithms for autonomous navigation and decision-making.
- Lead the 2026 Roadmap: Define technical milestones and deliverables to ensure our AI systems meet the rigorous standards of the next decade.
- Optimize Neural Networks: Fine-tune model architectures for real-time performance, low latency, and high energy efficiency.
- Collaborate Across Disciplines: Work closely with hardware engineers and product managers to integrate AI software into physical robotic platforms.
- Ensure Ethical AI: Develop and implement safeguards to ensure AI behavior aligns with safety and ethical guidelines.
- Mentor Junior Talent: Guide a team of junior developers and interns, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Robotics, Electrical Engineering, or a related field. (PhD preferred for senior roles).
- Core Skills: Proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or ROS (Robot Operating System).
- Experience: Minimum of 5+ years of experience in AI, machine learning, or robotics development.
- Technical Depth: Strong understanding of linear algebra, calculus, and statistical modeling.
- Hardware Knowledge: Experience with embedded systems, sensor fusion (Lidar, Radar, Camera), and hardware-software integration.
- Problem Solving: Exceptional ability to debug complex systems and troubleshoot hardware-software integration issues.