DeepAware AI
Robots, parts & RL environments - delivered in 72 hrs or pickup in SF.
AI/ML Engineer
About the role
About the Role
DeepAware AI (YC S25) is building secure, efficient, and autonomous infrastructure for the AI era. As an AI/ML Engineer, you’ll design, build, and deploy machine learning models that power our next-generation Data Center Infrastructure Management (DCIM) platform. Your work will focus on reinforcement learning for intelligent workload scheduling, optimization algorithms for energy and cost savings, and anomaly detection to prevent downtime and enhance security.
You’ll be joining a fast-moving, technically ambitious team tackling some of the most complex real-world AI problems at the intersection of computing, energy, and robotics.
Responsibilities
- Develop and refine reinforcement learning models for GPU workload placement and power optimization
- Implement anomaly detection pipelines for real-time threat detection and failure alerts
- Collaborate with data engineers to ensure high-quality, production-ready datasets
- Benchmark models against industry baselines and integrate them into our production systems
- Contribute to overall architecture and deployment strategies for large-scale AI infrastructure
Requirements
- Strong background in machine learning; hands-on experience with reinforcement learning techniques
- Proficiency in Python and PyTorch or TensorFlow
- Experience with distributed training and deployment in production environments
- Familiarity with energy systems, scheduling algorithms, or operations research is a plus
- Ability to thrive in a startup environment — ownership mindset, adaptability, and collaborative spirit
Nice-to-Have
- Experience with NVIDIA CUDA/cuDNN, Triton Inference Server, or ROS2 for robotics integration
- Knowledge of data center operations or AI infrastructure optimization
Location:
San Francisco Bay Area preferred; remote considered for exceptional candidates
Why DeepAware?
You’ll be working on problems that directly impact the sustainability and reliability of the world’s AI infrastructure — with a team that values technical excellence, creativity, and impact.
About DeepAware AI
DeepAware (Silicon Valley Robotics Center) builds the full stack for physical AI — spanning hardware, data, and training.
We source and ship robots and robotics parts across the US within 72 hours: humanoid robots, quadrupeds, robotic arms, tactile sensors, cameras, and dexterous hands. Beyond hardware, we help enterprises collect teleoperation data, build reinforcement learning environments, and deploy robots into production.
Our early customers include AI data centers, industrial operations, research labs, and event producers. We're solving real problems at the intersection of AI, robotics, and supply chain — and we're moving fast.
If you're excited about building the physical automation layer for the AI era, and want to work across software, hardware, and real-world deployment — you'll fit right in at DeepAware.
