About DeepAware AI

Robots, parts & RL environments - delivered in 72 hrs or pickup in SF.

Tech description:

DeepAware (Silicon Valley Robotics Center) operates across three layers of the robotics stack: **Hardware supply chain.** We source robots and parts from leading global manufacturers (Unitree, Deep Robotics, Paxini, Intel Realsense, OpenArm, and more) and run a fast-turn inventory and logistics operation — getting any SKU into US customers' hands within 72 hours. **Data and training.** We build teleoperation data collection pipelines, simulation environments in Isaac Gym / MuJoCo, and reinforcement learning policies for manipulation and locomotion. Much of this lives at the sim-to-real boundary, which is where most of the hard engineering is. **Deployment.** We integrate robots into real-world environments — AI data centers (cable management, inspection, thermal monitoring), industrial floors (quality inspection, material handling), and live events (interactive humanoid demos with scripted interaction flows). Our stack includes Python, ROS2, PyTorch, Isaac Sim/Lab, custom teleoperation rigs, and integrations with inventory/logistics systems. We're a small, fast-moving team that ships.

Job description:

**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.

DeepAware AI remote jobs

Robotics Engineer

Business Development Manager

AI/ML Engineer