AI Research Engineer - Robotics

Responsibilities

• Deploy deep learning models on edge devices and in the cloud for real-time inference
• Fine-tune models on proprietary datasets and manage dataset versioning, labeling, and evaluation
• Write high-quality C++ or Rust code for deterministic, low-latency execution
• Build cloud pipelines that process millions of images and video streams in near real time
• Perform model surgery in PyTorch and TensorRT, including pruning, quantization, and graph optimization
• Optimize GPU utilization, memory footprint, and inference throughput
• Build and maintain middleware for real-time IPC between perception, planning, and control systems
• Profile production systems to diagnose memory, compute, and concurrency bottlenecks
• Design rigorous evaluation loops to measure model accuracy, latency, and robustness in field conditions

Requirements

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field
• 3+ years of experience building robotics, perception, or real-time systems (startup or high-performance production environments strongly preferred)
• Experience deploying neural networks under strict latency constraints where milliseconds matter
• Deep understanding of GPU memory management, batching strategies, and compute optimization
• Strong debugging skills using profilers and low-level performance tools
• Solid experience with PyTorch; experience with TensorRT and ONNX is highly desirable
• Deep expertise in C++ preferred; strong Rust or Python experience also welcome
• Experience building production systems that must be reliable, observable, and fault-tolerant
• Experience with vLLM, SGLang, or high-performance LLM inference engines is a plus
• Experience deploying multimodal models or LLMs in robotics contexts is a plus
• Experience with distributed systems, structured logging, and observability at scale is a plus
• Familiarity with distributed pubsub, real-time Linux, or embedded GPU platforms is a plus
• Experience working with NVIDIA Jetson, CUDA kernels, or custom accelerators is a plus

Skills

• Resilient in challenging and fast-paced environments
• Exceptional written and verbal communication skills in English, with the ability to influence at all levels
• Able to work in an onsite environment

What We Offer

• 100% employer-paid medical, dental, vision, and base life insurance
• Flexible paid time off and 10 paid holidays
• 401(k) with both Traditional and Roth options
• Early-stage equity in a rapidly growing company
• Referral bonuses
• Daily team breakfast and dinner, and regular team off-sites
• Free onsite EV charging
• The latest Apple products and unlimited tech stack (Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, etc.)
• Direct exposure to our AI-native GTM machinery