The role:As an AI Research Engineer, you will focus primarily on deploying high-performance vision and multimodal models onto robotic platforms where latency, reliability, and hardware constraints matter.
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
Skills and qualifications:- 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
- Resilient in challenging and fast-paced environments
- Exceptional written and verbal communication skills in English, with the ability to influence at all levels
- Ability 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
