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Senior/Staff AI Research Engineer – Real-Time Inference

roboforce • United States
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AI Summary

RoboForce is hiring a Senior/Staff AI Research Engineer to make embodied AI practical on the edge for its industrial robots. The role drives the full stack of model optimization, from CUDA kernel engineering to quantization and compression, for real-time inference on edge hardware. Candidates need a Master's with 4+ years or a PhD, deep CUDA/GPU expertise, and hands-on model quantization and edge deployment experience.

Key Highlights
Drive full-stack model optimization from CUDA kernels to quantization for edge deployment
Target real-time inference on NVIDIA Jetson and similar edge platforms
Requires Master's + 4 years or PhD, deep CUDA/GPU expertise, C++/Python
5 days/week in-office; visa sponsorship available
Salary $185,000–$325,000 USD plus bonus and equity

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Key Responsibilities
Develop and optimize inference pipelines for embodied AI models (VLA, perception, world models) targeting real-time execution on edge hardware such as NVIDIA Jetson platforms
Implement CUDA-level optimizations including custom kernels, memory layout tuning, and hardware-aware graph compilation to minimize model latency
Apply and advance model compression techniques — quantization (INT8/FP16/INT4), pruning, distillation, and structured sparsity — to achieve production-grade throughput on constrained devices
Profile and debug end-to-end inference stacks using tools such as NSight, TensorRT, and Triton to identify and eliminate performance bottlenecks
Collaborate with ML research and robotics teams to co-design model architectures that meet real-time control-loop latency requirements
Establish benchmarking frameworks to evaluate model performance across latency, throughput, power consumption, and accuracy tradeoffs on target hardware
Technical Skills Required
CUDA TensorRT C++

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Benefits & Perks
Competitive stock options/equity programs
Health, dental, and vision insurance, 401(k) plan
Visa sponsorship and green card support for qualified candidates
Lunches and dinners, a fully stocked kitchen, and regular team-building events

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Nice to Have
Familiarity with embodied AI models — VLA, multimodal transformers, or diffusion-based policies — and their inference characteristics
Familiarity with compiler-based optimization pipelines such as XLA, torch.compile, or MLIR for graph-level model acceleration
Understanding of robotics system constraints such as control-loop timing, sensor fusion latency, and memory bandwidth limits on edge SoCs
Publication or production work in efficient deep learning or on-device ML systems

Job Description

Why RoboForce

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

We are looking for a Senior / Staff AI Research Engineer, Real-Time Inference to make embodied AI practical on the edge. In this role, you will drive the full stack of model optimization — from CUDA kernel engineering to quantization and compression — to deploy high-performance AI models on edge compute platforms powering RoboForce robots in the field.

Responsibilities

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Job Overview
Posted Nov 06, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Machine Learning
Company roboforce
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