Senior Edge AI Compute Engineer for Robotic Automation

Trener; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Trener Robotics in San Jose, CA seeks a Senior AI Compute Engineer to own the deployment of heavy AI workloads and real-time control on edge hardware. You will optimize software that extracts maximum performance from CPUs, GPUs, and FPGAs, collaborating with firmware, software, and deployment teams.

The role emphasizes building scalable compute platforms, ensuring real-time operation, and driving architectural decisions to bridge model performance with physical deployment.

Qualifications

• Proven experience with state-of-the-art algorithms used in autonomous systems or robotics.
• Experience deploying algorithms on embedded/edge devices beyond standard workstations.
• Deep understanding of hardware execution models to optimize compute.

Responsibilities

• Design software systems across multiple services to run Physical AI on edge hardware.
• Build, optimize, and test pipelines for deploying neural networks and vision models to edge devices.
• Deploy and accelerate deterministic robotics algorithms with real-time constraints.
• Set code quality standards and test strategies ensuring on-floor operability.

Skills

C++

Python

Embedded systems

Edge computing

Robotics

Hardware awareness

Tools

CUDA

TensorRT

Quartus

Vitis

Job description

Trener Robotics in San Jose, CA seeks a Senior AI Compute Engineer to own the deployment of heavy AI workloads and real-time control on edge hardware. You will optimize software that extracts maximum performance from CPUs, GPUs, and FPGAs, collaborating with firmware, software, and deployment teams.

The role emphasizes building scalable compute platforms, ensuring real-time operation, and driving architectural decisions to bridge model performance with physical deployment.