Senior AI Compute Engineer

Trener Robotics is building intelligent robotic systems for industrial automation through its Acteris platform, which combines natural-language AI agents with robotic control. The Senior AI Compute Engineer will own the compute software stack for deploying and optimizing complex AI models and real-time robotics algorithms across heterogeneous edge hardware, while coordinating with cross-functional teams and external compute-platform partners.

Responsibilities:

• Design software systems spanning multiple services to run Physical AI processes across heterogeneous architectures (CPU, GPU, NPU, FPGA)
• Build, optimize, and test software pipelines for deploying neural networks, large language models (LLMs), vision transformers, VLMs, and VLAs directly to edge devices
• Deploy and accelerate deterministic robotics algorithms, ensuring they meet strict real-time execution constraints alongside machine learning workloads
• Set code quality standards for the team and design test strategies for entire features, ensuring that your definition of "done" means it works on the floor, not just in CI
• Drive alignment across cross-functional teams by proactively coordinating handoffs across roles (e.g., firmware, software, deployment) instead of waiting to be looped in
• Plan across projects with clarity and confidence, breaking large initiatives into independently shippable increments and flagging schedule risk early
• Push back on requirements that seem technically infeasible and run scoped spikes to de-risk hard problems rather than just flagging concerns