Manager, Engineering - Hardware Acceleration (CUDA)

Torc Robotics(1 month ago)

HybridFull TimeManager$185,192 - $240,276 (estimated)Engineering

About this role

The Engineering Manager will lead Torc's Hardware Acceleration team, shaping the technical roadmap for model optimization and embedded ML inference on NVIDIA-based platforms while growing a high-performing engineering organization. This role balances deep technical oversight of inference pipelines and CUDA/TensorRT work with people leadership responsibilities including hiring, coaching, and setting team goals in a safety-critical automotive environment. The manager will collaborate cross-functionally to integrate optimized models into Torc's real-time autonomy platform.

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Required Skills

Model Conversion
TensorRT
CUDA
CUDA Kernels
Embedded Inference
Model Optimization
C++
PyTorch
ONNX
Linux

+9 more

Qualifications

Master's Degree in Computer Science, Electrical Engineering, or Related Field

About Torc Robotics

torc.ai

Torc Robotics is an autonomous-vehicle leader (since 2007) commercializing self‑driving trucks for safe, sustained long‑haul freight operations. The company develops and integrates autonomous driving technology to bring reliable, production‑scale solutions to the trucking industry. Torc emphasizes safety and real‑world validation as it works to “drive the future of freight.”