Analyze ML models to identify and resolve performance bottlenecks.
Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models.
Deliver solutions to streamline model deployment across various hardware platforms.
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
Develop and train computer vision and deep learning models for road‑lane detection using monocular and multimodal sensor data.
Build 3D road surface and lane geometry models in BEV space and integrate them into Torc’s autonomy pipeline.
Analyze model performance, identify corner cases, and improve robustness under diverse environmental and long‑tail conditions.
Torc Robotics focuses on developing autonomous driving technology, particularly for trucking applications. They aim to create safe and reliable autonomous systems. The company fosters collaboration between expert teams to push the boundaries of autonomous vehicle capabilities.
Evaluate and select GPU computing technologies and frameworks.
Design and implement the GPU computing layer within our desktop software stack.
Port mesh processing algorithms and optimize components from CPU implementations to GPU.
Velo3D enables on-demand manufacturing of production quality metal parts with design freedom and quality control. They are an award-winning solution company that believes in transparency and recognizing exceptional efforts, with some company benefits including healthcare coverage and 401(K) employer contributions.