Deep Learning Performance Architect


Palo Alto, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/26/2021
  • Website:
  • Company Address: 420 Florence Street, Palo Alto, CA, 94301

About Tensyr

Tensyr is building production frameworks that bridge from R&D to mass-market deployment for autonomous vehicles.

Job Description

The Compute Accelerator team is responsible for fast and efficient execution of deep learning inference, computer vision, and other compute intensive workloads on next generation autonomous vehicles. You’ll be solving difficult problems that have immediate and valuable real-world applications. 

In this role you will:

● Design, develop, and ship high-performance software on-vehicle including the execution platform for inference, vision and other sensor processing modules

● Implement systems for high-throughput deep-learning based computations on modern SoC, GPU or FPGA compute platforms

● Ensure correctness, performance and reliability of the system

● Influence the product roadmap, and take ownership and responsibility over new projects to make them happen

Experience with the following is highly valuable:

● 3+ years of software experience in Unix / Linux, preferably in a high performance environment

● Solid C and/or C++ expertise for performance sensitive parallel code

● Experience with accelerator programming models such as CUDA or OpenCL

● Prior hands-on experience using GPU, FPGA or other accelerators to offload computational workloads

● Understanding of high-performance in-memory data structures, ownership transfer mechanisms and RDMA offloading

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.