Embedded ML Inference Optimization Engineer

Decisive Point; Sunnyvale (CA); On-site; USD 159,053 - 199,295; Full time

Benefits offered by this job

Health insurance

401k retirement benefits

Paid time off

Learning and wellness stipends

Job summary

Decisive Point is seeking a Software Engineer in Sunnyvale, California, with expertise in optimizing machine learning models for embedded systems. This role involves performance optimization for embedded compute platforms, collaborating with ML engineers, and requires strong software development skills.

The ideal candidate has a Bachelor’s degree and at least 3 years of experience in ML accelerators and deep learning frameworks such as PyTorch and JAX. The position offers a competitive salary and comprehensive benefits.

Qualifications

• 3+ years of experience with ML accelerators, GPU, and SoC architecture.
• Strong software development skills focused on embedded systems.
• Experience profiling and optimizing model performance.

Responsibilities

• Drive ML performance optimization for ADAS/AD stacks.
• Develop strategies to optimize model inference efficiency.
• Collaborate on technical efforts with ML engineers.

Skills

Machine Learning optimization

Embedded programming

Deep learning frameworks

Computer Science

Education

Bachelor's in Electrical Engineering or Computer Science

Tools

PyTorch

JAX

ONNX

CUDA

TensorRT

Job description

Decisive Point is seeking a Software Engineer in Sunnyvale, California, with expertise in optimizing machine learning models for embedded systems. This role involves performance optimization for embedded compute platforms, collaborating with ML engineers, and requires strong software development skills.

The ideal candidate has a Bachelor’s degree and at least 3 years of experience in ML accelerators and deep learning frameworks such as PyTorch and JAX. The position offers a competitive salary and comprehensive benefits.