Embedded ML Inference Performance Engineer

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

Benefits offered by this job

Health, dental, and vision insurance

401k retirement benefits with employer match

Learning and wellness stipends

Job summary

Applied Intuition in Sunnyvale, California, seeks a Software Engineer to optimize machine learning models for embedded systems. The role involves extensive experience in ML model optimization and embedded programming, targeting deployment on various compute platforms.

Ideal candidates possess a Bachelor's degree in relevant fields and at least 3 years of experience with machine learning accelerators. The position offers a range of $159,053 - $199,295 USD annually, alongside benefits like health coverage and 401k plans.

Qualifications

• Bachelor’s degree in Electrical Engineering or Computer Science.
• 3+ years of experience with ML accelerators and embedded programming.
• Strong software development skills applicable to embedded systems.

Responsibilities

• Optimize ML performance on various embedded compute platforms.
• Develop compute usage strategies for model inference efficiency.
• Collaborate with ML engineers to optimize model architecture.

Skills

ML model optimization

Embedded programming

Deep learning frameworks (PyTorch, JAX, ONNX)

Education

B.Sc. in Computer Science, Mathematics, or related field

Tools

GPU

CPU

SoC architecture

Job description

Applied Intuition in Sunnyvale, California, seeks a Software Engineer to optimize machine learning models for embedded systems. The role involves extensive experience in ML model optimization and embedded programming, targeting deployment on various compute platforms.

Ideal candidates possess a Bachelor's degree in relevant fields and at least 3 years of experience with machine learning accelerators. The position offers a range of $159,053 - $199,295 USD annually, alongside benefits like health coverage and 401k plans.