Analog-Aware AI Systems Engineer for Hardware-Integrated ML

Latent AI; Palo Alto (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Latent AI in Palo Alto is looking for an experienced AI Engineer to optimize software pipelines for neural network deployments on specialized hardware. You'll design algorithms and contribute to network accuracy while improving the software through best engineering practices. A Bachelor's degree in Computer Science or a related field and at least 5 years of relevant experience are required. Knowledge of PyTorch and ONNX is essential, along with strong communication skills.

Qualifications

• 5+ years of software experience in a production environment.
• Experience working on complex problems with algorithm-heavy code.
• Commitment to quality and engineering excellence.

Responsibilities

• Optimize Mythic’s analog-aware software toolchain for network accuracy, latency, and ease-of-use.
• Design algorithms and tools for Mythic’s neural network conversion pipeline.
• Contribute to silicon bring-up, debugging, and validation.

Skills

Software pipeline development

Neural network optimization

Algorithm design

Communication skills

Education

Bachelor's degree in Computer Science, Mathematics, or related field

Tools

PyTorch

ONNX

Job description

Latent AI in Palo Alto is looking for an experienced AI Engineer to optimize software pipelines for neural network deployments on specialized hardware. You'll design algorithms and contribute to network accuracy while improving the software through best engineering practices. A Bachelor's degree in Computer Science or a related field and at least 5 years of relevant experience are required. Knowledge of PyTorch and ONNX is essential, along with strong communication skills.