Research Engineer - High-Throughput RL & Inference

Harmonic; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO

401(k) matching

100% employer-paid health benefits

Job summary

Harmonic, located in Palo Alto, California, is seeking engineers for its reinforcement learning team. You will maintain and optimize the RL training and serving infrastructure, ensuring peak performance for model workloads.

The ideal candidate has a strong background in programming, experience with ML frameworks, and a focus on optimizing both distributed trainings and inference systems.

We offer benefits such as unlimited PTO, 401(k) matching, and comprehensive health coverage.

Qualifications

• 2+ years of hands-on industry experience.
• Experience building or maintaining ML components.
• Understanding of collective communication primitives.

Responsibilities

• Maintain and optimize RL training infrastructure.
• Maximize throughput of reinforcement learning systems.
• Optimize inference stack for low-latency production.

Skills

Proficiency in Python

Understanding of distributed training concepts

Proficiency in C++

Education

BS in Computer Science or related field

MS or PhD in Computer Science or related field

Tools

PyTorch

CUDA

TensorFlow

Job description

Harmonic, located in Palo Alto, California, is seeking engineers for its reinforcement learning team. You will maintain and optimize the RL training and serving infrastructure, ensuring peak performance for model workloads.

The ideal candidate has a strong background in programming, experience with ML frameworks, and a focus on optimizing both distributed trainings and inference systems.

We offer benefits such as unlimited PTO, 401(k) matching, and comprehensive health coverage.