Machine Learning Systems Engineer
4 weeks ago
Reality Labs is seeking a highly skilled Machine Learning Systems Engineer to join our team. As a key member of our Silicon team, you will work closely with researchers and engineers to develop and optimize machine learning accelerator hardware-software verticals in state-of-the-art SoCs.
Key Responsibilities:
Collaborate with compiler, firmware, and system architects to enable new ML use cases.
Work with compiler and ML researchers to enhance machine learning acceleration capabilities.
Assist with performance/power analysis of machine learning models.
Develop software tooling/methodologies for SW enablement/optimization on ML accelerators.
Work with FPGA engineers and firmware teams to perform early prototyping.
Work with Post-Silicon Validation engineers to enable Silicon/form factor workload demonstrations.
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field.
5+ years of experience as a ML Systems Engineer or similar role.
Experience in hardware-software co-design and performance modeling.
Experience with machine learning models, algorithms, or accelerator architecture.
Familiarity with mobile SoC hardware architecture and system-level performance optimization.
Preferred Qualifications:
Experience building and shipping software that encompasses an end-to-end experience within a well-scoped domain.
Experience in SOC bring-up and prototyping.
Experience with machine learning, graphics, or computer vision accelerator.
Experience with mobile/wearable form factor devices and development environments (Android).
Master's degree in EE/CS or equivalent experience.
Compensation:
$173,000/year to $249,000/year + bonus + equity + benefits
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