TL;DR

Compute Workload Specialist (Software Engineering): Developing and optimizing compute workloads for autonomous vehicles with an accent on performance analysis and optimization. Focus on collaborating with hardware teams and ensuring efficient use of next-generation compute platforms.

Location: Onsite in Mountain View, California, or New York City, New York

Salary: $204,000—$259,000 USD

Company

%hirify_global% is an autonomous driving technology company focused on building the %hirify_global% Driver to improve access to mobility.

What you will do

Identify important compute workloads for autonomous vehicles and understand their performance characteristics
Develop and maintain tests and tools for numerical correctness, becoming the main expert on ML numerics
Implement optimizations in compute workloads for the current and next-generation hardware/software stack
Build benchmarks and reduced workload applications to prototype and stress test the next-generation hardware/software stack
Collaborate with the broader software organization to ensure optimal and efficient use of next-generation compute platforms
Interact with hardware teams to provide key results and insights over the next-generation hardware design and decision making

Requirements

MS degree in Computer Science or Computer Engineering
Proficiency in C++
In-depth knowledge of compute architecture, compiler, and operating system
A minimum of five years of professional or research experience in performance analysis and optimization

Nice to have

GPGPU/accelerator programming
Knowledge of ML algorithms and their numerical properties
Experience with software engineering in edge computing especially in autonomous vehicle