Software Engineer - Performance Optimization

About Applied Intuition

Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the definitive ADAS/AD product toolchain and a world-class vehicle platform to help customers shorten time to market, build industry-leading products, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Munich, Stockholm, Seoul, and Tokyo. Learn more at https://appliedintuition.com.

About the role

We are looking for a Software Engineer with deep experience in optimizing the application-layer software for embedded systems. In this role, you will work across multiple components of an autonomous driving software stack deployed on embedded compute platforms. You will be responsible for fitting a complex software stack into tight compute budgets while maintaining algorithmic performance, analyzing runtime behavior, and ensuring efficient concurrent execution of multiple applications.

At Applied Intuition, you will:

• Analyze runtime performance of the application layer and identify potential resource contentions

• Optimize compute usage to fit within embedded platform constraints without sacrificing algorithm accuracy or latency

• Profile and tune performance on embedded targets under real-world operating conditions

• Collaborate closely with ML runtime optimization engineers to ensure smooth model inference execution within the stack

• Proactively design for contention avoidance and thread safety through code reviews and software architecture reviews; propose single threaded lock-free approaches where appropriate

• Deploy and validate production code on QNX, Linux-based embedded, or similar RTOS platforms

• Contribute to improving system-wide runtime, latency, and performance monitoring tools

We're looking for someone who has:

• Bachelors or Masters in Electrical Engineering or Computer Science or a related field

• 5+ years of experience in software development 

• Strong C++ development skills with a focus on runtime performance

• Experience profiling CPU, GPU, and memory usage performance on constrained compute 

• Proven ability to debug complex runtime issues and resolve onboard resource contention

Nice to have:

• Exposure to ML models and runtime frameworks (PyTorch, ONNX, TensorRT)

• Experience with memory-constrained deployments and concurrent scheduling

• Prior experience with autonomous driving software stacks

• Scripting experience for performance profiling and automation

Autonomy is one of the leading technological advances of this century that will come to impact our lives. The work you’ll do at Applied will meaningfully accelerate the efforts of the top autonomy teams in the world. At Applied, you will have a unique perspective on the development of cutting edge technology while working with major players across the industry and the globe.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.