Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions 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 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. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!

Requirements

Must-haves

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
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-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Wellness