Embedded Software Engineer - Performance Optimization

About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. We are an in‑office company, and our expectation is that 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. (Note: For EpiSci job openings, fully remote work will be considered by exception.) 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. Responsibilities 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 Qualifications 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. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the location listed is: $199,295-$264,500 USD annually. 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. Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case‑by‑case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external‑facing roles that involve close contact with Company employees or other third parties on the Company’s premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position. 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. #J-18808-Ljbffr Decisive Point