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.
We are looking for motivated Software Engineers to join our team building core middleware components and services for Applied's software-defined vehicle (SDV) platform. Whether you're an experienced engineer with deep systems knowledge or someone earlier in your career with strong fundamentals and a drive to learn, we want to hear from you.
You'll work on challenging problems in distributed systems, high-speed networking, and vehicle communication — building the foundational software layers that make advanced vehicle functions possible. Parts of this work touch the ADAS development stack, where data logging and recording play an important supporting role.
At Applied Intuition, you will:- Design and implement core platform services in C++, with a focus on multi-threading, concurrency, and performance.
- Develop and extend communication middleware using protocols such as SOME/IP or DDS across the platform.
- Work on system-level software within an SDV architecture, spanning functional areas such as Communication Management, Execution Management, State Management, Health Management, Diagnostics, and Logging.
- Apply knowledge of networking and the Ethernet stack to ensure reliable, high-throughput data exchange.
- Support data logging and recording workflows for sensor data used in ADAS development and validation.
- Solid C++ skills, including familiarity with multi-threading, concurrency patterns, and software design.
- 2+ years of software engineering experience — background in embedded, automotive, robotics, or distributed systems is a plus.
- Some exposure to communication middleware (e.g., SOME/IP, DDS, or similar), or a strong desire to build that expertise on the job.
- The initiative to take ownership of technical problems in a fast-paced environment.
- Experience with AUTOSAR Adaptive internals or specific functional clusters (e.g., Communication Management, Execution Management, Diagnostics, Health Management).
- Experience with embedded systems or C programming.
- Advanced IPC experience using Protobuf or gRPC.
- Strong familiarity with POSIX/Linux (system calls, runtime behavior, memory management).
- Experience in real-time or safety-critical distributed systems.
- Familiarity with data logging frameworks or recording infrastructure in an automotive or ADAS context.
- Prior customer-facing experience as a customer or application engineer.
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.
Skills Required
- Solid C++ skills, including familiarity with multi-threading, concurrency patterns, and software design.
- 2+ years of software engineering experience in embedded, automotive, robotics, or distributed systems.
- Exposure to communication middleware such as SOME/IP or DDS.
- Ability to own technical problems in a fast-paced environment.
Applied Intuition Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Intuition and has not been reviewed or approved by Applied Intuition.
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Healthcare Strength — Health, dental, and vision coverage are described as comprehensive with employee premiums fully covered. Feedback suggests additional wellness and mental‑health provisions reinforce the overall healthcare offering.
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Parental & Family Support — Paid parental leave of up to 12 weeks is offered for birth, adoption, or foster placement. Feedback suggests this policy provides meaningful support for families.
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Wellbeing & Lifestyle Benefits — Catered meals, snacks, expensed dinners, and fitness/learning stipends are part of the package. Feedback suggests these perks enhance day‑to‑day convenience and personal development.
Applied Intuition Insights
What We Do
As the foremost enabler of autonomous vehicle development, Applied Intuition equips engineering and product teams with software that makes it faster, safer, and easier to bring autonomy to market. Applied’s suite of products, focused on simulation and analytics, delivers sophisticated infrastructure built for scale. Companies of all sizes use Applied to comprehensively test and rapidly accelerate their autonomous vehicle development. Headquartered in Silicon Valley with offices in Detroit, Tokyo, and Munich, Applied is composed of software and automotive experts from the top companies in the world (such as Google, Amazon, Apple, Waymo, Tesla, Delphi, GM, and Bosch).
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