Software Engineer, C++ (Onboard Platform)
Join Applied Intuition as a Software Engineer to build Level 4 autonomous technology for vehicles on public roads.
Posted by employer 3 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
What you'll build
- Design the runtime architecture of the onboard stack
- Trace on-road failures from application symptom to root cause
- Make a real-time system faster and more predictable
- Decide how the platform detects and escalates faults
- Build measurement systems for stack performance
Must have
- Bachelor's in Computer Science, Computer Engineering, or related field
- 4+ years of experience shipping complex software in C++14 and above
- Strong system design and engineering fundamentals
- Experience leading the design of a system
- Working knowledge of operating system internals
- Experience debugging problems across application code, OS, and hardware
Nice to have
- Experience developing onboard application software in autonomy, ADAS, or robotics
- Experience with real-time systems, an RTOS, or QNX
- Experience with robotics middleware or shared-memory communication
- Experience with profiling and tracing tools
- Experience with vehicle hardware and networks such as CAN
- Professional experience with Python
Practical constraints
- In-office work expected 5 days a week
Requirements
- Experience
- 4+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Software Engineer focuses on developing the foundational platform for Level 4 autonomous vehicles, ensuring reliability and safety during driverless operations. Key skills include proficiency in C++ and a strong understanding of system design, operating systems, and real-time systems. This position is ideal for experienced engineers with a background in complex software development, particularly those familiar with autonomy or robotics. The team collaborates closely across various engineering disciplines to advance the company's autonomous technology.
Joblaze insights
Quick facts
- Is the Software Engineer, C++ (Onboard Platform) role remote?
- No — this is an on-site role in Sunnyvale, California, United States.
- How much experience is required?
- At least 4 years of relevant experience for this Software Engineer, C++ (Onboard Platform) role.
- Where is the role based?
- Applied Intuition is hiring for this position in Sunnyvale, California, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, C++, DDS, Python, QNX, ROS 2.
- What seniority level is this role?
- Applied Intuition targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, C++ (Onboard Platform) role at Applied Intuition.
From the original posting
About the role
Applied Intuition is building Level 4 autonomous technology for vehicles deployed around the world. The reliability of the L4 system is a key element for our autonomy program, and a must-have to safely enable driverless operations on public roads. In the rare case where the system has a hardware or software problem, it needs to be able to detect it and safely bring the vehicle to a safe state if that happens. To achieve this level of reliability and safety, every component of the stack needs to be built to meet the highest quality bar, and that is especially true for the platform layer at the base of the entire system.
Our team builds the foundation of the Level 4 stack, starting with autonomous trucks. We sit between the autonomy algorithms and the vehicle, and we work with every team in the program to take the fleet from supervised testing to driverless operation. Your work will run on real trucks on public roads, and it will be measured by how far the fleet drives between failures.
At Applied Intuition, you will:
Shape how Level 4 autonomy and physical AI reach the real world, with software that runs on vehicles on public roads.
Design the runtime architecture of the onboard stack: how processes are scheduled, how they communicate, and how the system degrades when a component fails.
Combine state-of-the-art AI and classical modules to meet the high performance and high reliability requirements
Trace on-road failures from an application symptom to its root cause in the kernel, the hardware, or the middleware, and fix it.
Make a real-time system faster and more predictable on production compute, and prove it with measurements.
Decide how the platform detects and escalates faults, up to commanding the truck to pull over safely.
Build the measurement systems that tell the whole program whether the stack is getting faster and more reliable.
Bring the Applied Intuition self-driving stack up on new compute platforms and new vehicles.
Work alongside some of the strongest engineers in autonomy across perception, planning, controls, hardware, and safety, and set broad, cross-functional technical direction with them.
We're looking for someone who has:
Bachelor's in Computer Science, Computer Engineering, or related field.
4+ years of experience shipping complex software in C++14 and above.
Strong system design and engineering fundamentals.
Experience leading the design of a system, from design document through production.
Working knowledge of operating system internals, such as scheduling, memory management, threading, and inter-process communication.
Experience debugging problems that cross the boundary between application code, the operating system, and hardware.
Nice to have:
Experience developing onboard application software, in autonomy, ADAS, or robotics.
Experience with real-time systems, an RTOS, or QNX.
Experience with robotics middleware or shared-memory communication, such as ROS 2 or DDS.
Experience with profiling and tracing tools.
Experience with vehicle hardware and networks such as CAN.
Experience mentoring software engineers.
Professional experience with Python.
Standard company text repeated across Applied Intuition's postings is omitted here.