Software Integration Engineer, Self-Driving
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Key skills for this role
Role Overview
The Autonomy Integration team bridges Applied Intuition’s autonomy software with real vehicles, owning compute, networking, sensors, actuation, embedded execution, and platform automation across passenger and industrial vehicles. The team works across 0-to-1 bring-up and 1-to-many scalable deployment, with hands-on vehicle and test-track work and ~10% travel.
At Applied Intuition, you will:
Platform integration, end to end - Lead the integration of autonomy software onto new vehicle platforms, from system architecture and interface definition through first engaged drive and handoff
System architecture - Design the on-vehicle compute topology, network segmentation, power and data paths, and the interfaces between autonomy compute, safety controllers, and vehicle ECUs
Actuation and sensing - Build and validate the drive-by-wire interface, whether from an OEM network specification or by integrating a third-party system, and bring up the sensor suite (lidar, radar, camera) including drivers, time sync, and calibration
Compute and real-time execution - Own the Linux software baseline and configuration management that make a vehicle reproducible, and port control software to real-time embedded targets where the platform requires it
Validation and scale - Build bench setups, on-vehicle test procedures, and automation that catch regressions early and let the team grow the fleet without growing the headcount to match
Technical leadership - Debug across the full software-to-actuator boundary, set direction on which interfaces and tools become standard, mentor engineers, and own the documentation and specs that other teams integrate against
We're looking for someone who has:
5+ years of experience integrating software and hardware onto vehicles, robots, or other physical systems with real actuators and sensors
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mechatronics, or a related field
Strong C or C++, plus working Python, with experience writing and debugging code that runs on Linux and talks to hardware
Hands-on experience with automotive networks (CAN, CAN-FD, automotive Ethernet) and the tooling around them
Working knowledge of Linux systems and networking: building or maintaining machine images, configuring network interfaces, and automating setup with configuration management tools
Demonstrated ownership of at least one full platform integration from architecture and interface definition through on-vehicle validation and handoff
Comfort working on vehicles and test benches
Track record of driving integration problems to closure across team boundaries
A willingness to participate in on-vehicle and test-track testing
Nice to have:
System architecture and networking: compute and network topology design for vehicles, VLAN and switch configuration, PTP/gPTP and time-sync debugging, DDS or similar middleware
Drive-by-wire and control: building DBW interfaces from OEM network specs, integrating third-party DBW systems, motion control, vehicle dynamics
Sensors: lidar, radar, and camera bring-up, SerDes camera pipelines, calibration, GNSS/INS and IMU integration
Embedded and real-time: RTOS on automotive-grade MCUs, timing analysis, safety-oriented embedded C or C++
Platform and automation: Yocto, Ubuntu image customization, Ansible or equivalent at fleet scale, CI for on-vehicle software
Domain: functional safety practice (ISO 26262 or similar) or working within a safety case; heavy or off-highway vehicles
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!
Key Skills for This Role
Full Job Posting
About the role
The Autonomy Integration team bridges Applied Intuition’s autonomy software with real vehicles, owning compute, networking, sensors, actuation, embedded execution, and platform automation across passenger and industrial vehicles. The team works across 0-to-1 bring-up and 1-to-many scalable deployment, with hands-on vehicle and test-track work and ~10% travel.
At Applied Intuition, you will:
Platform integration, end to end - Lead the integration of autonomy software onto new vehicle platforms, from system architecture and interface definition through first engaged drive and handoff
System architecture - Design the on-vehicle compute topology, network segmentation, power and data paths, and the interfaces between autonomy compute, safety controllers, and vehicle ECUs
Actuation and sensing - Build and validate the drive-by-wire interface, whether from an OEM network specification or by integrating a third-party system, and bring up the sensor suite (lidar, radar, camera) including drivers, time sync, and calibration
Compute and real-time execution - Own the Linux software baseline and configuration management that make a vehicle reproducible, and port control software to real-time embedded targets where the platform requires it
Validation and scale - Build bench setups, on-vehicle test procedures, and automation that catch regressions early and let the team grow the fleet without growing the headcount to match
Technical leadership - Debug across the full software-to-actuator boundary, set direction on which interfaces and tools become standard, mentor engineers, and own the documentation and specs that other teams integrate against
We're looking for someone who has:
5+ years of experience integrating software and hardware onto vehicles, robots, or other physical systems with real actuators and sensors
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mechatronics, or a related field
Strong C or C++, plus working Python, with experience writing and debugging code that runs on Linux and talks to hardware
Hands-on experience with automotive networks (CAN, CAN-FD, automotive Ethernet) and the tooling around them
Working knowledge of Linux systems and networking: building or maintaining machine images, configuring network interfaces, and automating setup with configuration management tools
Demonstrated ownership of at least one full platform integration from architecture and interface definition through on-vehicle validation and handoff
Comfort working on vehicles and test benches
Track record of driving integration problems to closure across team boundaries
A willingness to participate in on-vehicle and test-track testing
Nice to have:
System architecture and networking: compute and network topology design for vehicles, VLAN and switch configuration, PTP/gPTP and time-sync debugging, DDS or similar middleware
Drive-by-wire and control: building DBW interfaces from OEM network specs, integrating third-party DBW systems, motion control, vehicle dynamics
Sensors: lidar, radar, and camera bring-up, SerDes camera pipelines, calibration, GNSS/INS and IMU integration
Embedded and real-time: RTOS on automotive-grade MCUs, timing analysis, safety-oriented embedded C or C++
Platform and automation: Yocto, Ubuntu image customization, Ansible or equivalent at fleet scale, CI for on-vehicle software
Domain: functional safety practice (ISO 26262 or similar) or working within a safety case; heavy or off-highway vehicles
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!
About Applied
Applied Intuition develops simulation, validation, and development tools for autonomous vehicles and advanced driver-assistance systems used by leading automotive and trucking companies.
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