Drive root-cause investigations that span hardware, firmware, OS, middleware, and application software, and see them through to durable fixes.
Design and evolve Hardware-in-the-Loop, Software-in-the-Loop, and on-vehicle validation environments so they faithfully represent production trucks and catch issues before the field.
Architect automation frameworks, diagnostic tooling, and integration processes that other engineers adopt, and define system-level test strategies for new platform variants.
Represent integration in cross-functional design reviews, using lab and field evidence to influence hardware and software architecture decisions and to surface systemic risks.
Mentor junior and mid-level engineers, and author the bring-up procedures, troubleshooting guides, and reference documentation that become the team's standard.
What You'll Need to Succeed
Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, Robotics, or a related field; Master's preferred.
5+ years of experience integrating hardware and software systems, with demonstrated ownership of complex, multi-disciplinary integration efforts.
Hands-on experience bringing up embedded Linux compute platforms, including boot flow, kernel and driver configuration, BSP customization, and system-level debugging.
Strong Python and C++ (or comparable) skills, with experience building tools and automation used by other engineers.
Experience designing or maintaining Hardware-in-the-Loop, Software-in-the-Loop, or equivalent validation environments, and working with CI/CD and automated test frameworks.
Working knowledge of vehicle and robotics communication stacks such as Ethernet, CAN, PTP, DDS, and ROS 2, including deployment on embedded targets.
Proven ability to lead cross-domain root-cause investigations using logs, telemetry, bus captures, and lab instrumentation.
Strong written and verbal communication, experience mentoring or leading technical work without direct authority, and comfort working in vehicles and lab environments with occasional travel to test sites.
Bonus Points
Experience integrating autonomous vehicle, ADAS, or robotics platforms in a production or pre-production setting, especially trucking or heavy-duty vehicles.
Familiarity with functional safety or safety-critical development practices (ISO 26262, SOTIF, or equivalent).
Experience with automotive Ethernet, SOME/IP, or time-sensitive networking.
Experience with NVIDIA DRIVE or similar SoC/GPU platforms, or with Yocto, Buildroot, or custom Linux distributions.
Experience with sensor integration and calibration, fleet telemetry, remote diagnostics, or over-the-air update systems.
Hiring Range for Job Opening
US Pay Range
$153,200—$183,800 USD