Customize, reconfigure and rebuild processing pipelines in the software stack.
Integrate hardware and software components efficiently and build scalable solutions alongside our partners
Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy solutions to our customers.
What we need to see
Well-rounded knowledge of how an autonomous vehicle stack—or any similarly complex system—functions, and real-world experience solving the challenges of bringing diverse components together into a scalable solution
5+ years of work related experience in software development related to embedded systems and/or autonomous driving technologies.
BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).
Excellent C/C++ development skills with good knowledge of Python.
Established proficiency in system performance and complexity evaluation to optimize the system and resolve application issues.
Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and development guided by measurable outcomes.
Ability to adapt to fast paced development lifecycles and multi-functional organizations, new technologies and platforms.
Strong analytical skills, strive for innovative solutions, with outstanding attention to details.
Ways to stand out from the crowd
Familiarity of NVIDIA DRIVE platform and NVIDIA GPU hardware and CUDA programming.
Software development experience on QNX or equivalent RTOS.
Prior experience in application development and familiarity with middleware frameworks and intricate system-level integrations.
Experience as ADAS software engineer at a Tier 1 or OEM
In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR.
