Lead software integration with a systematic approach to streamline embedded development within NVIDIA and across NVIDIA Drive Autonomous vehicle solution partners
Contribute to platform software development, tools, filesystem customization, and software integration in various OS environments
Work closely with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to manage cross-team dependencies, align schedules, coordinate progress, and debug to meet production release timelines
Regularly engage with customer teams to productize workflows for platform integration
Enhance integration efficiency to facilitate low latency development on Tegra-based Autonomous Vehicle Simulation & Car platforms
Contribute to best practices for building, testing, and releasing software
Analyze complex technical issues and independently drive resolution across multiple teams to enable the best user experience
Work in an environment involving Hypervisor, Linux, and QNX RTOS
Requirements
BS/MS or higher in Computer Engineering, Computer Science, or related engineering fields (or equivalent experience)
8+ years of relevant industry experience
Strong software development skills in Python
Proficient debugging skills from application to kernel level on embedded hardware
Experience in software architecture design
Proven experience in embedded systems with SW/HW cross-domain knowledge
Strong communication skills and ability to collaborate with multiple cross-functional teams
Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment
Self-motivated, organized, and proactive engineer
Benefits
equity
benefits
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