1352 Embedded Software Engineer jobs in Los Altos, CA
Perfect Match
Apply Directly
Embedded Software Dev Engineer, Simulation Foundations

Amazon Kuiper Manufacturing Enterprises LLC

Sunnyvale, CA 94087

$129,300/yr

Within 15 miles of Sunnyvale, CA

~ 16 min OnsiteUrgently Hiring

  • Have worked on FreeRTOS or any real time operation system before
  • Have expertise with Linux and RTOS
  • Experience programming with at least one software programming language
  • Knowledge of networking protocols and applications, including TCP/IP
  • Experience with systems integration and testing methodologies
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 3+ years of non-internship professional software development experience
  • ARM A, M series or ARC processor emulator experience. e.g. QEMU
  • Embedded software testing tool development
  • Solid aptitude in protocol standards such as IPv4, IPv6, Mobile IP, LTE, 802.16e, 802.11b/g/n/ac
  • Write high-quality Linux based software for common processors and microcontrollers (e.g. ARM, PowerPC, x86, etc.)
  • Deep understanding of testing, continuous integration, build, deployment & continuous monitoring
  • Strong theoretical background in Wireless Networks
  • Knowledge of object-oriented programming concepts
SmartExplore AI is experimental.
Apply Directly
Senior Principal Engineer- AI-based Autonomous Driving Systems

Bosch Group

Sunnyvale, CA 94087

~ 16 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Proficient in coding e.g. with C++, Python
  • Master or PhD in Computer Science, Electrical Engineering or similar
  • Proven industry experience in product development and public road release of AI-based autonomous driving systems
  • 10+ years of experience in data-driven software engineering and product development of AI-based autonomous driving systems
  • Excellent leadership and communication skills to effectively lead and collaborate with R&D teams
  • Profound knowledge in mapping AI-models on embedded and resource constrained hardware
  • Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale
  • Knowledge of PaaS approach using cloud as a foundation, e.g. MS Azure
SmartExplore AI is experimental.
Recent Searches

    Privacy PolicyTerms of Use, and Your Privacy Choices