1454 Network Systems Engineer jobs in Mountain View, CA
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Sr. Category Sourcing Manager, AIS-SC Networking

Amazon Data Services

Cupertino, CA 95014

$126,500/yr

Bachelor's Degree

Within 15 miles of Cupertino, CA

~ 13 min OnsiteUrgently Hiring

  • 5+ years of developing, negotiating and executing business agreements experience
  • Experience developing strategies that influence leadership decisions at the organizational level
  • 5+ years of professional or military experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
  • Bachelor's degree
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Software Development Engineer, Nitro SSD

Amazon

Cupertino, CA 95014

$129,300/yr

Within 15 miles of Cupertino, CA

~ 13 min OnsiteUrgently Hiring

  • Experience programming with at least one software programming language
  • 3+ years of non-internship professional software development experience
  • 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 3+ years of experience in software design and development for embedded storage systems
  • 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
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Senior Principal Engineer- AI-based Autonomous Driving Systems

Bosch Group

Sunnyvale, CA 94087

~ 11 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
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