• Senior Software Development Engineer Embedded Systems

    Company/Location (search) DE-Aachen
    Posted Date 2 months ago(6/5/2018 7:00 AM)
    Job ID
    672071
    # Positions
    1
    Position Category for Posting
    Software Development
  • Job Description

    Interested in creating systems and services that bring the power of Machine Learning (ML) to new application fields? With products such as Amazon Transcribe, Amazon Rekognition and Amazon Sagemaker, we are setting the standard for high-performance, easy-to-use and cost-effective ML services. Our team expands this portfolio to new applications and industries.

    As a Senior Software Development Engineer for our embedded systems, you will be responsible for designing, developing, testing, and deploying device software that is part of distributed machine learning systems and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with a team of ML scientists to influence our overall strategy and define the team’s road map. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering embedded software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.

    Basic Qualifications

    • BS in Electrical Engineering or equivalent
    • 10+ years of industry experience in embedded systems with at least some experience as team lead or architect
    • Strong programming skills
    • Experience with both RTOS (preferably FreeRTOS) and Linux
    • Mastery of the tools of the trade, including experience with a variety of programming languages and open-source technologies
    • Experience with signal processing, sensors or IoT

    Preferred Qualifications

    • Advanced degree (MS, PhD)
    • Strong sense of ownership, customer obsession, and drive
    • Experience and deep understanding of design for scalability, performance and reliability
    • Sharp analytical abilities and proven design skills
    • Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices
    • Excellence in technical communication with peers and non-technical cohorts
    • Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
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